From 07b535710bd5a0abe2f1ef8e0e5c70892a5cceab Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 7 Jul 2026 20:15:36 +0530 Subject: [PATCH 01/39] =?UTF-8?q?docs(agent):=20Wave=201=20foundation=20?= =?UTF-8?q?=E2=80=94=20overview,=20concepts,=20and=20diagrams?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Evolve the KloudMate Agent section for agent v2: - Rewrite index.mdx around the "install once, instrument everything" model, the L0–L5 layered stack, and a platform capability matrix. - Add concepts/: architecture (control plane vs data plane), layered instrumentation, discovery, and the managed/manual configuration model. - Port the architecture, instrumentation-flow, and benefits SVG diagrams. - Scaffold the remaining v2 IA as draft stubs so cross-wave links resolve; set target sidebar order on ebpf-observability (5) and management (11). Sources: docs/agentv2 HLD 00/01/02, lld-discovery, lld-config-model, ADR-0003, and user-facing-feature-inventory. Co-Authored-By: Claude Opus 4.8 --- .../advanced-configuration.mdx | 11 ++ .../auto-instrumentation/go-ebpf.mdx | 11 ++ .../auto-instrumentation/kubernetes.mdx | 11 ++ .../auto-instrumentation/linux-systemd.mdx | 11 ++ .../auto-instrumentation/overview.mdx | 11 ++ .../auto-instrumentation/php.mdx | 11 ++ .../auto-instrumentation/sampling.mdx | 11 ++ .../auto-instrumentation/windows-dotnet.mdx | 11 ++ .../baseline/host-metrics-and-logs.mdx | 11 ++ .../docs/kloudmate-agent/concepts/_meta.json | 5 + .../kloudmate-agent/concepts/architecture.mdx | 86 ++++++++ .../kloudmate-agent/concepts/config-model.mdx | 70 +++++++ .../kloudmate-agent/concepts/discovery.mdx | 77 ++++++++ .../concepts/images/architecture.svg | 185 ++++++++++++++++++ .../concepts/images/instrumentation-flow.svg | 106 ++++++++++ .../concepts/layered-instrumentation.mdx | 76 +++++++ .../database-monitoring/credentials.mdx | 11 ++ .../engines-and-coverages.mdx | 11 ++ .../database-monitoring/on-kubernetes.mdx | 11 ++ .../database-monitoring/on-vm.mdx | 11 ++ .../database-monitoring/overview.mdx | 11 ++ .../kloudmate-agent/ebpf-observability.mdx | 2 +- .../images/agent-v2-benefits.svg | 96 +++++++++ .../docs/docs/kloudmate-agent/index.mdx | 88 ++++++--- .../docs/docs/kloudmate-agent/management.mdx | 2 +- .../kloudmate-agent/platform-notes/docker.mdx | 11 ++ .../platform-notes/kubernetes.mdx | 11 ++ .../platform-notes/windows.mdx | 11 ++ .../reference/design-decisions.mdx | 11 ++ .../kloudmate-agent/reference/glossary.mdx | 11 ++ .../reference/metric-catalogs.mdx | 11 ++ .../reference/telemetry-identity.mdx | 11 ++ .../self-observability/health-metrics.mdx | 11 ++ .../self-observability/self-logs.mdx | 11 ++ .../self-observability/self-telemetry.mdx | 11 ++ .../docs/kloudmate-agent/troubleshooting.mdx | 11 ++ .../kloudmate-agent/web-server-monitoring.mdx | 11 ++ 37 files changed, 1049 insertions(+), 30 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx 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a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx new file mode 100644 index 00000000..ec3d4f73 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx @@ -0,0 +1,11 @@ +--- +title: "Advanced configuration" +description: "Manual YAML editing, custom receivers, sampling, overhead tuning, autonomous instrumentation, and credential rotation for the agent." +draft: true +sidebar: + order: 12 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx new file mode 100644 index 00000000..2ea3e5dd --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx @@ -0,0 +1,11 @@ +--- +title: "Go (eBPF)" +description: "How the KloudMate agent covers Go services through eBPF uprobes rather than code injection, with parent-span correlation." +draft: true +sidebar: + order: 6 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx new file mode 100644 index 00000000..e80f0261 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx @@ -0,0 +1,11 @@ +--- +title: "Kubernetes" +description: "How the KloudMate agent instruments Kubernetes workloads using the OpenTelemetry Operator, mirroring the per-service flow on Linux." +draft: true +sidebar: + order: 3 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx new file mode 100644 index 00000000..5aab9eef --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx @@ -0,0 +1,11 @@ +--- +title: "Linux (systemd)" +description: "How the KloudMate agent instruments Java, Node.js, Python, and .NET services on Linux using systemd drop-in files." +draft: true +sidebar: + order: 2 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx new file mode 100644 index 00000000..b64eed75 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -0,0 +1,11 @@ +--- +title: "Application APM overview" +description: "How the KloudMate agent adds distributed tracing to your applications one service at a time, with restart consent and automatic rollback." +draft: true +sidebar: + order: 1 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx new file mode 100644 index 00000000..57b2baf8 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx @@ -0,0 +1,11 @@ +--- +title: "PHP" +description: "How the KloudMate agent adds route-level tracing to PHP applications, including PHP 7 which has no native OpenTelemetry path." +draft: true +sidebar: + order: 5 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx new file mode 100644 index 00000000..c98f7f8c --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx @@ -0,0 +1,11 @@ +--- +title: "Sampling" +description: "How to set a global sampling default and per-service overrides to balance trace fidelity against ingestion cost." +draft: true +sidebar: + order: 7 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx new file mode 100644 index 00000000..7bb322f7 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx @@ -0,0 +1,11 @@ +--- +title: "Windows and .NET" +description: "How the KloudMate agent instruments .NET applications on Windows using the CLR profiler, plus Java, Node.js, and Python via registry env." +draft: true +sidebar: + order: 4 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx new file mode 100644 index 00000000..1b7cefd3 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx @@ -0,0 +1,11 @@ +--- +title: "Host metrics and logs" +description: "What the KloudMate agent collects automatically after install: host metrics and system logs across Linux, Windows, Kubernetes, and Docker." +draft: true +sidebar: + order: 1 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/concepts/_meta.json b/src/content/docs/docs/kloudmate-agent/concepts/_meta.json new file mode 100644 index 00000000..3b8d4ea2 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/concepts/_meta.json @@ -0,0 +1,5 @@ +{ + "label": "Concepts", + "order": 2, + "collapsed": true +} diff --git a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx new file mode 100644 index 00000000..7680c653 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx @@ -0,0 +1,86 @@ +--- +title: "Architecture" +description: "How the KloudMate agent splits into a control plane and a data plane, and how the same model maps onto Linux, Windows, Kubernetes, and Docker." +sidebar: + order: 1 +--- + +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +The KloudMate agent is built around a clear split: a **control plane** that decides what to collect, and a **data plane** that does the collecting. This page explains the two halves, the check-in protocol that connects them, and how the same model maps onto each deployment mode. + +## Design principles + +The agent follows five principles that shape everything else in this section: + +- **Baseline is automatic; depth is opt-in.** Anything that is safe and zero-risk (host metrics, logs, and the eBPF baseline) turns on automatically. Anything that requires a process restart or touches your application code is opt-in, one service at a time. +- **Configuration is generated, not hand-written.** A structured set of features and integrations compiles into collector configuration. The raw YAML editor stays as an advanced escape hatch, not the primary experience. +- **Reuse the ecosystem.** The agent leans on OpenTelemetry (OTel) language agents, the OpenTelemetry .NET profiler, and an extended Berkeley Packet Filter (eBPF) baseline. KloudMate adds discovery, the control-plane glue, and the user experience. +- **Mirror the Kubernetes contract.** The flow is the same everywhere: discover, choose settings, the agent self-applies, then reports status back. +- **Separate "apply instrumentation" from "restart collector."** Instrumentation actions run on their own path, independent of the collector's configuration-driven restarts. + +## Control plane and data plane + +``` +Control plane (KloudMate) Data plane (your host or cluster) +┌──────────────────────────┐ ┌──────────────────────────────────┐ +│ Web interface │ │ KloudMate agent │ +│ • discovered inventory │ │ • embedded OTel Collector │ +│ • feature/integration │ check-in │ • service discovery │ +│ toggles │◀──────────▶│ • instrumentation manager │ +│ Backend │ protocol │ • updater loop │ +│ • config generation │ │ │ +│ • inventory ingest │ │ exports telemetry ──▶ KloudMate │ +└──────────────────────────┘ └──────────────────────────────────┘ +``` + +### Control plane + +The control plane runs inside KloudMate: + +- The **web interface** shows the discovered inventory for each host or cluster and lets you toggle features and per-service instrumentation. +- The **backend** stores what each agent should collect, generates the collector configuration from your enabled integrations, and ingests the inventory the agent reports. + +### Data plane + +The data plane is the agent itself, running on your host or cluster. It bundles several parts: + +- The **embedded OpenTelemetry Collector**, which runs the receivers, processors, and exporters that actually collect and ship telemetry. +- The **discovery service**, which inventories the services, runtimes, and databases on the host. See [Discovery](../discovery/). +- The **instrumentation manager**, which applies per-service instrumentation (for example, systemd drop-ins on Linux or registry entries on Windows) when you opt in. +- The **updater loop**, which checks in with the control plane, applies new configuration, and reports status. + +Every layer of telemetry exports through the same embedded collector, so there is no separate ingestion path to manage. + +![The KloudMate agent architecture: the control plane generates configuration that the data-plane agent applies, while the embedded collector, discovery, and instrumentation manager run on the host.](./images/architecture.svg) + +## The check-in protocol + +The two planes stay in sync through a periodic check-in: + +1. The agent reports what it found (discovered services and host capabilities such as kernel version and eBPF support) to the control plane. +2. The control plane generates the collector configuration from your enabled integrations and returns it, along with any per-service instrumentation settings you have chosen. +3. The agent applies the configuration. If the configuration changed, it restarts the embedded collector. If you toggled a service for instrumentation, the instrumentation manager applies it on its own path. + +Because configuration flows one way (from the control plane to the agent), a change you make in the web interface reaches every matching agent on its next check-in without any manual steps on the host. + +## How the model maps onto each deployment mode + +The control-plane and data-plane split is the same in every mode. What changes is how the data plane is packaged and how it applies instrumentation. + +| Mode | Data-plane packaging | Instrumentation mechanism | +|---|---|---| +| Linux / VM | A single agent running as a systemd service, with an embedded collector. | systemd drop-in files per service. | +| Windows | A single agent running as a Windows service. | Registry and Internet Information Services (IIS) configuration per service or application pool. | +| Kubernetes | A control-plane pod (fleet manager) plus DaemonSet and Deployment collector pods. One agent represents one cluster. | OpenTelemetry Operator annotations on workloads. | +| Docker | A containerized collector started in Docker mode. | Host metrics, logs, and eBPF today; per-container injection is rolling out. | + +On Kubernetes, the agent keeps a two-plane split of its own: a fleet-manager pod acts as the on-cluster control-plane applier, while the DaemonSet and Deployment collector pods form the data plane. Per-node identity is carried on resource attributes, so one cluster appears as one agent rather than many. See [Kubernetes platform notes](../../platform-notes/kubernetes/). + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx new file mode 100644 index 00000000..710d656b --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx @@ -0,0 +1,70 @@ +--- +title: "Configuration model" +description: "How the KloudMate agent turns feature and integration toggles into collector configuration, and how managed and manual modes, history, and credentials work." +sidebar: + order: 4 +--- + +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +The configuration model is what lets you turn features on and off from the web interface instead of hand-editing collector YAML. It underpins the eBPF baseline, application performance monitoring (APM), database monitoring, and every other capability you toggle in the interface. This page explains how it works so the rest of the agent documentation can refer back to it. + +## From toggles to configuration + +Instead of storing one opaque YAML blob per agent, KloudMate stores a structured set of **integrations** for each agent and generates the collector configuration from them. An integration is a single capability, such as `hostmetrics`, `logs`, `ebpf`, `postgresql`, `mysql`, `redis`, or `nginx`. Each integration has: + +- An **enabled** flag. +- **Settings** specific to that integration, such as collection intervals, endpoints, or a credential reference. +- **Platform applicability**, so an integration only appears where it makes sense. +- An optional **capability gate**. For example, the `ebpf` integration is gated on the host's kernel version, so it is skipped with a reason when the kernel is too old. + +When you toggle an integration, the control plane recompiles the configuration from your enabled integrations and a platform base profile, and the agent applies the result on its next check-in. You never edit the YAML directly in this flow. + +## Managed and manual modes + +Every agent has a `config_mode` that is either **managed** or **manual**. + +| | Managed mode | Manual mode | +|---|---|---| +| Who owns the configuration | KloudMate generates it from your integrations | You own the raw YAML | +| YAML editor | Read-only preview | Editable | +| Feature and integration toggles | Available | Disabled | +| Default for | New agents | Existing agents after upgrade | + +- In **managed mode**, the configuration is generated from your enabled integrations every time. The YAML editor shows a read-only preview of what was generated. Toggling a feature regenerates the configuration deterministically. +- In **manual mode**, you own the YAML blob. The integration toggles are disabled, and the YAML editor is writable. This is the advanced escape hatch for setups that need hand-tuned configuration. + +TODO(screenshot): the managed/manual mode toggle and the integrations panel in Agent settings. + +## Deterministic generation + +Generation is deterministic: the same set of enabled integrations always produces the same configuration, with stable ordering of keys and pipeline components. This matters because the agent decides whether to restart the collector by comparing configuration. Deterministic output means that reordering integrations, or regenerating without a real change, does not produce a different result, so the agent does not restart the collector needlessly. + +## Configuration history and rollback + +KloudMate keeps the last several generated configurations for each agent. You can review the history and roll back to an earlier configuration by selecting it, which is useful for auditing changes and recovering from a bad edit. + +## Credentials + +Integrations that need credentials, such as database receivers, support two ways to provide them: + +- **Environment or secret reference (default):** the credential is stored as a reference, and the generated configuration emits a placeholder that the agent resolves from an environment variable on the host. The plaintext value never leaves the host. +- **Plaintext inline (opt-in):** the value is stored and written into the generated configuration directly. The interface shows a clear "stored unencrypted" warning, because the value then lives in the configuration and on the agent's disk. + +Environment reference is the recommended default, and it also makes credential rotation easier, because you update the secret on the host without changing the agent's configuration. See [Database credentials](../../database-monitoring/credentials/). + +## Migrating existing agents + +When an agent is upgraded, it defaults to **manual** mode so nothing changes unexpectedly: it keeps serving the configuration it had. To adopt the structured model, you switch the agent to **managed** mode, which seeds its integrations from a sensible default profile plus anything discovery has found. New agents start in managed mode with the default profile of host metrics, logs, and the eBPF baseline. + +:::caution +Switching an agent from manual to managed mode replaces its hand-edited YAML with generated configuration. A snapshot of the previous configuration is kept in the configuration history, but review the change before you switch a production agent. +::: + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx new file mode 100644 index 00000000..0b4ceea6 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx @@ -0,0 +1,77 @@ +--- +title: "Discovery" +description: "How the KloudMate agent inventories the services, runtimes, and databases on each host, and how that inventory powers instrumentation and monitoring." +sidebar: + order: 3 +--- + +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Discovery is the foundation of every opt-in action in the agent. It builds a live inventory of what runs on each host or cluster, so the web interface can offer to instrument a service or monitor a database instead of asking you to configure it by hand. Discovery runs on all deployment modes. + +## What discovery finds + +The agent enumerates two kinds of things: + +- **Application services**, classified by runtime (Java, .NET, Node.js, Python, PHP, Go, and Ruby), with framework and web-server hints (nginx, Apache, and php-fpm) where they apply. +- **Databases and middleware** running locally, such as PostgreSQL, MySQL, Redis, and MongoDB. + +For each service, discovery records how it is managed and which ports it listens on, so instrumentation and database wiring know what to act on. + +## The Discovered Services list + +Discovery surfaces its inventory as a **Discovered Services** list on the host detail page in the web interface. Each entry shows: + +- **Name** and **runtime** (for example, `checkout` running Java). +- **Runtime version**, where it affects a decision (for example, the PHP major and minor version, or whether a .NET app runs on .NET Framework or .NET Core). +- **Kind**: how the service is managed, such as a systemd unit, a bare process, a container, a Windows service, or an Internet Information Services (IIS) application pool. +- **Listen ports**. +- **State**: `running` or `idle`. Discovery also reports installed-but-not-running services as `idle`, so you can choose to instrument one on its next start. +- **Instrumentable** flag: whether the agent has a way to attach application tracing to that runtime. + +:::note +The `instrumentable` flag reflects whether an injection path exists for the runtime. Java, .NET, Node.js, and Python are instrumentable. PHP is instrumentable when a tracer is available for the detected version. Go is not injected: it is covered by the eBPF baseline instead, so it appears as covered rather than instrumentable. +::: + +TODO(screenshot): Discovered Services list on the host detail page, showing runtime, kind, listen ports, state, and the instrumentable flag. + +## Stable service identity + +Each discovered service is assigned a **stable identity** that survives restarts and process-ID churn. This is what lets an "Instrument" choice keep applying after a service restarts or its process ID changes. The identity is derived deterministically, in order of preference: + +1. The **systemd unit name** (for example, `checkout.service`) when the process belongs to a unit. This is the most stable key. +2. The **container image or Compose service** when the service runs in a container, so a selection survives container restarts rather than tracking a throwaway container ID. +3. A **fingerprint** of the executable path, normalized command line, and listen ports for a bare process. + +Because the identity is derived the same way on the agent and in the control plane, both sides agree on which service is which without extra coordination. + +## Where discovery gets its data + +Discovery combines several sources so it stays accurate on any kernel: + +- **eBPF service detection** is the primary source where the extended Berkeley Packet Filter (eBPF) baseline is enabled. It already detects services and languages and watches process lifecycle. +- A **process scan** runs alongside for completeness, catching idle or just-started services that eBPF has not reported yet. +- On kernels without eBPF, the process scan is the fallback, so discovery still works. +- On **Windows**, discovery reads IIS sites and application pools, the Service Control Manager, and Windows Management Instrumentation (WMI) to enumerate services and their listen ports. See [Windows platform notes](../../platform-notes/windows/). + +## Privacy and safety + +Discovery is designed to keep sensitive data on the host: + +- It **never sends raw environment variables or full command lines** to the control plane, because these can contain secrets. It extracts only the signals it needs to classify a service (runtime, version, and listen ports) and discards the rest. +- It respects a deny-list so it does not surface or try to instrument the agent itself or developer tools. + +## How discovery powers the rest of the agent + +The Discovered Services list is the entry point for the opt-in layers: + +- **Application APM:** each instrumentable service carries an **Instrument** toggle that starts the per-service tracing flow. See [Application APM](../../auto-instrumentation/overview/). +- **Database monitoring:** a discovered database starts the monitoring wizard, which prefills the engine and endpoint. See [Database monitoring](../../database-monitoring/overview/). + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/images/architecture.svg b/src/content/docs/docs/kloudmate-agent/concepts/images/architecture.svg new file mode 100644 index 00000000..f1bd6c80 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/concepts/images/architecture.svg @@ -0,0 +1,185 @@ + + KloudMate Agent v2 — VM auto-instrumentation architecture + A Linux VM runs kmagent: a control-plane executor (discovery, auto-instrument join, instrumentation manager, eBPF capability gate) plus a collector export hub. Opt-in per-service injection and an eBPF baseline feed app traces and RED/map telemetry to the collector, which exports to KloudMate. A backend and frontend drive the agent via the /agents/config-check protocol. A layered model L0–L5 maps the instrumentation depth. + + + + + + + + + + + KloudMate Agent v2 — VM Auto-Instrumentation + Install once → discover · instrument · eBPF baseline. Server-pushed config; all telemetry exits via the existing collector pipeline. + + + CONTROL PLANE + + + + kloudmate-frontend (UI) + Discovered-services tab + Per-service Instrument toggle + + + + + kloudmate-backend — control plane + config-check handler · structured config generation + inventory ingest · getVmConfig (mirror K8s) + + + + + Postgres / Hasura + agents · agent_integrations + vm_resources · config.vm · vm_apm + + + + + + + + + + POST /agents/config-check + unified host + K8s contract + ↓ config · vm_apm · restart + ↑ capabilities · discovered_services · status + + + + VM — Linux host + · kmagent (systemd) · all telemetry exits via the existing collector + + + + kmagent — control-plane executor + updater loop drives /agents/config-check check-in + + + + + Discovery + internal/discovery/vm + /proc · classify · ports + stable service_id + + + + Auto-instrument + internal/autoinstrument + discovery + opt-in + → desired-state + + + + Instrumentation mgr + internal/instrumentation/vm + systemd drop-ins + restart + rollback + + + + Capabilities + gate + internal/capabilities · /ebpf + kernel/BTF/caps probe + gates the eBPF receiver + + + + + + + + Instrumented services — systemd, opt-in per service + + + Java + javaagent + + .NET + CLR profiler + + Node.js + --require + + Python + sitecustomize + + PHP 7.x + Zend extension + + + + + eBPF — ebpfreceiver / OBI fork + RED metrics · service map · DAM — zero-code + attaches to all processes + kernel-gated (≥ 4.14) + + + + Collector (otelcol) — export hub + receivers: hostmetrics · filelog · otlp :4318 · ebpfreceiver · db* + single pipeline — no new ingestion path + + + + writes drop-in + (consent) restart + + enables ebpfreceiver + + app traces · OTLP :4318 + + eBPF spans + metrics + + + + + + + KloudMate + OTLP ingest — traces/metrics/logs + + + Layered model + baseline auto · depth opt-in + + + + L5 · Legacy app traces + native PHP 7 Zend extension + + L4 · DB & middleware + auto-wired receivers + eBPF DAM + + L3 · Modern app traces + injector: Java/.NET/Node/Python + + L2 · Universal RED / map + eBPF — default-on, kernel-gated + + L1 · Infra / host + hostmetrics · filelog · journald + + L0 · Discovery + service / runtime / DB inventory + + + + + + + kmagent components + + apps · control plane · layers + + telemetry flow + + control / config flow + + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg b/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg new file mode 100644 index 00000000..7019c09e --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg @@ -0,0 +1,106 @@ + + How zero-code instrumentation works + The KloudMate agent runs on virtual machines and Docker hosts and covers the whole stack three ways with no source-code changes: kernel-level eBPF reads traffic on the wire for app traces and database activity with no restart; per-language runtime instrumentation adds deep, framework-aware traces; and database monitoring connects with read-only access to surface slow queries, locks and health. The agent processes everything on your host and sends it securely to KloudMate. + + + + + + + + + KloudMate agent · v2 + + + + + + + Runs on VMs and Docker + + How zero-code instrumentation works + The agent covers your whole stack three ways — none of them touch your source code. + + + Install the agent + + + + Auto-discover services + apps, databases and runtimes on the host + + + + + + + No source-code changes — ever. + + + + + + + + eBPF · kernel level + + runtime instrumentation + + database monitoring + + + Attach eBPF probes + nothing to deploy + + + Read traffic on the wire + HTTP, gRPC and SQL + + + + App traces + DB activity + every request · no restart + + + Auto-instrument the app + Java · Node · Python · .NET · PHP + + + Restart, health-gated + restart, not rewrite · auto-rollback + + + + Deep, framework-aware traces + method level · no code edits + + + Connect, read-only + guided by a wizard + + + Run safe queries + logs + top queries, locks, health + + + + Slow queries, locks, health + per database · no app changes + + + + + + + + Processed on your host + lightweight and secure + + + + KloudMate + traces · service map · database monitoring + + + green = no source-code changes + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx b/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx new file mode 100644 index 00000000..d7a1a715 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx @@ -0,0 +1,76 @@ +--- +title: "The layered instrumentation model" +description: "The KloudMate agent collects telemetry in six layers, from automatic host and eBPF baseline through opt-in application, database, and legacy tracing." +sidebar: + order: 2 +--- + +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +The KloudMate agent organizes what it collects into six layers, labeled L0 through L5. The lower layers are automatic and carry no risk to your applications. The upper layers require a process restart, so you turn them on for each service when you are ready. This "zero-config baseline plus opt-in depth" model is what lets you install once and then instrument everything at your own pace. + +Every layer exports through the same embedded OpenTelemetry (OTel) Collector, so adding a layer never adds a new pipeline for you to manage. + +## The layers at a glance + +| Layer | What it provides | How it turns on | +|---|---|---| +| L0: Discovery | Live inventory of services, runtimes, and databases | Automatic | +| L1: Host metrics and logs | CPU, memory, disk, network, and system logs | Automatic | +| L2: eBPF baseline | RED metrics, service map, Database Activity Monitoring, context propagation | Automatic (kernel-gated) | +| L3: Application APM | Distributed traces for Java, Node.js, Python, .NET | Opt-in per service | +| L4: Databases and middleware | Server-side database metrics and logs | Opt-in per database | +| L5: Legacy application traces | Route-level traces for PHP 7 | Opt-in per service | + +![The KloudMate instrumentation flow: install, discover, and collect the automatic baseline, then opt in to application, database, and legacy tracing per service.](./images/instrumentation-flow.svg) + +## The automatic baseline (L0 to L2) + +The first three layers turn on without any configuration and without touching your applications. + +### L0: Discovery + +Discovery inventories the application services, runtimes, and databases running on each host or cluster. It classifies each service by runtime (Java, .NET, Node.js, Python, PHP, Go, and Ruby), notes how it is managed and which ports it listens on, and marks whether the agent has a way to instrument it. This inventory powers the "we found these services, instrument them?" prompts in the web interface. See [Discovery](../discovery/). + +### L1: Host metrics and logs + +After install, the agent collects host metrics (CPU, memory, disk, and network) and system logs automatically. This is the same infrastructure telemetry the agent has always provided, and it needs no configuration. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). + +### L2: eBPF baseline + +Where the Linux kernel supports it, the extended Berkeley Packet Filter (eBPF) baseline turns on by default. It observes traffic directly from the kernel to produce: + +- **RED metrics** (Rate, Errors, and Duration) for your services. +- A **network service map** with peer-to-peer latency. +- **Database Activity Monitoring (DAM)**, which parses database queries on the wire with no credentials. +- **Trace-context propagation** across services over HTTP, and correlation between logs and traces. + +None of this requires code changes or SDKs. See [eBPF observability](../../ebpf-observability/). + +## Opt-in depth (L3 to L5) + +The upper layers attach to individual services and need a restart of that service, so you enable them one at a time. + +### L3: Application APM + +Application performance monitoring (APM) attaches OpenTelemetry auto-instrumentation to a modern application to produce full distributed traces. You toggle a service to instrument it, consent to the restart, and traces begin flowing, correlated with the eBPF spans from L2. Supported runtimes include Java, Node.js, Python, and .NET. See [Application APM](../../auto-instrumentation/overview/). + +### L4: Databases and middleware + +Database monitoring adds server-side receivers that read a database engine's own health metrics and logs (connections, cache hit ratio, replication lag, slow queries, and more). This complements the wire-side view that eBPF DAM provides at L2: eBPF shows the application-to-database traffic, while the receivers show the server's internal state. See [Database monitoring](../../database-monitoring/overview/). + +### L5: Legacy application traces + +PHP 7 has no native OpenTelemetry path, so the agent brings route-level tracing to PHP 7 applications through a dedicated tracer. The resulting traces share trace identifiers with the eBPF baseline, so they join the same distributed traces as everything else. See [PHP instrumentation](../../auto-instrumentation/php/). + +## Why the split matters + +Splitting automatic layers from opt-in layers keeps the blast radius of instrumentation small. You get immediate, safe visibility from L0 to L2 the moment the agent is installed. When you want deeper application traces, you enable L3 to L5 for a single service, review the result, and expand from there, rather than instrumenting your whole fleet at once. + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx new file mode 100644 index 00000000..cca24d91 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx @@ -0,0 +1,11 @@ +--- +title: "Database credentials" +description: "The three credential modes for database monitoring: environment reference, plaintext inline, and operator-managed secrets." +draft: true +sidebar: + order: 5 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx new file mode 100644 index 00000000..28cc21f3 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx @@ -0,0 +1,11 @@ +--- +title: "Engines and coverages" +description: "The database engines the KloudMate agent monitors and the metric and log coverages available for each." +draft: true +sidebar: + order: 2 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx new file mode 100644 index 00000000..8f7b5ad3 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx @@ -0,0 +1,11 @@ +--- +title: "Database monitoring on Kubernetes" +description: "How the KloudMate agent monitors in-cluster databases from the cluster collector, using a Kubernetes Secret for credentials." +draft: true +sidebar: + order: 4 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx new file mode 100644 index 00000000..35e8ad45 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx @@ -0,0 +1,11 @@ +--- +title: "Database monitoring on a VM" +description: "How database monitoring works on a Linux or Windows virtual machine, including endpoint canonicalization." +draft: true +sidebar: + order: 3 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx new file mode 100644 index 00000000..af38d123 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx @@ -0,0 +1,11 @@ +--- +title: "Database monitoring overview" +description: "How the KloudMate agent monitors databases with server-side receivers and eBPF wire-side spans, driven by a discovery-led wizard." +draft: true +sidebar: + order: 1 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index 69519a79..ee85db1b 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -2,7 +2,7 @@ title: "eBPF Observability" description: "Enable KloudMate Agent eBPF features to collect APM, service dependency, network, and database telemetry without code changes." sidebar: - order: 3 + order: 5 --- eBPF (Extended Berkeley Packet Filter) allows the KloudMate Agent to observe your applications directly from the Linux operating system kernel. You get deep visibility into network traffic, database queries, and application performance **without changing a single line of code or installing SDKs**. diff --git a/src/content/docs/docs/kloudmate-agent/images/agent-v2-benefits.svg b/src/content/docs/docs/kloudmate-agent/images/agent-v2-benefits.svg new file mode 100644 index 00000000..45ef6a18 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/images/agent-v2-benefits.svg @@ -0,0 +1,96 @@ + + KloudMate agent v2 — features and benefits + Install one agent for full-stack monitoring with no code changes: fast setup, automatic app tracing, a unified view of apps, databases, infrastructure, network and cloud, database insights, self-healing reliability, and it runs anywhere. + + + + + + KloudMate agent · v2 + + Install once. See everything. + Change nothing. + + A lightweight agent gives you full-stack monitoring across your apps, + databases, servers and network — with no code changes or per-app setup. + + + + Applications + + Databases + + Infrastructure + + Network + + Any cloud + + + + + + + Up and running in minutes + Install the agent — it finds + your apps, databases and servers. + + + + + + + No code changes + Apps trace themselves across + Java, Node, Python, .NET, PHP. + + + + + + + Your whole stack, one view + Apps, databases, servers and + network, together in one place. + + + + + + + + Database insight made easy + Find slow queries, locks and + health across Postgres, MySQL. + + + + + + + Monitoring you can trust + The agent watches its own + health and recovers itself. + + + + + + + Runs anywhere you do + VMs, containers, Kubernetes + and every major cloud. + + + + + + Find issues faster + + No blind spots + + Less setup, lower effort + + + Less time instrumenting. More time shipping. + diff --git a/src/content/docs/docs/kloudmate-agent/index.mdx b/src/content/docs/docs/kloudmate-agent/index.mdx index 1475a5bb..27ebe64d 100644 --- a/src/content/docs/docs/kloudmate-agent/index.mdx +++ b/src/content/docs/docs/kloudmate-agent/index.mdx @@ -1,6 +1,6 @@ --- title: "KloudMate Agent" -description: "Install and operate the KloudMate agent across Linux, Docker, Windows, and Kubernetes." +description: "Install the KloudMate agent once to automatically collect host, network, database, and application telemetry across Linux, Windows, Kubernetes, and Docker." sidebar: label: "Overview" order: 1 @@ -8,41 +8,64 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The **KloudMate Agent** is a lightweight program that you install on your servers, containers, or clusters. It automatically gathers health data (logs, metrics, and traces) from your infrastructure and applications, and sends it to KloudMate so you can monitor your entire system. +The **KloudMate Agent** is a single program that you install on your servers, containers, or clusters. It follows an "install once, instrument everything" model: as soon as it is running, it discovers what you run, starts collecting host metrics and logs, and turns on kernel-level observability. From there, you opt in to deeper application tracing one service at a time, all from the KloudMate web interface. -Under the hood, it is powered by an enhanced version of the industry-standard **OpenTelemetry (OTel) Collector** . We've bundled a curated set of components optimized for simplified deployment, remote configuration, and **eBPF-powered kernel-level observability**. +Under the hood, the agent runs an enhanced build of the industry-standard **OpenTelemetry (OTel) Collector**. We bundle a curated set of components tuned for simple deployment, remote configuration, and **extended Berkeley Packet Filter (eBPF)** kernel-level observability. You never have to hand-write collector configuration to get started. -## Architecture +![Benefits of the KloudMate agent: zero-config baseline, opt-in application tracing, and one agent per host or cluster.](./images/agent-v2-benefits.svg) -The KloudMate Agent runs as a background service on your host system (like Linux or Windows), as a Docker container, or as a DaemonSet on Kubernetes. +## How the agent works -Rather than you having to manually manage complex OpenTelemetry configurations, the KloudMate Agent manages the lifecycle of the Collector for you. It maintains a secure connection to the KloudMate platform, allowing you to configure what telemetry data to collect directly from the web interface. When you make a change in the UI, the agent automatically detects the new configuration and safely restarts the underlying Collector. +The agent has two halves that work together: -Each agent is uniquely identifiable, so you can easily track its health and status from your KloudMate dashboards. +- **Control plane** (the KloudMate backend and web interface): stores what each agent should collect, generates the collector configuration, and shows you the discovered inventory and telemetry. +- **Data plane** (the agent on your host): runs the embedded OTel Collector, discovers services, applies instrumentation, and exports telemetry to KloudMate. -## Key Problems Solved +The agent periodically checks in with KloudMate to report what it found and to receive its generated configuration. When you change a setting in the web interface, the agent picks up the new configuration on its next check-in and safely restarts the underlying collector for you. You do not need Secure Shell (SSH) access or local file edits to reconfigure an agent. -- **Complex Configuration**: Eliminates the steep learning curve of OpenTelemetry Collector configuration. -- **Manual Installation**: Provides automated, one-line installation scripts for multiple environments. -- **Configuration Management**: Enables remote configuration through a web interface without needing SSH access. -- **Blind Spots in Observability**: Using eBPF, get instant visibility across all services — no SDK integration, no code changes, no application restarts required. -- **Database Visibility**: Built-in Database Activity Monitoring (DAM) captures SQL operations, latencies, and throughput directly from the kernel. +Each agent is uniquely identifiable, so you can track its health and status from your KloudMate dashboards. To go deeper, read [Architecture](concepts/architecture/) and the [Configuration model](concepts/config-model/). -### Features +## The layered instrumentation model -- **Automated Installation**: One-command deployment across Linux, Docker, Windows, and Kubernetes. -- **Remote Configuration**: Configure agents through the KloudMate web interface. -- **Lifecycle Management**: Comprehensive, automated management of the OpenTelemetry Collector. -- **Multi-Platform Support**: Native support for various deployment environments (including x86_64 and ARM64). -- **eBPF-Powered Observability**: Zero-code instrumentation for instant application, network, and database visibility. -- **Database Activity Monitoring (DAM)**: Automatic profiling of MySQL, PostgreSQL, and messaging systems like Redis and Kafka. +The agent collects telemetry in layers. The lower layers are automatic and carry no risk to your applications. The upper layers require a process restart, so you turn them on per service when you are ready. -## Supported Environments +- **L0 Discovery:** builds a live inventory of the services, runtimes, and databases running on each host or cluster, and powers the "instrument this?" prompts in the web interface. +- **L1 Host metrics and logs:** collects host metrics and system logs automatically after install. +- **L2 eBPF baseline:** turns on by default (kernel permitting) to produce Rate, Errors, and Duration (RED) metrics, a network service map, Database Activity Monitoring (DAM), and trace-context propagation, with no code changes. +- **L3 Application APM:** opt-in per service. Attaches OpenTelemetry auto-instrumentation to Java, Node.js, Python, and .NET applications for full distributed traces. +- **L4 Databases and middleware:** wires up server-side database receivers (PostgreSQL, MySQL, and more) to complement the wire-side view from eBPF. +- **L5 Legacy application traces:** brings route-level tracing to PHP 7 applications, which have no native OpenTelemetry path. -- **Linux** (Debian/Ubuntu, RHEL/CentOS) — x86\_64 and ARM64 (aarch64) -- **Docker** (Host metrics and log collection) -- **Kubernetes** (via DaemonSet and Deployment) -- **Windows** (Windows Server 2016+) +Read [The layered instrumentation model](concepts/layered-instrumentation/) for what each layer emits and how they fit together. + +## What the agent collects + +- **Host metrics and logs:** CPU, memory, disk, and network metrics plus system and application logs, with no configuration. +- **eBPF-powered observability:** zero-code visibility into application, network, and database traffic straight from the Linux kernel. +- **Database Activity Monitoring (DAM):** wire-side capture of SQL operations, latency, and throughput for engines such as MySQL, PostgreSQL, Redis, and Kafka. +- **Application performance monitoring (APM):** opt-in distributed tracing for Java, Node.js, Python, .NET, and PHP 7 services. +- **Agent self-health:** out-of-band liveness metrics and error logs so you can see the agent's own status without logging in to the host. + +## Supported platforms + +The agent runs across four deployment modes. Not every capability applies to every mode: eBPF depends on the Linux kernel, so it does not apply on Windows, where an Event Tracing for Windows (ETW) baseline provides the equivalent view. + +| Capability | Linux / VM | Windows | Kubernetes | Docker | +|---|---|---|---|---| +| Service discovery | Yes | Yes | Yes | Yes | +| Host metrics and logs | Yes | Yes | Yes | Yes | +| eBPF baseline (RED, service map, DAM) | Yes | Not applicable | Yes | Yes | +| Application APM (Java, Node.js, Python, .NET) | Yes | Yes | Yes | Rolling out | +| Application APM (PHP 7) | Yes | Not applicable | Not applicable | Rolling out | +| Database monitoring (receivers) | Yes | Yes | Yes | Yes | +| Web server monitoring (nginx, Apache) | Yes | Not applicable | Yes | Yes | +| Agent health and self-logs | Yes | Yes | Yes | Yes | + +:::note +On Linux, the eBPF baseline needs kernel 4.14 or newer, and unlocks richer capabilities on 5.8 and above. On Docker, host metrics, logs, and the eBPF baseline work today; per-container application injection is being rolled out. See [Docker platform notes](platform-notes/docker/) for the current coverage. +::: + +## Install the agent @@ -51,9 +74,18 @@ Each agent is uniquely identifiable, so you can easily track its health and stat -### Future Support +## Learn the concepts + + + + + + + + +## Future support In future releases, the agent will also support: -- Mac -- OCI (Oracle Cloud Infrastructure) +- macOS +- Oracle Cloud Infrastructure (OCI) diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index def145ac..78face27 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -2,7 +2,7 @@ title: "Configuration & Management" description: "Learn how to manage, configure, and monitor your KloudMate Agents centrally from the web interface." sidebar: - order: 2 + order: 11 --- The KloudMate Agent is designed to be managed centrally from the KloudMate web UI. This means you don't need to SSH into your servers or manually edit local YAML files to update settings—changes made in the dashboard are automatically pushed to your agents across your infrastructure. diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx new file mode 100644 index 00000000..9e1f2543 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -0,0 +1,11 @@ +--- +title: "Docker platform notes" +description: "Deep reference for the KloudMate agent in Docker mode: current infrastructure and eBPF coverage, and planned application injection." +draft: true +sidebar: + order: 3 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx new file mode 100644 index 00000000..6db25b82 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx @@ -0,0 +1,11 @@ +--- +title: "Kubernetes platform notes" +description: "Deep reference for the KloudMate agent on Kubernetes: fleet manager, collector pods, config protocol, health, and ConfigMap management." +draft: true +sidebar: + order: 1 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx new file mode 100644 index 00000000..272d67d1 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx @@ -0,0 +1,11 @@ +--- +title: "Windows platform notes" +description: "Deep reference for the KloudMate agent on Windows: discovery, the ETW receiver, injection mechanisms, and privileges." +draft: true +sidebar: + order: 2 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx new file mode 100644 index 00000000..1cacdada --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx @@ -0,0 +1,11 @@ +--- +title: "Design decisions" +description: "The architecture decisions behind the KloudMate agent, summarized in user terms: opt-in activation, config model, eBPF, PHP, and protocol." +draft: true +sidebar: + order: 3 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx new file mode 100644 index 00000000..f932ee15 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx @@ -0,0 +1,11 @@ +--- +title: "Glossary" +description: "Definitions of the key terms used across the KloudMate agent documentation, from service identity to receivers and coverages." +draft: true +sidebar: + order: 4 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx b/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx new file mode 100644 index 00000000..2f17ef87 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx @@ -0,0 +1,11 @@ +--- +title: "Metric catalogs" +description: "Reference catalogs for host metrics, eBPF RED and service-map metrics, database metrics, and the agent's own self-metrics." +draft: true +sidebar: + order: 1 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx new file mode 100644 index 00000000..5146a533 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx @@ -0,0 +1,11 @@ +--- +title: "Telemetry identity" +description: "How the KloudMate agent identifies databases across metrics and traces so signals join, and how to build dashboards on server address." +draft: true +sidebar: + order: 2 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx new file mode 100644 index 00000000..5ef5d095 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx @@ -0,0 +1,11 @@ +--- +title: "Agent health metrics" +description: "The out-of-band liveness metrics the KloudMate agent reports about itself and its embedded collector, and how to alert on them." +draft: true +sidebar: + order: 1 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx new file mode 100644 index 00000000..026436d2 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx @@ -0,0 +1,11 @@ +--- +title: "Agent self-logs" +description: "How the KloudMate agent ships its own error logs out-of-band so you can troubleshoot failures without logging in to the host." +draft: true +sidebar: + order: 3 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx new file mode 100644 index 00000000..11e652a7 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx @@ -0,0 +1,11 @@ +--- +title: "Collector self-telemetry" +description: "The opt-in in-band collector telemetry the KloudMate agent can emit, covering exporter queues, send failures, and receiver metrics." +draft: true +sidebar: + order: 2 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx new file mode 100644 index 00000000..0bd7962b --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx @@ -0,0 +1,11 @@ +--- +title: "Troubleshooting" +description: "Symptom-first troubleshooting for the KloudMate agent using self-health and self-logs, across install, metrics, traces, and databases." +draft: true +sidebar: + order: 13 +--- + +:::note +This page is being written. Content is coming soon. +::: diff --git a/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx new file mode 100644 index 00000000..b7f61a27 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx @@ -0,0 +1,11 @@ +--- +title: "Web server monitoring" +description: "How the KloudMate agent discovers and monitors nginx and Apache using their status modules, without changing the server config." +draft: true +sidebar: + order: 8 +--- + +:::note +This page is being written. Content is coming soon. +::: From cf2e26405e4be3899d58cea60c6951f1d239eaa1 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 7 Jul 2026 20:23:59 +0530 Subject: [PATCH 02/39] docs(agent): Wave 2 install + zero-config baseline - Add baseline/host-metrics-and-logs (Layer 1) with per-mode coverage (hostmetrics/journald/filelog, Windows perf counters/Event Log, kubeletstats/k8s_cluster, docker stats) and a "Zero-config baseline" group. - Rewrite ebpf-observability for the v2 default-on model: kernel matrix (4.14/5.8+BTF/5.17), capability gating, graceful degradation, overhead budget, and tuning knobs; preserve the manual-mode YAML. - Update installation pages (linux, docker, kubernetes, windows, ASG, IaC) with managed-mode notes, a post-install checklist, and mode-specific privilege/coverage pointers; no install commands changed. Sources: docs/agentv2 HLD 03, lld-ebpf-enablement, ADR-0005, lld-infra-receivers, 01-current-state, components_windows. Co-Authored-By: Claude Opus 4.8 --- .../docs/kloudmate-agent/baseline/_meta.json | 5 + .../baseline/host-metrics-and-logs.mdx | 71 ++++++++- .../kloudmate-agent/ebpf-observability.mdx | 145 +++++++++++------- .../installation/aws-asg-deployment.mdx | 6 +- .../installation/docker-agent.mdx | 6 + ...frastructure-as-code-iaac-installation.mdx | 4 + .../installation/kubernetes-agent.mdx | 9 ++ .../installation/linux-agent.mdx | 10 ++ .../installation/windows-agent.mdx | 8 + 9 files changed, 207 insertions(+), 57 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/baseline/_meta.json diff --git a/src/content/docs/docs/kloudmate-agent/baseline/_meta.json b/src/content/docs/docs/kloudmate-agent/baseline/_meta.json new file mode 100644 index 00000000..afa85804 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/baseline/_meta.json @@ -0,0 +1,5 @@ +{ + "label": "Zero-config baseline", + "order": 4, + "collapsed": true +} diff --git a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx index 1b7cefd3..920f1c68 100644 --- a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx +++ b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx @@ -1,11 +1,76 @@ --- title: "Host metrics and logs" -description: "What the KloudMate agent collects automatically after install: host metrics and system logs across Linux, Windows, Kubernetes, and Docker." -draft: true +description: "What the KloudMate agent collects automatically after install: host metrics and system logs across Linux, Windows, Kubernetes, and Docker, with no configuration." sidebar: order: 1 --- +import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Host metrics and logs are the agent's zero-config baseline. As soon as the agent is installed and checks in, it starts collecting infrastructure telemetry from the host and shipping it to KloudMate. You do not enable anything or write any configuration for this layer. In the [layered instrumentation model](../../concepts/layered-instrumentation/), this is Layer 1, and it sits directly on top of discovery (Layer 0). + +## What flows automatically + +What the agent collects depends on the deployment mode, because each platform exposes host telemetry differently. + + + + +- **Host metrics:** CPU, memory, disk, network, and process metrics, collected by the agent's `hostmetrics` receiver. +- **System logs:** the systemd journal, collected by the `journald` receiver. +- **File logs:** log files you point the agent at, collected by the `filelog` receiver. + + + + +- **Host metrics:** CPU, memory, disk, and network usage, collected from Windows performance counters. +- **Windows Event Log:** the System, Application, and Security channels. +- **Internet Information Services (IIS) metrics** and **Windows service status**, where those roles are present. + + + + +- **Per-node metrics:** CPU, memory, disk, and network for each node, collected by the `kubeletstats` receiver in the DaemonSet. +- **Pod logs:** container stdout and stderr, collected by the `filelog` receiver in the DaemonSet. +- **Cluster metrics and events:** workload, namespace, and node state plus cluster events, collected by the `k8s_cluster` receiver in the Deployment. + + + + +- **Container metrics:** CPU, memory, network, and disk usage for each running container, plus container lifecycle events. +- **Container logs:** stdout and stderr from each container. +- **Host metrics:** CPU, memory, disk, and network for the Docker host. + + + + :::note -This page is being written. Content is coming soon. +This baseline is the same infrastructure telemetry the agent has always collected. Agent v2 adds the higher layers (the eBPF baseline and opt-in application tracing) on top of it, without changing how host metrics and logs work. ::: + +## Where to view it + +The host baseline feeds the infrastructure and log views in KloudMate: + +- **Infrastructure monitoring** shows host and container metrics, availability, and trends. See [Infrastructure](../../../infrastructure/). +- **Kubernetes monitoring** shows cluster, node, namespace, pod, and workload metrics. See [Kubernetes](../../../infrastructure/kubernetes/). +- **Log Explorer** lets you search and filter logs and correlate them with metrics. See [Log Explorer](../../../logs/log-explorer/). + +## Collecting custom application logs + +By default the agent collects system logs. To add your own log files, configure the file log receiver with the paths and parsing rules you need. See [Collect file logs with KloudMate Agent](../../../logs/collect-file-logs/), which covers adding custom log paths, enabling multiline parsing, and validating logs in Log Explorer. + +## Relationship to the other layers + +Host metrics and logs are Layer 1 of the [layered model](../../concepts/layered-instrumentation/). Two nearby layers build on them: + +- **Discovery (Layer 0)** inventories what runs on the host, so you can instrument it. See [Discovery](../../concepts/discovery/). +- **The eBPF baseline (Layer 2)** adds Rate, Errors, and Duration (RED) metrics, a service map, and Database Activity Monitoring on top, with no code changes. See [eBPF observability](../../ebpf-observability/). + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index ee85db1b..e96a9713 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -1,40 +1,96 @@ --- title: "eBPF Observability" -description: "Enable KloudMate Agent eBPF features to collect APM, service dependency, network, and database telemetry without code changes." +description: "Understand and tune the KloudMate agent eBPF baseline: RED metrics, service map, and Database Activity Monitoring from the Linux kernel, with no code changes." sidebar: order: 5 --- -eBPF (Extended Berkeley Packet Filter) allows the KloudMate Agent to observe your applications directly from the Linux operating system kernel. You get deep visibility into network traffic, database queries, and application performance **without changing a single line of code or installing SDKs**. -This guide explains how to enable and configure eBPF data collection through the KloudMate web interface. +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -## Step 1: Install the KloudMate Agent +Extended Berkeley Packet Filter (eBPF) lets the KloudMate agent observe your applications directly from the Linux kernel. You get deep visibility into network traffic, database queries, and application performance **without changing a single line of code or installing SDKs**. -Before you can enable eBPF, the KloudMate Agent must be running on your host or cluster. eBPF requires a Linux environment (Kernel `5.8+` recommended). +In agent v2, eBPF is part of the automatic baseline. On a managed-mode agent it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map the moment the agent is running. This page explains what it collects, the kernel requirements, how it degrades gracefully, and how to tune it. In the [layered model](../concepts/layered-instrumentation/), this is Layer 2. -Follow the relevant installation guide if you haven't already: -- [Linux Installation Guide](../installation/linux-agent/) -- [Kubernetes Installation Guide](../installation/kubernetes-agent/) +## What eBPF collects -## Step 2: Enable eBPF via the Config Editor +When the eBPF baseline is active, the agent collects: -The KloudMate Agent is managed centrally. You **do not** need to SSH into your servers or manually edit YAML files. You enable eBPF by updating the agent's remote configuration via the KloudMate dashboard. +- **RED metrics** (Rate, Errors, and Duration) for your services, with no instrumentation. +- **Service dependencies**, used to build the visual service map, including peer-to-peer latency. +- **Database Activity Monitoring (DAM):** kernel-level capture of database queries on the wire, with no credentials. +- **Distributed context propagation:** the agent reads and injects HTTP trace context (`traceparent`), so requests stay on one trace across services. +- **Log-to-trace correlation:** trace identifiers are added to application logs so you can jump between a log line and its trace. -1. Log in to your KloudMate Platform. -2. Navigate to the **Agents** landing page. -3. Locate the Agent installed on your target Linux host or Kubernetes cluster. -4. Click **Collector Configuration** to open the remote YAML editor. +Because eBPF observes traffic in the kernel, it covers services you have not instrumented, including Go services, which the agent does not inject. When a service is also instrumented at Layer 3, the eBPF spans and the application spans share the same trace, giving you end-to-end traces where un-instrumented hops still appear. -### Base Configuration for APM +## Deployment modes and requirements -Add or verify the following configuration blocks in the web editor to enable RED metrics, distributed traces, and network telemetry. +eBPF applies on **Linux, Kubernetes, and Docker**. It does **not** apply on **Windows**, which has no eBPF equivalent; on Windows the agent provides a comparable baseline through Event Tracing for Windows (ETW) instead. See [Windows platform notes](../platform-notes/windows/). + +On Linux, eBPF needs: + +| Requirement | Detail | +|---|---| +| Kernel version | 4.14 or newer for the baseline. 5.8 or newer (with BPF Type Format, BTF) unlocks richer, lower-overhead attachment. Some features benefit from 5.17 or a backport. | +| Privileges | The `CAP_SYS_ADMIN` (or `CAP_BPF`) capability, or a privileged context. | +| Kernel debug filesystem | `debugfs` must be mounted. | + +The agent runs with the privileges it needs for eBPF by default on Linux. On Kubernetes, the collector pods run with the required host access. + +## Automatic enablement and graceful degradation + +The agent reports its host capabilities (kernel version, BTF presence, available privileges, and whether `debugfs` is mounted) to KloudMate on every check-in. KloudMate uses those capabilities to decide whether to enable eBPF: + +- **Supported host:** eBPF is included in the generated configuration and turns on automatically. +- **Kernel 4.14 to 5.8, or no BTF:** eBPF loads with reduced features, and the reason is recorded. +- **Unsupported host (kernel older than 4.14, `debugfs` not mounted, or missing privileges):** eBPF is skipped, and KloudMate shows the reason (for example, "eBPF unavailable: kernel 4.9"). The host still gets host metrics and logs. +- **Runtime load failure despite a supported host:** the agent fails soft. It never crashes the collector or affects other pipelines, reports a degraded status, and discovery falls back to scanning processes. + +## Tuning eBPF + +On a managed-mode agent you tune eBPF through its settings in the web interface. On a manual-mode agent you edit the collector YAML directly. See the [configuration model](../concepts/config-model/) for how the two modes differ. + +### Context propagation + +The `context_propagation` setting controls how far the agent carries trace context. It accepts `disabled`, `headers`, `tcp`, or `all`: + +- `headers` propagates context through HTTP headers. This is the safe default for distributed tracing across services. +- `tcp` and `all` extend propagation to non-HTTP paths and un-instrumented applications. They reach further, but validate them across proxies, load balancers, and network address translation (NAT) before relying on them. + +Use `track_request_headers` to capture request headers such as `User-Agent`. + +### Database tuning + +For high-load database environments, tune statement caching and heuristic detection under the `ebpf` block: + +```yaml +ebpf: + heuristic_sql_detect: true + mysql_prepared_statements_cache_size: 1024 + postgres_prepared_statements_cache_size: 1024 +``` + +### Overhead + +The eBPF baseline runs within a budget of roughly 50 to 100 MB of memory and 5 to 10 percent CPU. The agent automatically reduces buffer sizes and sampling on small instances, and you can dial the overhead down further with the tuning settings if you need to. + +## Enabling or tuning eBPF in manual mode + +On a manual-mode agent, you manage eBPF through the remote YAML editor. You do not need to log in to the host or edit local files. + +1. Log in to your KloudMate platform. +2. Go to the **Agents** landing page. +3. Locate the agent on your target Linux host or Kubernetes cluster. +4. Open the collector configuration editor. + +Add or verify the following blocks to collect RED metrics, distributed traces, and network telemetry: ```yaml metrics: features: - - application # Enables HTTP, gRPC, and SQL operation metrics - - application_span # Enables Trace spans for transactions - - network # Enables L3/L4 Network flow metrics + - application # HTTP, gRPC, and SQL operation metrics + - application_span # Trace spans for transactions + - network # L3/L4 network flow metrics discovery: services: @@ -49,46 +105,29 @@ network: attributes: kubernetes: - enable: true # Set to true if running inside Kubernetes + enable: true # Set to true when running inside Kubernetes ``` -5. **Save** the configuration. The agent will automatically restart and apply the new settings. - -## Step 3: Verify Your Data +Save the configuration. The agent picks up the change on its next check-in and restarts the collector for you. -Once the agent restarts with the eBPF configuration, it immediately begins observing kernel traffic. +## Verify your data -Navigate to the following views in the KloudMate dashboard to verify data collection: -- **[APM](../../apm-and-tracing/apm-views/):** Look for automatically generated Service Maps, latency, and throughput metrics. -- **[Traces](../../apm-and-tracing/):** Search for automatically generated spans representing your network traffic. -- **[Database Activity Monitoring](../../database-monitoring/database-activity-monitoring-dam/):** Look for captured database queries. - ---- +Once the agent is collecting eBPF telemetry, confirm it in these views: -## Reference: Advanced Options - -### Advanced Database Tuning - -For high-load database environments, you can add an `ebpf` block to tune statement caching and heuristic detection. - -```yaml -ebpf: - heuristic_sql_detect: true - mysql_prepared_statements_cache_size: 1024 - postgres_prepared_statements_cache_size: 1024 -``` +- **[APM](../../apm-and-tracing/apm-views/):** look for the service map, latency, and throughput. +- **[Traces](../../apm-and-tracing/):** search for the spans generated from your traffic. +- **[Database Activity Monitoring](../../database-monitoring/database-activity-monitoring-dam/):** look for captured database queries. -### What eBPF Collects +## Troubleshooting -When the configuration above is applied, the eBPF receiver automatically collects: -- **Application Performance Metrics**: RED metrics (Request rate, Error rate, and Duration/latency). -- **Traces**: Automatically generated trace spans for your network traffic flows. -- **Service Dependencies**: Information used to build visual Service Maps. -- **Network Telemetry**: Low-level L3 and L4 network flow metrics. -- **Database Activity**: Kernel-level database query signals. +- **No eBPF metrics or service map:** check the host detail page for an "eBPF unavailable" reason. The most common causes are a kernel older than 4.14, `debugfs` not mounted, or missing privileges. +- **Metrics are present but sparse:** the host may be on a kernel between 4.14 and 5.8, or without BTF, so eBPF is running with reduced features. Host metrics and logs are unaffected. +- **Confirm the agent's own view:** the agent reports whether eBPF loaded through its self-health metrics, and surfaces load errors through its self-logs. See [Agent health metrics](../self-observability/health-metrics/) and [Troubleshooting](../troubleshooting/). -## Related Docs +## Related -- [Configuration & Management](../management/) -- [APM Views](../../apm-and-tracing/apm-views/) -- [Zero-Downtime Observability (eBPF) Concepts](../../apm-and-tracing/auto-instrumentation/ebpf/) + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx index bef2a64c..b995112d 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx @@ -6,6 +6,10 @@ sidebar: --- Deploy `kmagent` across an Auto Scaling Group with zero manual per-instance work. Configure once in the Launch Template, every instance (existing + future scale-outs) gets the agent automatically. +:::note +Once an instance's agent checks in, it starts in managed mode and begins collecting host metrics, logs, and the [eBPF baseline](../../ebpf-observability/) automatically. See the [configuration model](../../concepts/config-model/) and [host metrics and logs](../../baseline/host-metrics-and-logs/). +::: + ## Prerequisites - AWS CLI configured with appropriate permissions @@ -189,7 +193,7 @@ aws ssm send-command \ - Runs on **10 instances at a time** (--max-concurrency 10) - All 50 instances done in **5 batches** - Stops if more than 5 instances fail (--max-errors 5) -- **Zero downtime** — no instance restarts required +- **Zero downtime**: no instance restarts required **Monitor progress:** diff --git a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx index 37193825..bf3d7c54 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx @@ -87,6 +87,12 @@ This guide explains how to: - Enable multiline log parsing - Validate logs in Log Explorer +## Coverage and configuration + +In Docker mode the agent collects host and container metrics, container and host logs, and, where the host kernel supports it, the [eBPF baseline](../../ebpf-observability/) (RED metrics, service map, and Database Activity Monitoring) across your containers with no code changes. Per-container application injection is being rolled out; see [Docker platform notes](../../platform-notes/docker/) for current coverage. + +New agents start in managed mode, so KloudMate generates the collector configuration for you. See the [configuration model](../../concepts/config-model/). + ## **Next Steps** - Open **Infrastructure Monitoring** to see all running containers and host metrics diff --git a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx index 4353f08d..d50ddded 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx @@ -9,6 +9,10 @@ import { Tabs, TabItem } from '@astrojs/starlight/components'; Deploy the KloudMate agent across any cloud provider or on-premises infrastructure using Infrastructure as a Code (IaaC) and automation tools. +:::note +However you provision it, each agent starts in managed mode and collects host metrics, logs, and the [eBPF baseline](../../ebpf-observability/) automatically once it checks in. See the [configuration model](../../concepts/config-model/). +::: + ## Deployment Approaches | Method | Best For | Cloud Support | diff --git a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx index 7b37c39e..a62464f1 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx @@ -223,6 +223,15 @@ annotations 3\. Restart the deployments after adding the annotations. +## Configuration and next checks + +On Kubernetes, one agent represents one cluster: a fleet-manager pod applies the configuration, and the DaemonSet and Deployment collector pods do the collecting. The Helm chart installs the cluster role-based access control (RBAC) the agent needs. See [Kubernetes platform notes](../../platform-notes/kubernetes/). + +- Node, pod, and cluster telemetry starts flowing automatically. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). +- Where nodes run a supported kernel, the [eBPF baseline](../../ebpf-observability/) turns on per node. +- Use the **Discovered Services** view to instrument workloads for APM, or enable auto-instrumentation as shown above. See [Application APM on Kubernetes](../../auto-instrumentation/kubernetes/). +- To monitor in-cluster databases, provide credentials through a Kubernetes Secret referenced by the `dbMonitoring.secretName` Helm value. See [Database monitoring on Kubernetes](../../database-monitoring/on-kubernetes/). + ## **Next Steps** - Open **Kubernetes Monitoring** to view metrics and events for your *cluster*, **nodes** , **namespaces** , **pods** , and **workloads** diff --git a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx index ef41ef33..246397e7 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx @@ -86,6 +86,16 @@ This guide explains how to: - Enable multiline log parsing - Validate logs in Log Explorer +## Configuration and next checks + +New agents start in **managed mode**, so KloudMate generates the collector configuration for you from a default profile of host metrics, logs, and the eBPF baseline. You review and change what is collected from the web interface, without editing files on the host. See the [configuration model](../../concepts/config-model/). + +After the agent is running, confirm the baseline and explore what it found: + +- Host metrics and logs start flowing automatically. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). +- On a supported Linux kernel (4.14 or newer), the [eBPF baseline](../../ebpf-observability/) turns on automatically and adds RED metrics and a service map. +- Open the **Discovered Services** list for the host to see what the agent found and instrument a service. See [Discovery](../../concepts/discovery/). + ## Next Steps - Open **Infrastructure Monitoring** to confirm your Linux hosts are visible diff --git a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx index 9a6a702b..29bdb1ef 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx @@ -84,6 +84,14 @@ This guide explains how to: - Enable multiline log parsing - Validate logs in Log Explorer +## Configuration and next checks + +The agent installs as a Windows service running as Local System, which is the privilege level it needs to read Internet Information Services (IIS) configuration and Windows Management Instrumentation (WMI). New agents start in managed mode; see the [configuration model](../../concepts/config-model/). + +- Host metrics and the Windows Event Log start flowing automatically. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). +- eBPF does not apply on Windows. The agent provides an equivalent baseline through Event Tracing for Windows (ETW). See [Windows platform notes](../../platform-notes/windows/). +- To add distributed tracing to .NET applications, see [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/). + ## **Next Steps** - Open **Infrastructure Monitoring** to see host metrics and service status From c592af14db3b7299ada691c7356c3891daaa4a75 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 7 Jul 2026 20:29:58 +0530 Subject: [PATCH 03/39] docs(agent): Wave 3 application APM (auto-instrumentation) Add the "Application APM" section (L3-L5, opt-in per service): - overview: per-service Instrument flow, status chips, restart consent + health gate, automatic crash-loop rollback, clean-trace suppression, and the autonomous "instrument everything" advanced note. - linux-systemd: systemd drop-ins and per-language env (Java/Node/Python/.NET), bundled lockstep assets, restart orchestration, non-systemd caveat. - kubernetes: OpenTelemetry Operator annotation injection, parity with Linux. - windows-dotnet: CLR profiler via registry/applicationHost.config, IIS per-pool vs 8.5 host-wide, Windows services, Java/Node/Python registry env, and the ETW HTTP.sys baseline. - php: version-gated native (8.2+) vs dd-trace (7.0-8.1), overhead, trace parity, container path. - go-ebpf: eBPF-only coverage and cross-service parent-span correlation. - sampling: global default + per-service override, parent-based sampling. Sources: docs/agentv2 HLD 04/06/07/09, ADR-0001/0002/0004, lld-vm-instrumentation, lld-control-plane-ui, lld-php-graduation, lld-windows-etwreceiver, lld-ebpf-sdk-correlation. Co-Authored-By: Claude Opus 4.8 --- .../auto-instrumentation/_meta.json | 5 + .../auto-instrumentation/go-ebpf.mdx | 34 ++++++- .../auto-instrumentation/kubernetes.mdx | 76 ++++++++++++++- .../auto-instrumentation/linux-systemd.mdx | 97 ++++++++++++++++++- .../auto-instrumentation/overview.mdx | 72 +++++++++++++- .../auto-instrumentation/php.mdx | 46 ++++++++- .../auto-instrumentation/sampling.mdx | 34 ++++++- .../auto-instrumentation/windows-dotnet.mdx | 72 +++++++++++++- 8 files changed, 407 insertions(+), 29 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/auto-instrumentation/_meta.json diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/_meta.json b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/_meta.json new file mode 100644 index 00000000..18fd0551 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/_meta.json @@ -0,0 +1,5 @@ +{ + "label": "Application APM", + "order": 6, + "collapsed": true +} diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx index 2ea3e5dd..4b526a41 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx @@ -1,11 +1,39 @@ --- title: "Go (eBPF)" -description: "How the KloudMate agent covers Go services through eBPF uprobes rather than code injection, with parent-span correlation." -draft: true +description: "Why the KloudMate agent covers Go services through eBPF uprobes instead of code injection, and how Go traces connect to instrumented neighbors." sidebar: order: 6 --- +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Go is the one runtime the agent does not inject. Go compiles to a static binary with no runtime to attach an agent to, so instead of code injection the agent covers Go services through the extended Berkeley Packet Filter (eBPF) baseline. There is no **Instrument** toggle to turn on for a Go service: it is covered automatically wherever the eBPF baseline is active. This applies on **Linux, Kubernetes, and Docker**, and not on **Windows**, which has no eBPF. + +## Rich eBPF coverage for Go + +Go gets more from eBPF than other runtimes do. The agent's eBPF tracer follows Go programs closely enough to produce distributed context across many protocols: + +- HTTP +- gRPC +- Kafka +- Redis +- SQL +- MongoDB + +The result is close to what a language SDK would produce, without changing your code or your build. + +## How Go traces connect to other services + +Because the eBPF baseline and the language agents both propagate W3C trace context (`traceparent`), a Go service joins the same distributed traces as its instrumented neighbors. When an instrumented service calls a Go service, the Go service's eBPF server span adopts the caller's trace, so you see one connected trace with a correct parent-child relationship, rather than two disjoint views. This has been validated end to end: an instrumented upstream and an eBPF-only Go downstream consistently land on a single trace. + :::note -This page is being written. Content is coming soon. +In the Discovered Services list, a Go service is marked as covered by eBPF rather than as instrumentable, and its Instrument toggle is disabled. This is expected: the eBPF baseline is already tracing it. ::: + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx index e80f0261..b7e736b2 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx @@ -1,11 +1,77 @@ --- title: "Kubernetes" -description: "How the KloudMate agent instruments Kubernetes workloads using the OpenTelemetry Operator, mirroring the per-service flow on Linux." -draft: true +description: "How the KloudMate agent instruments Kubernetes workloads with the OpenTelemetry Operator, mirroring the per-service Instrument flow on Linux." sidebar: order: 3 --- -:::note -This page is being written. Content is coming soon. -::: +import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; + +On Kubernetes, application performance monitoring (APM) follows the same per-workload opt-in model as the rest of the agent, but the injection mechanism is the OpenTelemetry (OTel) Operator rather than systemd drop-ins. When you instrument a workload, the agent adds an injection annotation, the Operator injects the matching language agent into the pods, and the pods restart with tracing enabled. For the general flow, consent, and status behavior, see the [Application APM overview](../overview/). + +## Prerequisites + +Auto-instrumentation on Kubernetes uses the OpenTelemetry Operator, which the KloudMate agent installs. Enable APM at install time, or turn it on afterward. See the [Kubernetes installation guide](../../installation/kubernetes-agent/), including the prerequisite Cert Manager and the `featuresEnabled.apm` value. + +## Enable APM + +There are two ways to instrument workloads. + +### From the dashboard + +After the agent is installed, open the APM configuration for the cluster and use the toggle to enable APM. The agent then detects your running workloads and their languages, and you instrument them from the **Discovered Services** view, the same as on other platforms. + +TODO(screenshot): the Kubernetes APM toggle and the per-workload instrument list. + +### With deployment annotations + +If a workload is not detected automatically, add the OpenTelemetry Operator annotation for its language and restart it. This is the underlying mechanism the toggle uses. + + + + +```bash +kubectl patch deployment -n -p '{"spec":{"template":{"metadata":{"annotations":{"instrumentation.opentelemetry.io/inject-java":"km-agent/km-agent-instrumentation-crd"}}}}}' +``` + + + + +```bash +kubectl patch deployment -n -p '{"spec":{"template":{"metadata":{"annotations":{"instrumentation.opentelemetry.io/inject-nodejs":"km-agent/km-agent-instrumentation-crd"}}}}}' +``` + + + + +```bash +kubectl patch deployment -n -p '{"spec":{"template":{"metadata":{"annotations":{"instrumentation.opentelemetry.io/inject-python":"km-agent/km-agent-instrumentation-crd"}}}}}' +``` + + + + +```bash +kubectl patch deployment -n -p '{"spec":{"template":{"metadata":{"annotations":{"instrumentation.opentelemetry.io/inject-dotnet":"km-agent/km-agent-instrumentation-crd"}}}}}' +``` + + + + +After adding the annotation, restart the deployment so the Operator injects the agent into new pods. + +## Parity with the Linux flow + +The mental model is identical to [Linux](../linux-systemd/): discover a workload, toggle Instrument, and traces flow, correlated with the eBPF baseline that already covers the cluster. The difference is only in the mechanism: Kubernetes uses annotation-driven injection and a rolling pod restart, while Linux uses systemd drop-ins and a service restart. + +## Monitored namespaces + +APM applies to the namespaces you monitor. You set these at install time, and leaving the list empty monitors all namespaces except the system namespaces. See the [Kubernetes installation guide](../../installation/kubernetes-agent/). + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx index 5aab9eef..37b4fe9f 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx @@ -1,11 +1,102 @@ --- title: "Linux (systemd)" -description: "How the KloudMate agent instruments Java, Node.js, Python, and .NET services on Linux using systemd drop-in files." -draft: true +description: "How the KloudMate agent instruments Java, Node.js, Python, and .NET services on Linux using per-service systemd drop-in files." sidebar: order: 2 --- +import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; + +On Linux, the agent instruments a service by attaching the matching OpenTelemetry (OTel) language agent to it and restarting it. Activation is surgical and per service: the agent writes a **systemd drop-in** for the one unit you chose, not a system-wide preload that would touch every process. This page explains the mechanism and the per-language settings. For the flow, consent, and rollback behavior, see the [Application APM overview](../overview/). + +## How injection works + +When you instrument a systemd service, the agent: + +1. Writes a drop-in file at `/etc/systemd/system/.d/` that sets the injection environment for that unit. +2. Runs `systemctl daemon-reload`. +3. With your consent, runs `systemctl restart ` so the environment applies. Injection only takes effect on start. + +Disabling instrumentation reverses this: the agent removes the drop-in, reloads, and restarts the service, leaving no trace of the change. Applying the same desired state twice is a no-op, so reconciliation is idempotent. + +A Java drop-in, for example, looks like this: + +```ini +[Service] +Environment="JAVA_TOOL_OPTIONS=-javaagent:/opt/kmagent/agents/java/opentelemetry-javaagent.jar" +Environment="OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318" +Environment="OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf" +Environment="OTEL_SERVICE_NAME=checkout" +``` + +Every runtime also receives resource attributes and the sampler setting, and exports to the agent's local collector on `http://localhost:4318`. + +## Per-language injection + +The agent sets the standard OpenTelemetry environment for each runtime. + + + + +```ini +Environment="JAVA_TOOL_OPTIONS=-javaagent:/opt/kmagent/agents/java/opentelemetry-javaagent.jar" +``` + +The Java agent instruments common frameworks, HTTP clients and servers, and database drivers automatically. + + + + +```ini +Environment="NODE_OPTIONS=--require /opt/kmagent/agents/node/otel.js" +``` + +The bundled Node.js module registers OpenTelemetry auto-instrumentation at startup. + + + + +```ini +Environment="PYTHONPATH=/opt/kmagent/agents/python" +``` + +The bundled `sitecustomize.py` selects the module set for the running interpreter version and starts auto-instrumentation. A Python version the bundle does not cover runs uninstrumented rather than failing. + + + + +```ini +Environment="CORECLR_ENABLE_PROFILING=1" +Environment="CORECLR_PROFILER={CLSID}" +Environment="CORECLR_PROFILER_PATH=/opt/kmagent/agents/dotnet/linux-x64/OpenTelemetry.AutoInstrumentation.Native.so" +Environment="OTEL_DOTNET_AUTO_HOME=/opt/kmagent/agents/dotnet" +``` + +.NET on Linux uses the CLR profiler. It is supported, though less common than .NET on Windows; see [Windows and .NET](../windows-dotnet/) for the primary .NET flow. + + + + :::note -This page is being written. Content is coming soon. +PHP is not instrumented through a systemd drop-in. It uses a `php.ini` file and a graceful reload of the PHP process manager instead. See [PHP instrumentation](../php/). Go is not injected at all; it is covered by the [eBPF baseline](../go-ebpf/). ::: + +## Bundled language agents + +The language agents (the Java agent, the .NET profiler, the Node.js module, and the Python distribution) ship inside the KloudMate agent's `.deb` and `.rpm` packages under `/opt/kmagent/agents//`. Their versions are locked to the agent package, so they upgrade when the agent does and there is no download at instrumentation time. This keeps installs air-gap friendly and gives you a single unit to test and release. + +## Restart orchestration + +The agent restarts one service at a time, only with your consent, and can wait for a health gate (the unit becomes active and, where known, its listen port accepts connections) before reporting success. If a restart fails or crash-loops, the agent rolls the change back. See the [overview](../overview/) for details. + +## Non-systemd processes + +systemd is the first-class path. Processes managed by other supervisors (such as supervisord or pm2) or run bare have no surgical injection point, so the agent treats them as best-effort and reports them as unsupported for automatic instrumentation, with guidance rather than an automatic change. + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx index b64eed75..393b8b9b 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -1,11 +1,75 @@ --- title: "Application APM overview" description: "How the KloudMate agent adds distributed tracing to your applications one service at a time, with restart consent and automatic rollback." -draft: true sidebar: order: 1 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Application performance monitoring (APM) is the opt-in depth of the agent. Where the eBPF baseline gives you Rate, Errors, and Duration (RED) metrics and a service map with no effort, application APM attaches OpenTelemetry (OTel) auto-instrumentation to a service to produce full distributed traces, with spans for your frameworks, database calls, and outbound requests. Because it requires a process restart, you enable it one service at a time. In the [layered model](../../concepts/layered-instrumentation/), this is Layers 3 to 5. + +## The per-service opt-in flow + +The flow is the same on every deployment mode, and it mirrors the Kubernetes experience you may already know: + +1. **Discover.** The agent inventories your services and lists them under **Discovered Services**. See [Discovery](../../concepts/discovery/). +2. **Toggle Instrument.** You turn on the **Instrument** toggle for a service. +3. **Consent to the restart.** Instrumentation only takes effect when the process restarts, so the agent asks before restarting. You can restart now, or leave the change pending until the next restart. +4. **Traces flow.** After the restart, the service emits application traces to the agent's local collector, correlated with its eBPF spans. + +Throughout this flow, the eBPF baseline keeps covering the service, so there is no visibility gap while you enable APM. + +## Status chips + +Each service in the list shows a status chip so you always know where it stands: + +- **Instrumented:** the drop-in or profiler is applied and the service restarted cleanly. +- **Pending restart:** the change is written but the service has not restarted yet. +- **Failed, rolled back:** the restart failed, so the agent reverted the change (see rollback below). + +TODO(screenshot): the Discovered Services list with per-service Instrument toggles and status chips. + +## Restart consent and health gating + +The agent never restarts your services silently. In this version: + +- Every restart requires **explicit, per-service confirmation**. There is no batched or automatic restart. +- The agent restarts **one service at a time**. +- It can apply an optional **health gate**: after the restart it waits for the service to become active and, where the listen port is known, to accept connections before it reports success. + +## Automatic rollback + +If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service to its previous state, then reports the status as failed and rolled back. Your service returns to how it ran before, and the eBPF baseline continues to cover it. This surgical, opt-in approach keeps the blast radius of instrumentation small: a problem with one service never affects the others. + +## Supported runtimes + +| Runtime | How the agent instruments it | +|---|---| +| Java | OpenTelemetry Java agent, attached per service | +| Node.js | OpenTelemetry Node.js instrumentation, attached per service | +| Python | OpenTelemetry Python instrumentation, attached per service | +| .NET | OpenTelemetry .NET auto-instrumentation (CLR profiler) | +| PHP | Native OpenTelemetry (PHP 8.2 and newer) or a dd-trace based tracer (PHP 7 and 8.0 to 8.1) | +| Go | Covered by the eBPF baseline, not injected | + +The language agents ship inside the KloudMate agent package, versioned together with it, so there is no separate download and installs work in air-gapped environments. + +## Clean traces without duplicates + +When you instrument a service, the agent tells the eBPF baseline to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF continues to trace the services around it. The two layers share a trace, so an instrumented service and its un-instrumented neighbors appear on one connected trace. + +## Instrument everything (advanced) + +The default and recommended model is to instrument per service. For automated rollouts, the agent also supports an autonomous mode that instruments every eligible service without per-service toggles. This is an advanced option; see [Advanced configuration](../../advanced-configuration/). + +## Per-mode guides + + + + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx index 57b2baf8..bfa832d6 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx @@ -1,11 +1,47 @@ --- title: "PHP" -description: "How the KloudMate agent adds route-level tracing to PHP applications, including PHP 7 which has no native OpenTelemetry path." -draft: true +description: "How the KloudMate agent adds route-level tracing to PHP applications, including PHP 7 which has no native OpenTelemetry path, on Linux and Docker." sidebar: order: 5 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +PHP is a special case. Zero-code OpenTelemetry (OTel) needs PHP 8, so PHP 7 has no native path, even though it is still widely run. The agent closes that gap: it picks the right tracer for the PHP version it finds, so both modern and legacy PHP applications produce route-level traces that join the same distributed traces as everything else. This applies on **Linux** (host PHP-FPM) and **Docker**. It does **not** apply on **Windows**. + +## How the agent chooses a tracer + +When you instrument a PHP service, the agent inspects the service's own PHP build (version, thread safety, and processor architecture) and selects one of two paths: + +- **Native OpenTelemetry** for PHP 8.2 and newer, when a matching OpenTelemetry PHP extension and software development kit (SDK) are available. This is the preferred, fully native path. +- **A dd-trace based tracer** for PHP 7.0 through 8.1. The agent installs the stock `dd-trace-php` Zend extension, which speaks the Datadog trace protocol, and the agent's collector converts that protocol to clean OpenTelemetry through its built-in Datadog receiver. + +If neither path is available for a build, the agent skips it and reports the reason. + +Both paths attach with **no application code changes**. The agent installs the extension through a `php.ini` file in the scan directory and gracefully reloads the PHP process manager, so requests keep being served. Because a badly loaded PHP extension is not fatal, the agent verifies that the extension actually loaded before it reports success, and rolls back if it did not. + +## Supported versions + +| PHP version | Tracer | +|---|---| +| 8.2 and newer | Native OpenTelemetry (dd-trace fallback where a native build is not available) | +| 8.0 and 8.1 | dd-trace based tracer | +| 7.0 through 7.4 | dd-trace based tracer | + +## What you get + +The PHP tracer produces route-level server spans, database spans (for example, PDO calls), and error spans. It continues W3C trace context (`traceparent`), so a PHP span shares its trace identifier with the eBPF baseline and with any upstream or downstream service. That means a PHP 7 application appears on the same connected trace as your other services, not as an isolated view. + +The overhead is small: a fixed cost of roughly 1.6 milliseconds per request, which is a low single-digit percentage on realistic requests. + +## PHP in containers + +In Docker, the agent instruments PHP containers using the dd-trace path, which automatically matches the container's PHP build. The instrumented application ships its traces to the agent through the container's host gateway. See [Docker platform notes](../../platform-notes/docker/) for the container details. + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx index c98f7f8c..f8405690 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx @@ -1,11 +1,35 @@ --- title: "Sampling" -description: "How to set a global sampling default and per-service overrides to balance trace fidelity against ingestion cost." -draft: true +description: "Set a global sampling default and per-service overrides for the KloudMate agent to balance trace fidelity against ingestion cost." sidebar: order: 7 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Sampling controls how many traces an instrumented service keeps. Capturing every request gives the highest fidelity but the highest ingestion cost, while sampling a fraction lowers cost at the expense of some detail. The agent lets you set a sensible global default and override it for individual services. Sampling applies to the opt-in application traces (Layers 3 to 5); the eBPF baseline metrics are collected separately. + +## Global default and per-service overrides + +- **Global default:** a single sampling rate applies to every service you instrument, so you set the trade-off once. +- **Per-service override:** you can raise or lower the rate for a specific service, for example keeping every trace on a low-traffic, high-value service while sampling a noisy one more aggressively. + +The agent applies the rate to each instrumented service through the standard OpenTelemetry (OTel) sampler settings, so the behavior matches what the language agents document. + +## Parent-based sampling keeps traces whole + +The agent uses parent-based ratio sampling. When a service continues a trace that an upstream service already started, it respects the upstream sampling decision instead of making its own. This keeps a sampled trace intact end to end: you do not get traces that are captured on one hop and dropped on the next. + +## Choosing a rate + +- Start with a moderate default and adjust based on your traffic volume and ingestion budget. +- Increase the rate on services where you need complete traces for debugging or service-level objectives. +- Decrease the rate on very high-volume services where a representative sample is enough. + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx index 7bb322f7..1f5936a1 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx @@ -1,11 +1,75 @@ --- title: "Windows and .NET" -description: "How the KloudMate agent instruments .NET applications on Windows using the CLR profiler, plus Java, Node.js, and Python via registry env." -draft: true +description: "How the KloudMate agent instruments .NET on IIS and Windows services with the CLR profiler, plus Java, Node.js, and Python via per-service registry environment." sidebar: order: 4 --- -:::note -This page is being written. Content is coming soon. +import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Windows has no `LD_PRELOAD` and no production eBPF, but its dominant workload, .NET, has a mature zero-code tracing path through the Common Language Runtime (CLR) profiler. The agent uses that path for .NET, uses per-service environment for Java, Node.js, and Python, and provides a universal baseline through Event Tracing for Windows (ETW). The opt-in flow, consent, and rollback are the same as on [Linux](../overview/). + +## .NET applications + +For .NET, the agent uses the OpenTelemetry .NET auto-instrumentation CLR profiler. It sets the profiler environment (`CORECLR_ENABLE_PROFILING=1` for .NET Core and modern .NET, `COR_ENABLE_PROFILING=1` for .NET Framework, plus the profiler identifier and path) and then recycles the workload. The agent writes these entries directly to the Windows registry or to the Internet Information Services (IIS) `applicationHost.config`, so it does not depend on PowerShell or an interactive administrator. + +### Supported runtimes + +Coverage is keyed on the **installed CLR runtime**, not the framework your application targets, so most older applications are covered as long as they run on a supported runtime: + +| Installed runtime | Result | +|---|---| +| .NET Framework 4.6.2 and newer (CLR 4.x) | Full application traces through the CLR profiler | +| .NET Core and modern .NET | Full application traces through the CLR profiler | +| .NET Framework 3.5 (CLR 2.0) | No profiler; covered by the ETW baseline below | + +An application built for .NET 4.0 or 4.5 but running on a 4.6.2 or newer runtime is instrumented, because the profiler keys on the runtime. + +### IIS and Windows services + + + + +Instrumentation is **per application pool**. The agent writes the profiler environment into that pool's `` in `applicationHost.config`, then recycles the pool. Other pools are unaffected. + + + + +IIS 8.5 has no per-pool environment, so the agent writes to the global registry. The change is host-wide and affects all application pools rather than a single one. + + + + +For a .NET Windows service, the agent writes the profiler environment to the service's registry environment at `HKLM\SYSTEM\CurrentControlSet\Services\\Environment`, then restarts the service. + + + + +:::caution +An ASP.NET Core application pool must be set to "No Managed Code" for the profiler to attach, and applying instrumentation requires an IIS recycle. ::: + +## Java, Node.js, and Python on Windows + +These runtimes use the same language agents as Linux, injected through the per-service registry environment at `HKLM\SYSTEM\CurrentControlSet\Services\\Environment` (the Windows analog of a systemd drop-in). The agent sets the standard variable for the runtime (`JAVA_TOOL_OPTIONS`, `NODE_OPTIONS`, or `PYTHONPATH`) and restarts the service to apply it. + +## The ETW baseline + +Because Windows has no eBPF, the agent provides a universal, zero-code baseline through a custom ETW receiver. It taps the HTTP.sys provider to emit: + +- **Server spans** for every request, at the request-path level. +- **RED metrics** (Rate, Errors, and Duration) keyed by application pool. + +This works for any IIS traffic without injection, including workloads that cannot use the profiler, such as .NET Framework 3.5 (CLR 2.0) pools and non-.NET applications hosted on IIS. The ETW receiver reads events only; it needs no credentials and makes no changes to your applications. It runs under the Local System account that the agent uses. When a pool is also instrumented with the profiler, the agent suppresses ETW span synthesis for that pool (keeping its RED metrics) so you do not get duplicate spans. + +## Discovery on Windows + +To build the Discovered Services list, the agent enumerates the Service Control Manager, IIS sites and application pools, and listening ports through Windows Management Instrumentation (WMI). Services appear with a kind of `iis` or `windows_service`. See [Discovery](../../concepts/discovery/) and [Windows platform notes](../../platform-notes/windows/). + +## Next steps + + + + + + From 646a02745eca267cce8c9e9000b8ac45e80e24fc Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 7 Jul 2026 20:35:41 +0530 Subject: [PATCH 04/39] docs(agent): Wave 4 database and web-server monitoring MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add the "Database monitoring" section plus web-server monitoring: - overview: eBPF wire-side DAM vs server-side receivers, the profile/coverage concept, the discovery-led wizard, and DryRun-gated safety. - engines-and-coverages: the actual engines and coverages from internal/dbmonitor/profiles (Postgres/MySQL/SQL Server/Oracle/Mongo/Redis/ Elasticsearch/ClickHouse/SAP HANA/Snowflake), connection- vs file-based coverages, and the km.db.coverage log tag. - on-vm: endpoint canonicalization and file-based coverages. - on-kubernetes: singleton Deployment collector, Service-DNS discovery prefill, managed-mode requirement, the KM_SECRET_/dbMonitoring.secretName Secret path, and the Postgres worked example (live-validated §11). - credentials: env-ref (default), plaintext inline, operator-managed, rotation. - web-server-monitoring: nginx/apache status-module probing, read-only guarantee. Sources: docs/agentv2 lld-db-monitoring, lld-db-monitoring-k8s, lld-web-server-monitoring, and internal/dbmonitor/profiles. Co-Authored-By: Claude Opus 4.8 --- .../database-monitoring/_meta.json | 5 ++ .../database-monitoring/credentials.mdx | 47 ++++++++++- .../engines-and-coverages.mdx | 66 +++++++++++++-- .../database-monitoring/on-kubernetes.mdx | 83 ++++++++++++++++++- .../database-monitoring/on-vm.mdx | 44 ++++++++-- .../database-monitoring/overview.mdx | 45 +++++++++- .../kloudmate-agent/web-server-monitoring.mdx | 46 ++++++++-- 7 files changed, 310 insertions(+), 26 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/database-monitoring/_meta.json diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/_meta.json b/src/content/docs/docs/kloudmate-agent/database-monitoring/_meta.json new file mode 100644 index 00000000..f1a1a068 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/_meta.json @@ -0,0 +1,5 @@ +{ + "label": "Database monitoring", + "order": 7, + "collapsed": true +} diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx index cca24d91..f07e227f 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx @@ -1,11 +1,52 @@ --- title: "Database credentials" -description: "The three credential modes for database monitoring: environment reference, plaintext inline, and operator-managed secrets." -draft: true +description: "The three credential modes for KloudMate agent database monitoring: environment reference, plaintext inline, and operator-managed secrets, and how to rotate them." sidebar: order: 5 --- +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Server-side database monitoring needs a monitoring user's credentials to connect to the engine. The agent supports three ways to provide them, so you can keep secrets out of your configuration. The wire-side eBPF view needs no credentials at all. For the general flow, see the [Database monitoring overview](../overview/). + +## The three credential modes + +### Environment reference (default) + +The credential is stored as a reference, not a value. The generated configuration contains a placeholder such as `${env:KM_SECRET_}`, and the agent resolves it from an environment variable at runtime. The plaintext value never lands in the configuration, the pushed configuration, or the collector's config file. This is the default and the recommended mode. + +The agent also handles escaping for you, so a password with special characters works in a connection string without you having to encode it. + +### Plaintext inline + +You can enter the value directly, in which case it is written into the generated configuration. The interface shows a clear "stored unencrypted" warning, because the value then lives in the configuration and on disk. Use this only when you accept that trade-off. + +### Operator-managed + +The credential is still an environment reference, but you supply the environment variable yourself rather than through the wizard. This suits secrets that come from an external secret manager. How you supply the variable depends on the platform: + +- **On a virtual machine:** set `KM_SECRET_` for the agent, for example through the systemd `EnvironmentFile`. +- **On Kubernetes:** put `KM_SECRET_` in a Kubernetes Secret and point the Helm release at it with the `dbMonitoring.secretName` value. See [Database monitoring on Kubernetes](../on-kubernetes/). + +## Why environment reference is the default + +Keeping the secret out of the configuration has two benefits: + +- **The value stays local.** It never travels to KloudMate or into stored configuration, so your database password is not exposed through the control plane. +- **Rotation is easy.** Because the configuration holds only a reference, you rotate a password by updating the environment variable or Secret, without changing the agent's configuration. + :::note -This page is being written. Content is coming soon. +On Kubernetes, the collector reads the Secret when its pod starts, so a rotated password takes effect on the next pod restart. See the ordering note in [Database monitoring on Kubernetes](../on-kubernetes/). ::: + +## Grants + +Whichever mode you use, the monitoring user needs read access to the engine's statistics and, for some coverages, specific grants (for example, `GRANT pg_monitor` on PostgreSQL). The wizard shows the exact setup steps for the coverages you selected. See [Engines and coverages](../engines-and-coverages/). + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx index 28cc21f3..aa03975a 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx @@ -1,11 +1,67 @@ --- title: "Engines and coverages" -description: "The database engines the KloudMate agent monitors and the metric and log coverages available for each." -draft: true +description: "The database engines the KloudMate agent monitors and the metric and log coverages available for each, including connection-based and file-based coverages." sidebar: order: 2 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +The agent monitors databases through bundled **profiles**. Each profile provides one **coverage** for one engine, and you combine coverages to get the depth you want. This page lists the engines and the coverages available for each. + +## Coverage types + +Coverages fall into a few types, depending on what they collect and how: + +- **Standard metrics:** the engine's native health and capacity metrics (connections, cache hit ratio, replication lag, buffers, table and index statistics). Collected by the engine's native receiver. A `basic` level uses the receiver defaults; a `full` level turns on every additional metric. +- **Query performance and top queries:** aggregated statistics for the most expensive queries across all clients, read from the engine's own views (for example, `pg_stat_statements` on PostgreSQL, dynamic management views on SQL Server, and `v$` views on Oracle). +- **Locks:** lock and blocking information. +- **Query logs:** rows from diagnostic views emitted as log records. +- **Server logs, stderr logs, and slow logs:** the database's own log files. + +## Connection-based and file-based coverages + +There are two ways a coverage collects data, and the difference matters on Kubernetes: + +- **Connection-based coverages** connect to the database (standard metrics, query performance, locks, and query logs). They need credentials but no access to the host. +- **File-based coverages** read the database's log files on the host (server logs, stderr logs, and slow logs). They need no database connection but do need access to the log files. + +File-based coverages require the agent to run where the log files are, so they are available on a virtual machine but hidden on Kubernetes, where the collector scrapes databases remotely and cannot read another pod's files. See [Database monitoring on Kubernetes](../on-kubernetes/). + +## Engine and coverage matrix + +| Engine | Standard metrics | Query performance / top queries | Locks | Query logs | Log files | +|---|---|---|---|---|---| +| PostgreSQL | Yes | Yes | Yes | No | Server logs, stderr logs | +| MySQL | Yes | Yes | No | No | Slow log | +| SQL Server (Microsoft SQL Server) | Yes | Yes | No | Yes | No | +| Oracle | Yes | Yes | No | Yes | No | +| MongoDB | Yes | No | No | No | No | +| MongoDB Atlas | Yes | No | No | No | No | +| Redis | Yes | No | No | No | No | +| Elasticsearch | Yes | No | No | No | No | +| ClickHouse | Yes | No | No | No | No | +| SAP HANA | Yes | No | No | No | No | +| Snowflake | Yes | Yes | No | No | No | + +## Setup steps per coverage + +Some coverages need a one-time setup step on the database, which the wizard shows you when you select the coverage. For example: + +- PostgreSQL query performance needs the `pg_stat_statements` extension, which requires adding it to `shared_preload_libraries` and creating the extension. This step needs a PostgreSQL restart. +- Query and query-log coverages need the monitoring user to have the right grants (for example, `GRANT pg_monitor` on PostgreSQL, or the equivalent view permissions on SQL Server and Oracle). +- File-based log coverages may need a log setting enabled on the database (for example, MySQL's slow query log). + +If a prerequisite is missing, the coverage reports it rather than failing silently, and the rest of the coverages keep working. + +## Filtering database logs by coverage + +All database log records the agent produces are tagged with a `km.db.coverage` attribute set to the coverage name (for example, `query-performance`, `server-logs`, `stderr-logs`, `slow-log`, or `query-log`). You can filter database logs by this attribute in Log Explorer to focus on one kind of coverage. + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx index 8f7b5ad3..fcb51a4f 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx @@ -1,11 +1,86 @@ --- title: "Database monitoring on Kubernetes" -description: "How the KloudMate agent monitors in-cluster databases from the cluster collector, using a Kubernetes Secret for credentials." -draft: true +description: "How the KloudMate agent monitors in-cluster databases from the cluster collector, using a Kubernetes Secret for credentials and managed mode." sidebar: order: 4 --- -:::note -This page is being written. Content is coming soon. +import { Steps, LinkCard, CardGrid } from '@astrojs/starlight/components'; + +On Kubernetes, the agent monitors the databases running in your cluster from the cluster collector. The flow is the same as on a virtual machine, with a few Kubernetes specifics: where the scraping runs, how credentials are supplied through a Kubernetes Secret, and that database monitoring requires managed mode. For the general model, see the [Database monitoring overview](../overview/). + +## Where scraping runs + +Database scraping runs in the cluster **Deployment** collector, which runs a single replica, so each database is scraped once rather than once per node. This is also where your applications' database spans arrive, so the server-side metrics and the query spans join in the same place. + +## Discovery prefills the endpoint + +The agent discovers in-cluster databases by their Services and well-known ports, and corroborates the engine from the backing image. Discovery gives the exact Service DNS endpoint, `..svc.cluster.local:`, and the wizard prefills it. This matters on Kubernetes: your applications connect to the database by that Service DNS name, so using the same endpoint is what makes the server-side metrics and the application spans join. Databases outside the cluster are not discovered and are added manually. + +## Managed mode is required + +Database monitoring folds into the generated configuration, so it needs the agent in **managed mode**. On Kubernetes, database monitoring is a "Configure databases" action on the agent, and it prompts you to switch to managed mode if the agent is still in manual mode. See the [configuration model](../../concepts/config-model/). + +## Connection coverages only + +On Kubernetes, the connection-based coverages are available (standard metrics, query performance, locks, and query logs). The file-based log coverages (server logs, stderr logs, and slow logs) are hidden, because the cluster collector scrapes databases remotely and cannot read another pod's log files. See [Engines and coverages](../engines-and-coverages/). + +## Provide credentials with a Kubernetes Secret + +Credentials use an environment reference backed by a Kubernetes Secret that you manage. Set it up before you configure any database, because the collector reads the Secret when its pod starts. + + +1. **Create a Kubernetes Secret** with a key of the form `KM_SECRET_` for each database credential. For example, a key `KM_SECRET_postgresql` holding the monitoring user's password. + + ```bash + kubectl create secret generic km-db-creds \ + --namespace km-agent \ + --from-literal=KM_SECRET_postgresql='' + ``` + +2. **Point the Helm release at the Secret** with the `dbMonitoring.secretName` value, and upgrade the release. The cluster collector then reads the Secret through `envFrom`. + + ```bash + helm upgrade kloudmate-release kloudmate/km-kube-agent \ + --namespace km-agent --reuse-values \ + --set dbMonitoring.secretName=km-db-creds + ``` + +3. **Configure the database** in the wizard, referencing the key by name. The password value stays in the cluster: it never reaches KloudMate, the pushed configuration, or the ConfigMap. + + +:::caution +Because the collector reads the Secret at pod startup, create the Secret and run the Helm upgrade before you configure a database. If you rotate a password without changing the configuration, the collector keeps the old value until its pod restarts. ::: + +## Worked example: PostgreSQL + + +1. **Create a monitoring role** in PostgreSQL and grant it the built-in monitoring role: + + ```sql + CREATE ROLE kmmonitor LOGIN PASSWORD ''; + GRANT pg_monitor TO kmmonitor; + ``` + +2. **Store the password** in a Kubernetes Secret under `KM_SECRET_postgresql` and set `dbMonitoring.secretName`, as above. + +3. **Configure PostgreSQL** in the wizard with the Service DNS endpoint (prefilled from discovery), the `kmmonitor` user, and an environment reference to the secret. Choose the coverages you want, such as standard metrics, locks, and query performance. + +4. **Enable query performance prerequisites, if used.** Query performance reads `pg_stat_statements`. Add it to `shared_preload_libraries` and create the extension, which needs a PostgreSQL restart: + + ```sql + -- postgresql.conf: shared_preload_libraries = 'pg_stat_statements' (then restart) + CREATE EXTENSION pg_stat_statements; + ``` + + +After you apply the configuration, the cluster collector compiles and starts scraping PostgreSQL, and its metrics carry the same database identity as the application spans that hit it. + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx index 35e8ad45..421dab9c 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx @@ -1,11 +1,45 @@ --- title: "Database monitoring on a VM" -description: "How database monitoring works on a Linux or Windows virtual machine, including endpoint canonicalization." -draft: true +description: "How the KloudMate agent monitors databases on a Linux or Windows host, including endpoint canonicalization and file-based log coverages." sidebar: order: 3 --- -:::note -This page is being written. Content is coming soon. -::: +import { Steps, LinkCard, CardGrid } from '@astrojs/starlight/components'; + +On a virtual machine, the agent monitors databases running on the host or reachable from it. Because the agent runs on the same host, it can collect both connection-based coverages and file-based log coverages. For the general flow, see the [Database monitoring overview](../overview/). + +## What you can monitor + +- **Databases on the host:** a database listening on the host is discovered and prefilled in the wizard. +- **Reachable remote databases:** you can also monitor a database on another host by entering its endpoint and credentials in the wizard. + +Both connection-based and file-based coverages are available on a virtual machine, because the agent can reach the database's log files as well as its network endpoint. See [Engines and coverages](../engines-and-coverages/). + +## Endpoint canonicalization + +A database on the host often listens on a loopback address such as `localhost` or `127.0.0.1`, but loopback addresses are not unique across your fleet. To make database telemetry join correctly across signals, the agent stamps a **canonical, routable address** on the database's metrics: it resolves a loopback endpoint to the host's routable, non-loopback address. + +This matters because your applications, the eBPF baseline, and the database receivers can each report the same database under a different address (a socket path, `localhost`, or the host's IP). The agent normalizes them to the canonical address so the server-side metrics line up with the query spans that hit that database. See [Telemetry identity](../../reference/telemetry-identity/) for how to build dashboards on the database's server address. + +## Set up monitoring + + +1. **Open the wizard** from a discovered database, or add one manually with its endpoint. + +2. **Choose coverages** for the depth you want. See [Engines and coverages](../engines-and-coverages/). + +3. **Provide credentials** for the monitoring user, using an environment reference by default. See [Database credentials](../credentials/). + +4. **Apply the setup steps** the wizard shows, such as creating the monitoring role and granting it the right permissions. + +5. **Save.** The agent compiles the configuration, validates it, and starts collecting. + + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx index af38d123..46b296b6 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx @@ -1,11 +1,48 @@ --- title: "Database monitoring overview" description: "How the KloudMate agent monitors databases with server-side receivers and eBPF wire-side spans, driven by a discovery-led wizard." -draft: true sidebar: order: 1 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Database monitoring gives you a complete picture of your databases from two complementary angles, and it wires the collection up for you through a wizard instead of hand-written configuration. In the [layered model](../../concepts/layered-instrumentation/), this is Layer 4, and it works alongside the eBPF baseline at Layer 2. + +## Two complementary views + +The agent sees your databases in two ways that compose rather than overlap: + +- **Wire-side, from eBPF (automatic, no credentials):** Database Activity Monitoring (DAM) parses database queries off the network and emits per-query client spans (query, operation, and latency) for the queries your applications issue. These spans are stitched into your distributed traces and the application-to-database edge on the service map. This is the **application-to-database activity view**, and it is on by default. See [eBPF observability](../../ebpf-observability/). +- **Server-side, from receivers (opt-in, credentials required):** database receivers connect to the engine and read what eBPF structurally cannot see: server health and capacity (connections, cache hit ratio, replication lag, buffers, and table and index statistics), server-side internals (top queries, locks and blocking, deadlocks), and database logs. This is the **database server view**. + +The two views join on a shared database identity, so a slow query span from eBPF lines up with the server's locks, cache, and replication metrics for the same database instance. See [Telemetry identity](../../reference/telemetry-identity/). + +## Profiles and coverages + +The server-side view is organized into **coverages**. A coverage is a unit of collection for one engine, such as standard metrics, query performance, locks, or query logs. Under the hood, each coverage is a bundled **profile** that the agent compiles into the right receiver configuration (a native database receiver, a SQL query receiver, or a log file receiver). You choose coverages; the agent assembles the configuration. See [Engines and coverages](../engines-and-coverages/). + +## The discovery-led wizard + +You set up monitoring for a database through a wizard, usually starting from a database the agent already discovered: + +1. **Pick the engine.** The agent lists discovered databases, so the engine and endpoint are often prefilled. +2. **Choose coverages.** Toggle the coverage areas you want, such as standard metrics, query performance, or locks. +3. **Provide credentials.** Enter the monitoring user and its secret, defaulting to an environment reference so the secret never leaves the host. See [Database credentials](../credentials/). +4. **Follow the setup steps.** The wizard shows the exact grants and prerequisites each coverage needs (for example, `GRANT pg_monitor` or creating an extension), ready to copy. +5. **Review and apply.** The wizard previews the generated configuration, and on save the agent compiles and applies it. + +TODO(screenshot): the database monitoring wizard showing engine selection, coverage toggles, and the credential mode. + +## Safe by construction + +The agent validates the compiled configuration before it applies it, so a bad database setting never crashes the collector or stops your other telemetry. Each database is isolated, so one misconfigured instance does not affect the others. + +## Where to run it + + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx index b7f61a27..44c5efba 100644 --- a/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx +++ b/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx @@ -1,11 +1,47 @@ --- title: "Web server monitoring" -description: "How the KloudMate agent discovers and monitors nginx and Apache using their status modules, without changing the server config." -draft: true +description: "How the KloudMate agent discovers and monitors nginx and Apache using their status modules, probing without ever changing the server config." sidebar: order: 8 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +The agent monitors nginx and Apache web servers by reading their built-in status modules, in the same discovery-led, auto-wired style as [database monitoring](../database-monitoring/overview/). It applies to nginx and Apache on Linux hosts. It does **not** apply on **Windows**, where Internet Information Services (IIS) is covered by the Event Tracing for Windows (ETW) baseline instead. See [Windows and .NET application APM](../auto-instrumentation/windows-dotnet/). + +## What it collects + +For a monitored web server, the agent collects server metrics such as request rate, active connections, worker or connection state, response codes, and upstream errors. This complements the eBPF baseline, which already shows request paths and latency from the traffic itself. + +## How it works + +The agent discovers nginx and Apache processes and their listen ports. To collect metrics, each server exposes a status endpoint: + +- **nginx** exposes `stub_status`, typically at a path such as `/status`. +- **Apache** exposes `mod_status`, typically at `/server-status?auto`, with `ExtendedStatus` turned on. + +You enable monitoring for a discovered server, and the agent wires up the matching receiver to read that status endpoint. + +## Read-only probing + +The status modules are usually off by default, and enabling them is a change to your web server's configuration. The agent **never edits your web server configuration**: doing so could take a site down. Instead, it probes the status endpoint and reports what it finds: + +- If the endpoint responds and looks like a status page, the agent wires the receiver and starts collecting. +- If the status module is off or the endpoint is not reachable, the agent reports the server as needing setup and gives you the exact snippet to enable the status module. It does not wire a broken receiver that would flood scrape errors. + +This makes web server monitoring safe to turn on: the worst case is a "needs setup" prompt, never a changed or broken server. + +## Prerequisites + +- **nginx:** the `stub_status` module enabled in a `location` block, reachable on the host. +- **Apache:** the `mod_status` module enabled with `ExtendedStatus On`, reachable on the host. + +Restrict the status endpoint to the loopback interface so only the local agent can read it. + +## Next steps + + + + + + From c45874b4999cc2d80312ad08139310334aed5ddf Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 7 Jul 2026 20:40:18 +0530 Subject: [PATCH 05/39] docs(agent): Wave 5 self-observability, platform notes, management - self-observability: Tier 1 out-of-band kmagent.* health metrics (catalog, collector.up reasons, dead-man's-switch), Tier 2 opt-in otelcol_* self- telemetry, and out-of-band ERROR self-logs. - platform-notes: Kubernetes (fleet manager + DaemonSet/Deployment, unified protocol, real per-node collector status, self-logs, ConfigMap ownership), Windows (IIS/SCM/WMI discovery, ETW baseline, injection, Local System), Docker (infra + eBPF today, in-place PHP, inject-spec + planned OCI-hook, deployment posture). - management: refresh for managed vs manual mode, config history/rollback, agent health/self-logs status, and agent updates. Sources: docs/agentv2 lld-agent-health, ADR-0006, hld/08-docker-on-vm, lld-container-instrumentation, hld/09, roadmap Phase 7. Co-Authored-By: Claude Opus 4.8 --- .../docs/docs/kloudmate-agent/management.mdx | 34 ++++++++++- .../kloudmate-agent/platform-notes/_meta.json | 5 ++ .../kloudmate-agent/platform-notes/docker.mdx | 48 +++++++++++++-- .../platform-notes/kubernetes.mdx | 56 ++++++++++++++++-- .../platform-notes/windows.mdx | 54 +++++++++++++++-- .../self-observability/_meta.json | 5 ++ .../self-observability/health-metrics.mdx | 59 +++++++++++++++++-- .../self-observability/self-logs.mdx | 37 ++++++++++-- .../self-observability/self-telemetry.mdx | 38 ++++++++++-- 9 files changed, 307 insertions(+), 29 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/platform-notes/_meta.json create mode 100644 src/content/docs/docs/kloudmate-agent/self-observability/_meta.json diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index 78face27..9ae2c999 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -5,7 +5,7 @@ sidebar: order: 11 --- -The KloudMate Agent is designed to be managed centrally from the KloudMate web UI. This means you don't need to SSH into your servers or manually edit local YAML files to update settings—changes made in the dashboard are automatically pushed to your agents across your infrastructure. +The KloudMate Agent is designed to be managed centrally from the KloudMate web UI. This means you don't need to SSH into your servers or manually edit local YAML files to update settings. Changes made in the dashboard are automatically pushed to your agents across your infrastructure. ## Agents Overview @@ -53,8 +53,25 @@ From the KloudMate platform, you can update the collector configuration associat - **Restart Collector:** Restart the collector service when needed. - **Delete:** Removes the agent from the list on the KloudMate Agent landing page. To completely remove the agent, you must also uninstall it from the source environment. +### Managed and manual mode + +Each agent runs in one of two configuration modes: + +- **Managed mode** (the default for new agents): KloudMate generates the collector configuration from the features and integrations you toggle, and the YAML editor shows a read-only preview. This is the recommended way to configure an agent. +- **Manual mode:** you own the raw YAML, and the feature toggles are disabled. This is the advanced escape hatch for hand-tuned setups. + +You can switch an agent between modes. Switching from manual to managed replaces the hand-edited YAML with generated configuration, so review the change first. For the full model, see the [configuration model](../concepts/config-model/). + +### Configuration history and rollback + +KloudMate keeps the recent generated configurations for each agent. If a change causes a problem, you can review the history and roll back to an earlier configuration. + ### Common Configurations +:::note +The snippets below are for manual mode. In managed mode you set these through the feature and integration toggles instead. See [eBPF observability](../ebpf-observability/) and [Database monitoring](../database-monitoring/overview/). +::: + #### Feature Flags You can control which telemetry signals the agent collects by updating the feature flags in the configuration: @@ -104,8 +121,21 @@ ebpf: postgres_prepared_statements_cache_size: 1024 ``` +## Agent health and status + +Beyond the status shown on the landing page, each agent reports on its own health so you can confirm it is running and see when something goes wrong: + +- **Health metrics** tell you whether the agent and its collector are up, and classify why the collector is down if it is. See [Agent health metrics](../self-observability/health-metrics/). +- **Self-logs** bring the agent's own error messages into KloudMate, so you can diagnose a failure without logging in to the host. See [Agent self-logs](../self-observability/self-logs/). + +After a configuration change, confirm it applied by checking that telemetry is still flowing and that the agent's health metrics report a clean apply. + +## Updating the agent + +Update the agent by upgrading its package on the host or the Helm release on Kubernetes, the same way you installed it. The bundled instrumentation agents are versioned with the KloudMate agent, so they update together. See the [installation guides](../installation/linux-agent/). + ## Best Practices -- Use filters and search on the Agents landing page to quickly locate agents by **host** , **platform** , or **status**. +- Use filters and search on the Agents landing page to quickly locate agents by **host**, **platform**, or **status**. - For clusters with multiple agents, consider **bulk restarting** or **updating collectors** where supported. - Always confirm that agent configurations have applied successfully by checking your dashboards. diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/_meta.json b/src/content/docs/docs/kloudmate-agent/platform-notes/_meta.json new file mode 100644 index 00000000..d44f0220 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/_meta.json @@ -0,0 +1,5 @@ +{ + "label": "Platform notes", + "order": 10, + "collapsed": true +} diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx index 9e1f2543..9e15a157 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -1,11 +1,49 @@ --- title: "Docker platform notes" -description: "Deep reference for the KloudMate agent in Docker mode: current infrastructure and eBPF coverage, and planned application injection." -draft: true +description: "Deep reference for the KloudMate agent in Docker mode: current infrastructure and eBPF coverage across containers, and how application injection works." sidebar: order: 3 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +This page is the deep reference for how the agent runs in Docker mode. For installation, see the [Docker installation guide](../../installation/docker-agent/). + +## What works today, with no injection + +Running in Docker mode, the agent already gives your containers full golden-signal coverage without touching them: + +- **Infrastructure, metrics, and logs:** host and container metrics and container logs, from the containerized collector. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). +- **eBPF baseline:** because the extended Berkeley Packet Filter (eBPF) runs in the host kernel, which containers share, it sees container processes and traffic transparently. You get Rate, Errors, and Duration (RED) metrics, the service map, and Database Activity Monitoring across your containers with no code changes and no injection. See [eBPF observability](../../ebpf-observability/). + +So containerized applications get broad coverage as soon as the agent is running. + +## Application-level tracing in containers + +Full application traces (Layer 3) need the language agent's startup environment inside the container, and host mechanisms such as systemd drop-ins do not cross the container boundary. How the agent handles this depends on the runtime: + +- **PHP** containers can be instrumented in place: the agent installs the tracer inside the running container and reloads the process manager, with no redeploy. See [PHP instrumentation](../../auto-instrumentation/php/). +- **Java, Node.js, Python, and .NET** read their instrumentation from environment variables set at process start, and you cannot change a running container's startup environment without recreating it. The agent does not recreate your running containers. Instead, it computes the exact environment and read-only mounts to instrument the container and surfaces them for you to apply at your **next deploy** (for example, as a Compose override). eBPF continues to cover these containers in the meantime. + +Automatic per-image injection through a container startup hook, so an opted-in image is instrumented on its next start without a manual snippet, is planned. It targets **images** rather than individual containers, so a selection is stable across container churn. + +## Deployment posture + +To configure container-level injection the agent needs host access: + +- Run the agent **on the host** with Docker socket and daemon access, or +- Run it as a **privileged container with host mounts**. + +The eBPF baseline likewise needs host kernel access. A plain, non-privileged agent container cannot reach the host runtime. + +## PHP 7 in containers + +A tracer built on the host must match the container's exact PHP build, so PHP 7 in a container is the hardest case. The reliable path is to add the tracer at image build time. See [PHP instrumentation](../../auto-instrumentation/php/). + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx index 6db25b82..4263bfe8 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx @@ -1,11 +1,59 @@ --- title: "Kubernetes platform notes" -description: "Deep reference for the KloudMate agent on Kubernetes: fleet manager, collector pods, config protocol, health, and ConfigMap management." -draft: true +description: "Deep reference for the KloudMate agent on Kubernetes: the fleet manager, collector pods, config-check protocol, per-node health, and ConfigMap management." sidebar: order: 1 --- -:::note -This page is being written. Content is coming soon. +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +This page is the deep reference for how the agent runs on Kubernetes. For installation, see the [Kubernetes installation guide](../../installation/kubernetes-agent/); for the shared model, see [Architecture](../../concepts/architecture/). + +## One agent per cluster, two planes + +On Kubernetes the agent keeps its own control-plane and data-plane split: + +- **Fleet manager (control plane):** a single pod that checks in with KloudMate, applies the generated configuration to the cluster, and reports status back. It is the on-cluster applier. +- **Collector pods (data plane):** a **DaemonSet** (one collector per node) collects per-node metrics and pod logs and, where the kernel supports it, runs the eBPF baseline; a **Deployment** (a single replica) collects cluster metrics and events and acts as the OpenTelemetry (OTel) gateway. + +A cluster appears in KloudMate as **one agent**, not one per node. Per-node detail is carried on resource attributes rather than as separate agent rows. + +## The config-check protocol + +The agent and KloudMate use a single check-in protocol across all deployment modes. On Kubernetes, the fleet manager reports the cluster's capabilities (such as whether nodes support eBPF) and receives the generated configuration for both collectors. New fields are additive, so older agents keep working against the unified protocol. + +## Real collector status + +The fleet manager reports the collectors' **actual** status, not a fixed value. It queries the Kubernetes API for DaemonSet and Deployment readiness and per-node pod status, and reports that back to KloudMate. If you kill a collector pod, its node's status reflects it, so the Kubernetes view shows real per-node collector health. + +## Per-node health and self-logs + +Because a collector pod exits together with its collector, the agent does not run a separate per-pod health reporter. Instead: + +- **Self-logs** are shipped per node, with per-node identity, from both the collector pods and the fleet manager. You see errors such as an invalid configuration without running `kubectl logs`. See [Agent self-logs](../../self-observability/self-logs/). +- The collectors use their readiness probes for liveness and self-healing. + +## ConfigMap management + +The collectors read their configuration from ConfigMaps. To manage these safely: + +- The Helm chart **seeds** the ConfigMaps at install time. +- The fleet manager then **owns** the configuration in managed mode, writing the generated configuration into the ConfigMaps. +- Updates are applied carefully so they do not disturb parts of the configuration the fleet manager does not own, and a configuration change triggers a rollout so the collectors pick it up. + +:::danger +Do not hand-edit the agent's ConfigMaps. In managed mode the fleet manager owns them and will overwrite manual edits. Change configuration through KloudMate instead. See the [configuration model](../../concepts/config-model/). ::: + +## Related features on Kubernetes + +- **Application APM** uses the OpenTelemetry Operator. See [Application APM on Kubernetes](../../auto-instrumentation/kubernetes/). +- **Database monitoring** runs in the Deployment collector and uses a Kubernetes Secret for credentials. See [Database monitoring on Kubernetes](../../database-monitoring/on-kubernetes/). + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx index 272d67d1..3fa3e0e9 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx @@ -1,11 +1,55 @@ --- title: "Windows platform notes" -description: "Deep reference for the KloudMate agent on Windows: discovery, the ETW receiver, injection mechanisms, and privileges." -draft: true +description: "Deep reference for the KloudMate agent on Windows: discovery through IIS and WMI, the ETW baseline, injection mechanisms, and privileges." sidebar: order: 2 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +This page is the deep reference for how the agent runs on Windows. For installation, see the [Windows installation guide](../../installation/windows-agent/); for how .NET and other runtimes are instrumented, see [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/). + +## A different mechanism, the same model + +Windows has no `LD_PRELOAD` and no production eBPF, so the agent uses Windows-native mechanisms while keeping the same discover, instrument, and report model as the other platforms. Instead of systemd drop-ins, the agent uses the Windows registry, Windows Management Instrumentation (WMI), and Internet Information Services (IIS) configuration. + +## Discovery + +To build the Discovered Services list, the agent enumerates: + +- **IIS** sites and application pools, including each pool's managed runtime version and state. +- **Windows services**, through the Service Control Manager. +- **Listening ports**, through WMI, so it can map applications to ports. + +Discovered services appear with a kind of `iis` or `windows_service`. See [Discovery](../../concepts/discovery/). + +## The ETW baseline + +Because Windows has no eBPF, the agent provides an equivalent zero-code baseline through a custom Event Tracing for Windows (ETW) receiver. It taps the HTTP.sys provider to emit server spans (at the request-path level) and Rate, Errors, and Duration (RED) metrics for all IIS traffic, without injection. This covers workloads that cannot use the .NET profiler, including legacy .NET Framework 3.5 pools and non-.NET applications on IIS. The receiver reads events only and makes no changes to your applications. See [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/) for how the ETW baseline and the CLR profiler work together. + +## Injection mechanisms + +- **.NET** is instrumented with the Common Language Runtime (CLR) profiler, whose environment the agent writes directly to the registry or to the IIS `applicationHost.config`, at per-application-pool granularity on IIS 10 and newer. +- **Java, Node.js, and Python** are instrumented through the per-service registry environment. + +See [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/) for the details. + +## Privileges + +The agent runs as a Windows service under the **Local System** account, which gives it the access it needs to: + +- Read IIS configuration and query the Service Control Manager and WMI. +- Write the registry and `applicationHost.config` entries for instrumentation, and recycle pools or restart services. +- Register as an ETW consumer, which requires elevation. + +## Baseline collection + +Alongside application instrumentation, the agent collects the Windows host baseline: performance counters, the Windows Event Log, IIS metrics, and Windows service status. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/_meta.json b/src/content/docs/docs/kloudmate-agent/self-observability/_meta.json new file mode 100644 index 00000000..d7c3a944 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/self-observability/_meta.json @@ -0,0 +1,5 @@ +{ + "label": "Agent health & self-logs", + "order": 9, + "collapsed": true +} diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx index 5ef5d095..9b13adcb 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx @@ -1,11 +1,62 @@ --- title: "Agent health metrics" description: "The out-of-band liveness metrics the KloudMate agent reports about itself and its embedded collector, and how to alert on them." -draft: true sidebar: order: 1 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +The agent reports on its own health so you can tell whether it is alive and whether its collector is running, without logging in to the host. These liveness metrics are reported **out-of-band**, on a path that does not go through the collector, so they keep arriving even when the collector is down. + +## Why out-of-band + +The agent runs its OpenTelemetry (OTel) Collector in-process. If the collector fails, it cannot report anything, including the fact that it died: you cannot report your own death through the thing that died. To solve this, the agent runs a small health reporter beside the collector that pushes a set of `kmagent.*` metrics directly to KloudMate. Because this path bypasses the collector, it survives a collector outage and is the signal that tells you the collector is down. + +## The metric catalog + +The agent reports these metrics, all carrying the resource attributes below: + +| Metric | Meaning | +|---|---| +| `kmagent.up` | Heartbeat. Its absence is the signal that the agent, host, or network is down. | +| `kmagent.uptime` | Time since the agent process started. | +| `kmagent.goroutines` | Internal thread count, useful for spotting a leak. | +| `kmagent.memory.rss` | Agent process memory. | +| `kmagent.cpu.utilization` | Agent process CPU. | +| `kmagent.collector.up` | Whether the embedded collector is running (1 or 0), with `state` and `reason` attributes. | +| `kmagent.collector.restarts` | How many times the collector has been restarted. | +| `kmagent.config.apply.success` | Whether the last configuration push applied cleanly (1 or 0). | +| `kmagent.config.apply.errors` | Cumulative configuration-apply failures. | + +Resource attributes: `service.name` is `kmagent` (so you can target it directly in dashboards and alerts), plus `host.name`, `agent.version`, `collector.version`, `os.type`, and `host.arch`. + +## What the collector status tells you + +`kmagent.collector.up` carries a `reason` attribute that classifies why the collector is down, so you can tell failure modes apart: + +| Situation | Signal | +|---|---| +| Healthy | `kmagent.collector.up=1`, `state=running` | +| A bad configuration was pushed | `kmagent.collector.up=0`, `reason=config_invalid` | +| The collector exited with an error | `kmagent.collector.up=0`, `reason=run_error`, restarts increases | +| The collector panicked | `kmagent.collector.up=0`, `reason=panic`, restarts increases (then it auto-restarts) | +| A graceful shutdown | `reason=shutdown` | + +The agent recovers from a collector panic and restarts the collector with a backoff, so a transient crash heals itself, and the restart count records that it happened. + +## Alerting on a silent agent + +The one failure the agent cannot report is total silence: if the agent, host, or network goes down, nothing is emitted. Detect this with a dead-man's-switch alert in KloudMate that fires when `kmagent.up` stops arriving for a host. Because `kmagent.up` is a steady heartbeat with a dedicated `service.name`, it is straightforward to alert on its absence. + +## Enabling and tuning + +Health reporting is controlled by the agent's settings. You can enable or disable it and set its interval through the agent configuration (the `health-enabled` and `health-interval` settings, which map to the `KM_HEALTH_ENABLED` and `KM_HEALTH_INTERVAL` environment variables). The default interval matches the agent's check-in interval. + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx index 026436d2..39cd683a 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx @@ -1,11 +1,38 @@ --- title: "Agent self-logs" -description: "How the KloudMate agent ships its own error logs out-of-band so you can troubleshoot failures without logging in to the host." -draft: true +description: "How the KloudMate agent ships its own error logs out-of-band so you can troubleshoot agent failures without logging in to the host." sidebar: order: 3 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Self-logs bring the agent's own error output into KloudMate, so you can diagnose a failing agent without opening a shell on the host. Like the [health metrics](../health-metrics/), they are shipped out-of-band, on a path independent of the collector, so an error survives even when the collector cannot run. Self-logs apply on all deployment modes. + +## What it ships + +The agent forwards its own **ERROR-level logs** directly to KloudMate. It ships only errors, not routine debug or info messages, so the volume stays low and the signal stays high. Each log record carries attributes that tell you where the error came from: + +- The **source** within the agent, such as the check-in, discovery, instrumentation, or the collector. +- The **host or node** the agent runs on. +- The **agent version**. + +## Why it matters + +Without self-logs, an error like an invalid configuration or a failed instrumentation is only visible in the agent's local output, which means logging in to the host to read it. With self-logs, that error text appears in KloudMate, so you can see, for example, why a configuration push was rejected or why an instrumentation attempt failed, from the same place you manage the agent. + +## On Kubernetes + +On Kubernetes, self-logs are shipped per node, carried with per-node identity, so you can see errors from each node's collector and from the fleet manager without running `kubectl logs`. See [Kubernetes platform notes](../../platform-notes/kubernetes/). + +## Enabling it + +Self-logs are on by default, controlled by the `KM_AGENT_ERROR_LOGS` setting. Leaving them on means agent errors are always visible in KloudMate. + +## Next steps + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx index 11e652a7..23e52d9e 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx @@ -1,11 +1,41 @@ --- title: "Collector self-telemetry" description: "The opt-in in-band collector telemetry the KloudMate agent can emit, covering exporter queues, send failures, and receiver metrics." -draft: true sidebar: order: 2 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Collector self-telemetry is the deeper, performance-oriented view of the agent's embedded OpenTelemetry (OTel) Collector. Where the [health metrics](../health-metrics/) tell you whether the collector is up, self-telemetry tells you how well it is keeping up while it runs. It is **opt-in**, because it adds metric volume, and it is emitted **in-band** through the collector itself. + +## What it reports + +When enabled, the collector emits its standard `otelcol_*` metrics, including: + +- **Exporter health:** queue size and capacity, send failures, and successfully sent items, so you can see whether the collector is falling behind on shipping data. +- **Receiver activity:** accepted and refused items, so you can see whether data is being dropped at intake. +- **Processor and process metrics:** internal pipeline and process counters. + +These are the same metrics any OpenTelemetry Collector can produce, so they are familiar and well documented. + +## Why it is opt-in and in-band + +Two properties follow from where these metrics come from: + +- **It adds cost.** The collector produces a metric series per component, which increases the metric volume you ingest. For that reason it is off by default, and you turn it on when you want the detail. +- **It dies with the collector.** Because these metrics flow through the collector, they stop when the collector stops. That is why they are not a liveness signal: liveness is the job of the out-of-band [health metrics](../health-metrics/). + +The two tiers complement each other. If the health metrics show `kmagent.collector.up=1` but the collector self-telemetry goes silent, that divergence itself points to a wedged pipeline. + +## Enabling it + +Collector self-telemetry is turned on through the agent's settings. Once enabled, the `otelcol_*` metrics arrive in KloudMate alongside your other telemetry, and you can build dashboards and alerts on exporter queue depth and send failures. + +## Next steps + + + + + + From fbe192109c2aaf67ff733a787f2c2bb9691f5438 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 7 Jul 2026 20:46:45 +0530 Subject: [PATCH 06/39] docs(agent): Wave 6 reference, troubleshooting, and cross-links - reference: metric catalogs (host, eBPF, per-engine DB, kmagent.*), telemetry identity (db.system.name values, server.address/port, service.name = engine:addr:port, dashboards keyed on server address), design decisions (ADR-0001..0006 in user terms), and a glossary. - advanced-configuration: manual YAML, custom receivers, sampling, eBPF overhead tuning, self-telemetry, autonomous mode, credential rotation. - troubleshooting: symptom-first, using health metrics and self-logs as the spine, across install, metrics, traces, databases, Windows, and Kubernetes. - cross-links: reciprocal pointers from apm-and-tracing, database-monitoring, infrastructure, and opentelemetry into the agent section. All 39 agent pages now publish; build and link check pass with no drafts. Sources: docs/agentv2 lld-db-monitoring (compile.go/identity.go), lld-agent-health, lld-config-model, decisions/ADR-0001..0006, internal/dbmonitor/metricmeta. Co-Authored-By: Claude Opus 4.8 --- .../docs/docs/apm-and-tracing/index.mdx | 1 + .../docs/docs/database-monitoring/index.mdx | 4 ++ .../docs/docs/infrastructure/index.mdx | 4 ++ .../advanced-configuration.mdx | 43 +++++++++++-- .../docs/kloudmate-agent/reference/_meta.json | 5 ++ .../reference/design-decisions.mdx | 41 +++++++++++-- .../kloudmate-agent/reference/glossary.mdx | 49 +++++++++++++-- .../reference/metric-catalogs.mdx | 57 ++++++++++++++++-- .../reference/telemetry-identity.mdx | 60 +++++++++++++++++-- .../docs/kloudmate-agent/troubleshooting.mdx | 60 +++++++++++++++++-- src/content/docs/docs/opentelemetry/index.mdx | 4 ++ 11 files changed, 298 insertions(+), 30 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/reference/_meta.json diff --git a/src/content/docs/docs/apm-and-tracing/index.mdx b/src/content/docs/docs/apm-and-tracing/index.mdx index 51e30f4f..f478672c 100644 --- a/src/content/docs/docs/apm-and-tracing/index.mdx +++ b/src/content/docs/docs/apm-and-tracing/index.mdx @@ -23,6 +23,7 @@ Start in **APM Views** when you need higher-level service health and dependency KloudMate supports multiple ways to generate APM and tracing data: - [KloudMate Agent eBPF Observability](../kloudmate-agent/ebpf-observability/) for kernel-level tracing and RED metrics without code changes or restarts +- [KloudMate Agent Application APM](../kloudmate-agent/auto-instrumentation/overview/) to add full distributed tracing to a service, one at a time, and view the results here - [Auto Instrumentation](./auto-instrumentation/) for the preferred Kubernetes APM flow through the KloudMate Agent - [Manual Instrumentation](./manual-instrumentation/) for SDK-based tracing, application metrics, and custom metrics with the most control. diff --git a/src/content/docs/docs/database-monitoring/index.mdx b/src/content/docs/docs/database-monitoring/index.mdx index 926013fb..c2728d8a 100644 --- a/src/content/docs/docs/database-monitoring/index.mdx +++ b/src/content/docs/docs/database-monitoring/index.mdx @@ -8,6 +8,10 @@ sidebar: The KloudMate Agent provides three approaches to database monitoring, from zero-configuration kernel-level profiling to deep SQL-level query analytics, so you can choose the right level of visibility for your environment. +:::tip +To collect server-side database metrics and logs, the KloudMate Agent can wire up database receivers for you through a guided wizard. See [Agent database monitoring](../kloudmate-agent/database-monitoring/overview/). +::: + :::note Which approach should I use? diff --git a/src/content/docs/docs/infrastructure/index.mdx b/src/content/docs/docs/infrastructure/index.mdx index b6eafeb8..87cdd953 100644 --- a/src/content/docs/docs/infrastructure/index.mdx +++ b/src/content/docs/docs/infrastructure/index.mdx @@ -9,6 +9,10 @@ Infrastructure monitoring in KloudMate gives you visibility into the health, per This section covers common infrastructure ingestion paths, whether you are monitoring a single server, a Kubernetes cluster, a Prometheus deployment, or a virtualized environment. +:::tip +The fastest way to start collecting host and Kubernetes metrics is the KloudMate Agent, which sends them automatically after install. See [Install the agent](../kloudmate-agent/installation/linux-agent/) and [Host metrics and logs](../kloudmate-agent/baseline/host-metrics-and-logs/). +::: + ## What You Can Monitor - Hosts and virtual machines diff --git a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx index ec3d4f73..d8255d5c 100644 --- a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx +++ b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx @@ -1,11 +1,44 @@ --- title: "Advanced configuration" -description: "Manual YAML editing, custom receivers, sampling, overhead tuning, autonomous instrumentation, and credential rotation for the agent." -draft: true +description: "Manual YAML, custom receivers, sampling, overhead tuning, autonomous instrumentation, self-telemetry, and credential rotation for the KloudMate agent." sidebar: order: 12 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Most agents run well in managed mode with the defaults. This page collects the advanced controls for cases that need hand-tuning. For the everyday model, see the [configuration model](../concepts/config-model/). + +## Manual YAML and custom receivers + +Switching an agent to **manual mode** gives you the raw collector YAML through the editor, so you can hand-tune the configuration or add a receiver that the managed integrations do not cover. This is the escape hatch for non-standard setups. The trade-off is that you own the configuration and the feature toggles are disabled. On Kubernetes, the agent's configuration lives in the collectors' ConfigMaps; do not edit them directly, because the fleet manager owns them in managed mode. See the [configuration model](../concepts/config-model/) and [Kubernetes platform notes](../platform-notes/kubernetes/). + +The agent's own settings (such as the API key, host name override, and health reporting) are set through `agent.yaml`, environment variables, or command-line flags on the host, and through Helm values on Kubernetes. + +## Sampling + +Set a global trace sampling rate and override it per service to balance trace fidelity against ingestion cost. See [Sampling](../auto-instrumentation/sampling/). + +## eBPF and overhead tuning + +The eBPF baseline runs within a CPU and memory budget and reduces its overhead automatically on small instances. You can tune context propagation, request-header capture, database detection, and buffer sizes further. See [eBPF observability](../ebpf-observability/). + +## Collector self-telemetry + +Turn on the collector's in-band `otelcol_*` self-telemetry when you want detail on exporter queues and send failures. It is off by default because it adds metric volume. See [Collector self-telemetry](../self-observability/self-telemetry/). + +## Autonomous instrumentation + +The default model is to instrument per service. For automated rollouts, the agent supports an **autonomous mode** (`auto-instrument: true`) that instruments every eligible service on a host without per-service toggles, and auto-wires reachable web servers. Use it when you want blanket coverage and are willing to give up the per-service opt-in. See [Application APM overview](../auto-instrumentation/overview/). + +## Credential rotation + +Because the default credential mode stores only an environment reference, you rotate a database password by updating the environment variable or Kubernetes Secret, without changing the agent's configuration. See [Database credentials](../database-monitoring/credentials/). + +## Related + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/reference/_meta.json b/src/content/docs/docs/kloudmate-agent/reference/_meta.json new file mode 100644 index 00000000..f3011dde --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/reference/_meta.json @@ -0,0 +1,5 @@ +{ + "label": "Reference", + "order": 14, + "collapsed": true +} diff --git a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx index 1cacdada..33036a51 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx @@ -1,11 +1,42 @@ --- title: "Design decisions" -description: "The architecture decisions behind the KloudMate agent, summarized in user terms: opt-in activation, config model, eBPF, PHP, and protocol." -draft: true +description: "The architecture decisions behind the KloudMate agent in user terms: opt-in activation, the config model, eBPF default-on, PHP, and the unified protocol." sidebar: order: 3 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +This page summarizes the load-bearing design decisions behind the agent and what each one means for you. They explain why the agent behaves the way it does. + +## Opt-in, per-service instrumentation + +Rather than instrumenting every process on a host at once, the agent instruments one service at a time, when you choose to. This keeps the blast radius of any change small: a problem with one service's instrumentation never affects the others. The always-on eBPF baseline still gives you broad coverage from the moment the agent is installed, so you get immediate value without a system-wide change. See [Application APM overview](../../auto-instrumentation/overview/). + +## Reuse the OpenTelemetry ecosystem + +The agent uses the standard OpenTelemetry (OTel) language agents for Java, Node.js, Python, and .NET, activated through the standard injection environment for each runtime. It does not use a custom loader. The language agents ship inside the KloudMate agent package, versioned with it, so they upgrade together and work in air-gapped environments. See [Linux (systemd)](../../auto-instrumentation/linux-systemd/). + +## Generated configuration, not a hand-edited blob + +Configuration is generated from a structured set of features and integrations rather than hand-edited YAML. This is what makes it safe to turn a feature on or off from the interface, and it produces deterministic output so the agent does not restart the collector needlessly. The raw YAML editor remains an advanced escape hatch. See the [configuration model](../../concepts/config-model/). + +## PHP through a version-gated tracer + +PHP 7 has no native OpenTelemetry path, so the agent uses a dd-trace based tracer for PHP 7 and 8.0 to 8.1 (converted to clean OpenTelemetry) and native OpenTelemetry for PHP 8.2 and newer. One mechanism covers both modern and legacy PHP, and the traces join the same distributed traces as everything else. See [PHP instrumentation](../../auto-instrumentation/php/). + +## eBPF on by default, gated by capability + +The eBPF baseline is enabled by default rather than opt-in, because it delivers the core "install once, see everything" value with no configuration. It is gated by the host's kernel and privileges, and degrades gracefully where it is not supported, so the host still gets metrics and logs. See [eBPF observability](../../ebpf-observability/). + +## One protocol for every mode + +The agent and KloudMate use a single check-in protocol across virtual machines and Kubernetes, with platform-specific fields optional within it. New fields are additive, so older agents keep working. For you this is transparent: it is what lets the same discover, instrument, and report model work everywhere. See [Architecture](../../concepts/architecture/). + +## Related + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx index f932ee15..0fad3a95 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx @@ -1,11 +1,50 @@ --- title: "Glossary" -description: "Definitions of the key terms used across the KloudMate agent documentation, from service identity to receivers and coverages." -draft: true +description: "Definitions of the key terms used across the KloudMate agent documentation, from service identity and drop-ins to receivers, profiles, and coverages." sidebar: order: 4 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Definitions of the terms used across the agent documentation. + +**Collector.** The OpenTelemetry (OTel) Collector that the agent embeds and manages. It runs the receivers, processors, and exporters that collect and ship telemetry. + +**Coverage.** A unit of database collection for one engine, such as standard metrics, query performance, locks, or query logs. You select coverages, and the agent compiles them into receiver configuration. See [Engines and coverages](../../database-monitoring/engines-and-coverages/). + +**Database Activity Monitoring (DAM).** The eBPF baseline's wire-side view of database queries: it parses queries off the network and emits per-query spans, with no credentials. See [eBPF observability](../../ebpf-observability/). + +**Drop-in.** A small systemd configuration file the agent writes under a unit's directory to set the instrumentation environment for that one service on Linux. See [Linux (systemd)](../../auto-instrumentation/linux-systemd/). + +**eBPF (extended Berkeley Packet Filter).** A Linux kernel technology the agent uses to observe applications, network, and databases without code changes. See [eBPF observability](../../ebpf-observability/). + +**ETW (Event Tracing for Windows).** The Windows equivalent of the eBPF baseline. The agent taps ETW to produce request spans and RED metrics for IIS traffic. See [Windows platform notes](../../platform-notes/windows/). + +**Fleet manager.** On Kubernetes, the control-plane pod that applies the generated configuration to the cluster and reports status back. See [Kubernetes platform notes](../../platform-notes/kubernetes/). + +**Managed mode.** A configuration mode in which KloudMate generates the collector configuration from your enabled integrations, and the YAML editor is a read-only preview. Contrast manual mode. See the [configuration model](../../concepts/config-model/). + +**Manual mode.** A configuration mode in which you own the raw collector YAML and the feature toggles are disabled. The advanced escape hatch. See the [configuration model](../../concepts/config-model/). + +**Pipeline.** A path through the collector for one signal (metrics, traces, or logs), made of receivers, processors, and exporters. + +**Profile.** A bundled template that provides one coverage for one database engine. The agent compiles a selected profile into the right receiver configuration. See [Database monitoring overview](../../database-monitoring/overview/). + +**Profiler (CLR profiler).** The Common Language Runtime profiler used to instrument .NET applications on Windows without code changes. See [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/). + +**RED metrics.** Rate, Errors, and Duration: the golden-signal metrics the eBPF baseline produces per service, with no instrumentation. + +**Receiver.** A collector component that collects telemetry from a source, such as `hostmetrics`, `filelog`, or a database receiver like `postgresql`. + +**Service identity.** A stable identifier the agent assigns to a discovered service so an instrumentation choice keeps applying across restarts. See [Discovery](../../concepts/discovery/). + +**Server address.** The canonical, routable address the agent stamps on database telemetry so metrics and traces for the same database join. See [Telemetry identity](../telemetry-identity/). + +## Related + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx b/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx index 2f17ef87..781d1648 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx @@ -1,11 +1,58 @@ --- title: "Metric catalogs" -description: "Reference catalogs for host metrics, eBPF RED and service-map metrics, database metrics, and the agent's own self-metrics." -draft: true +description: "Reference catalogs for the KloudMate agent: host metrics, the eBPF baseline, per-engine database metrics, and the agent's own self-metrics." sidebar: order: 1 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +This page is a reference to the kinds of metrics the agent produces at each layer. Metric names follow OpenTelemetry (OTel) conventions, so where a layer uses a standard receiver, its metrics match that receiver's documented set. + +## Host metrics + +The host baseline produces system-level metrics such as CPU, memory, disk, filesystem, and network usage, under the `system.*` namespace. On Windows, host metrics come from performance counters. See [Host metrics and logs](../../baseline/host-metrics-and-logs/) and the [Infrastructure](../../../infrastructure/) documentation for the views built on them. + +## eBPF baseline metrics + +The eBPF baseline produces Rate, Errors, and Duration (RED) metrics for your services and the data behind the service map, including request rate, error rate, request duration, and inter-service edges. It also captures database queries on the wire for Database Activity Monitoring. See [eBPF observability](../../ebpf-observability/). + +TODO(verify): list the exact eBPF RED and service-map metric names once confirmed against the receiver build. + +## Database metrics + +Each database engine's native receiver produces that engine's standard metrics. Representative examples: + +| Engine | Example metrics | +|---|---| +| PostgreSQL | `postgresql.backends`, `postgresql.connection.max`, `postgresql.commits`, `postgresql.deadlocks`, `postgresql.db_size`, `postgresql.blks_hit`, `postgresql.bgwriter.buffers.writes` | +| MySQL | `mysql.commands`, `mysql.connection.count`, `mysql.connection.errors`, `mysql.buffer_pool.usage`, `mysql.handlers` | +| Redis | `redis.commands`, and key and memory statistics | + +Query-performance coverages add per-query metrics (for example, `postgresql.query.total_exec_time` and `postgresql.query.mean_exec_time`). All database telemetry carries the identity attributes described in [Telemetry identity](../telemetry-identity/). For the full metric list of an engine, see that engine's OpenTelemetry receiver documentation and the [database monitoring](../../database-monitoring/overview/) pages. + +## Agent self-metrics + +The agent reports these `kmagent.*` metrics about itself, out-of-band: + +| Metric | Meaning | +|---|---| +| `kmagent.up` | Heartbeat | +| `kmagent.uptime` | Process uptime | +| `kmagent.goroutines` | Internal thread count | +| `kmagent.memory.rss` | Process memory | +| `kmagent.cpu.utilization` | Process CPU | +| `kmagent.collector.up` | Collector liveness, with `state` and `reason` | +| `kmagent.collector.restarts` | Collector restart count | +| `kmagent.config.apply.success` | Last configuration apply succeeded | +| `kmagent.config.apply.errors` | Cumulative configuration-apply failures | + +See [Agent health metrics](../../self-observability/health-metrics/) for how to use them. When collector self-telemetry is enabled, the agent also emits the standard `otelcol_*` metrics; see [Collector self-telemetry](../../self-observability/self-telemetry/). + +## Related + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx index 5146a533..5eded441 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx @@ -1,11 +1,61 @@ --- title: "Telemetry identity" -description: "How the KloudMate agent identifies databases across metrics and traces so signals join, and how to build dashboards on server address." -draft: true +description: "How the KloudMate agent identifies databases across metrics and traces so signals join, and how to build dashboards keyed on server address." sidebar: order: 2 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +For a database's server-side metrics to line up with the traces that hit it, every signal has to agree on how the database is identified. The agent enforces a single, consistent identity across metrics and traces so they join. This page explains that identity model and how to use it when building dashboards. + +## The identity keys + +The agent identifies a database by the standard OpenTelemetry (OTel) endpoint attributes: + +- **`db.system.name`** identifies the engine. The values are the OpenTelemetry engine names, which for some engines differ from their common name: + + | Engine | `db.system.name` | + |---|---| + | PostgreSQL | `postgresql` | + | MySQL | `mysql` | + | MongoDB | `mongodb` | + | Redis | `redis` | + | Elasticsearch | `elasticsearch` | + | ClickHouse | `clickhouse` | + | SQL Server | `microsoft.sqlserver` | + | Oracle | `oracle.db` | + | SAP HANA | `sap.hana` | + | Snowflake | `snowflake` | + +- **`server.address`** and **`server.port`** identify the database server. This is the same key on a virtual machine and on Kubernetes; only the value differs (a routable host address on a VM, and the Service DNS name on Kubernetes). + +The agent also stamps a per-instance **`service.name`** of the form `::`, so each database instance is distinct and multiple instances of the same engine do not collapse together. + +## Why the agent normalizes the address + +The same database can be reported under different addresses by different signals: a receiver might see a fully qualified host name, an application might connect to `localhost` or a socket, and the eBPF baseline might see an empty address for a loopback connection. A naive join would silently fail. + +To fix this, the agent stamps a **canonical, non-loopback address** on database telemetry. On a virtual machine it resolves loopback and socket aliases to the host's routable address; on Kubernetes it uses the Service DNS endpoint, which is exactly what applications connect to. A dedicated identity step in the agent's collector puts this same `server.address` on the database spans from your applications, the eBPF baseline, and the PHP tracer, so all of them join the receiver metrics for the same instance. + +## Building dashboards + +When you build a dashboard variable to select a database "server," key it on **`server.address`**, not on `host.name`. The reasons: + +- `server.address` is the database's own identity, consistent across metrics and traces. +- `host.name` is the host the telemetry came from, which on a client span is the calling application's host, and on Kubernetes is the cluster, not the individual database. + +Keying on `server.address` (with `server.port` and `db.system.name` where you need to disambiguate) gives you a database selector that works the same way across deployment modes and joins metrics with traces. + +## Limits to know + +- A loopback connection that the eBPF baseline sees with no endpoint can only be bound to a monitored database when there is exactly one instance of that engine on the host; with several same-engine instances, the agent leaves it unstamped rather than guess. +- If an application is instrumented by one agent and its database is monitored by a different agent, the two line up only when they already agree on `server.address`, which they usually do when both use the same DNS endpoint. + +## Related + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx index 0bd7962b..abac906c 100644 --- a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx +++ b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx @@ -1,11 +1,61 @@ --- title: "Troubleshooting" -description: "Symptom-first troubleshooting for the KloudMate agent using self-health and self-logs, across install, metrics, traces, and databases." -draft: true +description: "Symptom-first troubleshooting for the KloudMate agent using self-health and self-logs, across install, metrics, traces, databases, Windows, and Kubernetes." sidebar: order: 13 --- -:::note -This page is being written. Content is coming soon. -::: +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +This page is organized by symptom. Two agent features are your diagnostic spine: the [health metrics](../self-observability/health-metrics/) tell you whether the agent and collector are up and why the collector is down, and the [self-logs](../self-observability/self-logs/) bring the agent's own error messages into KloudMate so you can read them without logging in to the host. Check both first. + +## The agent will not start or stay up + +- **Missing API key.** The agent needs its API key to check in. Confirm the key was provided at install. In the health metrics, a healthy agent emits `kmagent.up`. +- **Invalid collector configuration.** If a pushed configuration is invalid, the collector will not start. Look for `kmagent.collector.up=0` with `reason=config_invalid`, and read the error text in the self-logs. In managed mode the agent validates generated configuration before applying it, and keeps running the last good configuration; in manual mode, fix the YAML. +- **Insufficient privileges.** The agent needs elevated privileges for eBPF (on Linux) and for instrumentation. On Linux it runs with the privileges it needs by default; on Windows it runs as Local System. A permissions failure is reported in the self-logs. + +## Metrics are not flowing + +- **eBPF is unavailable.** If RED metrics and the service map are missing, the host may not support eBPF. Check the host detail for an "eBPF unavailable" reason (kernel older than 4.14, `debugfs` not mounted, or missing privileges). Host metrics and logs are unaffected. See [eBPF observability](../ebpf-observability/). +- **The integration is not enabled.** In managed mode, confirm the feature or integration is toggled on. In manual mode, confirm the receiver is in the YAML. +- **A collection error.** A receiver that cannot reach its target or authenticate logs a scrape error rather than crashing the collector. Check the self-logs for the specific receiver. + +## Traces are not flowing + +- **The service was not discovered.** Only discovered services can be instrumented. Confirm the service appears in the Discovered Services list. See [Discovery](../concepts/discovery/). +- **The toggle has not applied.** Instrumentation takes effect on restart. Check the service's status chip: `pending restart` means the change is written but the service has not restarted. See [Application APM overview](../auto-instrumentation/overview/). +- **Injection failed and rolled back.** If the status shows failed and rolled back, the service crash-looped after instrumentation and the agent reverted the change. Read the reason in the self-logs, then retry. The eBPF baseline continues to cover the service throughout. + +## Database monitoring is not working + +- **Credentials rejected.** Confirm the monitoring user and secret are correct and that the environment reference resolves. On Kubernetes, confirm the Kubernetes Secret exists and the pod was started after it. See [Database credentials](../database-monitoring/credentials/). +- **A missing grant or prerequisite.** A coverage may need a grant or extension (for example, `GRANT pg_monitor`, or the `pg_stat_statements` extension for PostgreSQL query performance). The wizard lists the exact setup steps. See [Engines and coverages](../database-monitoring/engines-and-coverages/). +- **Endpoints do not join.** If database metrics and traces do not line up, confirm the configured endpoint matches what your applications connect to. On Kubernetes, use the Service DNS endpoint. See [Telemetry identity](../reference/telemetry-identity/). + +## Windows-specific + +- **The .NET profiler did not attach.** Confirm the application pool runs a supported runtime (.NET Framework 4.6.2 or newer), that an ASP.NET Core pool is set to "No Managed Code," and that the pool was recycled. Legacy CLR 2.0 pools use the ETW baseline instead. See [Windows and .NET application APM](../auto-instrumentation/windows-dotnet/). +- **No ETW spans.** The ETW baseline needs the Local System privileges the agent runs with. See [Windows platform notes](../platform-notes/windows/). + +## Kubernetes-specific + +- **A collector pod is crashing.** Check the pod's status in the Kubernetes view, which reflects real per-node collector status, and read the fleet manager and collector self-logs. A crash is often an invalid configuration. +- **APM annotations were not applied.** Confirm APM is enabled and the workload is in a monitored namespace. See [Application APM on Kubernetes](../auto-instrumentation/kubernetes/). +- **Do not edit ConfigMaps by hand.** The fleet manager owns them in managed mode and will overwrite manual edits. See [Kubernetes platform notes](../platform-notes/kubernetes/). + +## What to attach when contacting support + +To help KloudMate diagnose an issue quickly, include: + +- The **agent version** and deployment mode. +- The relevant **self-logs** and the collector status (`kmagent.collector.up` state and reason). +- A description of what you changed and the status chip or error you saw. + +## Related + + + + + + diff --git a/src/content/docs/docs/opentelemetry/index.mdx b/src/content/docs/docs/opentelemetry/index.mdx index 9f2247b0..64284482 100644 --- a/src/content/docs/docs/opentelemetry/index.mdx +++ b/src/content/docs/docs/opentelemetry/index.mdx @@ -9,6 +9,10 @@ OpenTelemetry is the primary standard KloudMate supports for collecting and tran Use this section to understand the OpenTelemetry model, decide when to use the Collector, and configure it to send telemetry to KloudMate. +:::note +The [KloudMate Agent](../kloudmate-agent/) embeds and manages an OpenTelemetry Collector for you, so you usually do not configure the Collector by hand. If you need to hand-tune it or add a custom receiver, see [Advanced configuration](../kloudmate-agent/advanced-configuration/). +::: + ## In This Section - [What Is OpenTelemetry?](./what-is-opentelemetry/) From 9f394c40299e7f69d156af51052ad2c0aa458c75 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 7 Jul 2026 21:02:54 +0530 Subject: [PATCH 07/39] docs(agent): simplify language, drop "v2" wording, remove em dashes Editorial pass across the agent docs per review: - Remove all "agent v2" / "v2" wording; the docs describe "the agent". - Simplify language and reduce internal detail: drop deep mechanism (systemd drop-in paths, receiver/pipeline/compile internals, the in-process-collector explanation) in favour of what users see and do. - Cut the database connection-based vs file-based coverage framing; focus on what can be monitored, not how. - Remove AI-sounding phrasing (blast radius, escape hatch, wire-side, golden-signal, "compose rather than overlap", etc.) and any em dashes. - Drop the internal architecture diagram and the marketing benefits graphic; clean "v2"/em dashes out of the instrumentation-flow diagram. Build, lint, and link check all pass (258 pages, no broken links). Co-Authored-By: Claude Opus 4.8 --- .../advanced-configuration.mdx | 2 +- .../auto-instrumentation/linux-systemd.mdx | 93 ++------- .../auto-instrumentation/overview.mdx | 4 +- .../baseline/host-metrics-and-logs.mdx | 14 +- .../kloudmate-agent/concepts/architecture.mdx | 80 ++------ .../kloudmate-agent/concepts/config-model.mdx | 8 +- .../kloudmate-agent/concepts/discovery.mdx | 2 +- .../concepts/images/architecture.svg | 185 ------------------ .../concepts/images/instrumentation-flow.svg | 6 +- .../concepts/layered-instrumentation.mdx | 38 ++-- .../database-monitoring/credentials.mdx | 2 +- .../engines-and-coverages.mdx | 47 ++--- .../database-monitoring/on-kubernetes.mdx | 14 +- .../database-monitoring/on-vm.mdx | 12 +- .../database-monitoring/overview.mdx | 36 ++-- .../kloudmate-agent/ebpf-observability.mdx | 2 +- .../images/agent-v2-benefits.svg | 96 --------- .../docs/docs/kloudmate-agent/index.mdx | 55 ++---- .../docs/docs/kloudmate-agent/management.mdx | 2 +- .../kloudmate-agent/platform-notes/docker.mdx | 2 +- .../reference/design-decisions.mdx | 8 +- .../kloudmate-agent/reference/glossary.mdx | 6 +- .../reference/telemetry-identity.mdx | 6 +- .../self-observability/health-metrics.mdx | 4 +- 24 files changed, 162 insertions(+), 562 deletions(-) delete mode 100644 src/content/docs/docs/kloudmate-agent/concepts/images/architecture.svg delete mode 100644 src/content/docs/docs/kloudmate-agent/images/agent-v2-benefits.svg diff --git a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx index d8255d5c..9a3eb863 100644 --- a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx +++ b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx @@ -11,7 +11,7 @@ Most agents run well in managed mode with the defaults. This page collects the a ## Manual YAML and custom receivers -Switching an agent to **manual mode** gives you the raw collector YAML through the editor, so you can hand-tune the configuration or add a receiver that the managed integrations do not cover. This is the escape hatch for non-standard setups. The trade-off is that you own the configuration and the feature toggles are disabled. On Kubernetes, the agent's configuration lives in the collectors' ConfigMaps; do not edit them directly, because the fleet manager owns them in managed mode. See the [configuration model](../concepts/config-model/) and [Kubernetes platform notes](../platform-notes/kubernetes/). +Switching an agent to **manual mode** gives you the raw collector YAML through the editor, so you can hand-tune the configuration or add a component that the managed integrations do not cover. This is for non-standard setups. The trade-off is that you own the configuration and the feature toggles are disabled. On Kubernetes, the agent's configuration lives in the collectors' ConfigMaps; do not edit them directly, because the fleet manager owns them in managed mode. See the [configuration model](../concepts/config-model/) and [Kubernetes platform notes](../platform-notes/kubernetes/). The agent's own settings (such as the API key, host name override, and health reporting) are set through `agent.yaml`, environment variables, or command-line flags on the host, and through Helm values on Kubernetes. diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx index 37b4fe9f..7eabc72b 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx @@ -1,97 +1,44 @@ --- title: "Linux (systemd)" -description: "How the KloudMate agent instruments Java, Node.js, Python, and .NET services on Linux using per-service systemd drop-in files." +description: "How the KloudMate agent instruments Java, Node.js, Python, and .NET services on Linux, per service, without changing your application code." sidebar: order: 2 --- -import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -On Linux, the agent instruments a service by attaching the matching OpenTelemetry (OTel) language agent to it and restarting it. Activation is surgical and per service: the agent writes a **systemd drop-in** for the one unit you chose, not a system-wide preload that would touch every process. This page explains the mechanism and the per-language settings. For the flow, consent, and rollback behavior, see the [Application APM overview](../overview/). +On Linux, the agent instruments a service by attaching the matching language agent to it and restarting it. It changes only the service you chose, not the whole system. This page covers what that looks like per runtime. For the flow, consent, and rollback behavior, see the [Application APM overview](../overview/). -## How injection works +## How it works -When you instrument a systemd service, the agent: +When you instrument a service, the agent adds the tracing settings to that service and, with your consent, restarts it so the settings take effect. Turning instrumentation off reverses the change and restarts the service, leaving it as it was. Applying the same choice twice does nothing, so it is safe to re-run. -1. Writes a drop-in file at `/etc/systemd/system/.d/` that sets the injection environment for that unit. -2. Runs `systemctl daemon-reload`. -3. With your consent, runs `systemctl restart ` so the environment applies. Injection only takes effect on start. +## Per-runtime support -Disabling instrumentation reverses this: the agent removes the drop-in, reloads, and restarts the service, leaving no trace of the change. Applying the same desired state twice is a no-op, so reconciliation is idempotent. +The agent uses the standard tracing mechanism for each runtime, so the behavior matches what each language's OpenTelemetry (OTel) agent documents. -A Java drop-in, for example, looks like this: - -```ini -[Service] -Environment="JAVA_TOOL_OPTIONS=-javaagent:/opt/kmagent/agents/java/opentelemetry-javaagent.jar" -Environment="OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318" -Environment="OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf" -Environment="OTEL_SERVICE_NAME=checkout" -``` - -Every runtime also receives resource attributes and the sampler setting, and exports to the agent's local collector on `http://localhost:4318`. - -## Per-language injection - -The agent sets the standard OpenTelemetry environment for each runtime. - - - - -```ini -Environment="JAVA_TOOL_OPTIONS=-javaagent:/opt/kmagent/agents/java/opentelemetry-javaagent.jar" -``` - -The Java agent instruments common frameworks, HTTP clients and servers, and database drivers automatically. - - - - -```ini -Environment="NODE_OPTIONS=--require /opt/kmagent/agents/node/otel.js" -``` - -The bundled Node.js module registers OpenTelemetry auto-instrumentation at startup. - - - - -```ini -Environment="PYTHONPATH=/opt/kmagent/agents/python" -``` - -The bundled `sitecustomize.py` selects the module set for the running interpreter version and starts auto-instrumentation. A Python version the bundle does not cover runs uninstrumented rather than failing. - - - - -```ini -Environment="CORECLR_ENABLE_PROFILING=1" -Environment="CORECLR_PROFILER={CLSID}" -Environment="CORECLR_PROFILER_PATH=/opt/kmagent/agents/dotnet/linux-x64/OpenTelemetry.AutoInstrumentation.Native.so" -Environment="OTEL_DOTNET_AUTO_HOME=/opt/kmagent/agents/dotnet" -``` - -.NET on Linux uses the CLR profiler. It is supported, though less common than .NET on Windows; see [Windows and .NET](../windows-dotnet/) for the primary .NET flow. - - - +| Runtime | How it is attached | +|---|---| +| Java | The Java agent, through the standard `JAVA_TOOL_OPTIONS` startup option | +| Node.js | The Node.js instrumentation, loaded at startup with `NODE_OPTIONS` | +| Python | The Python auto-instrumentation | +| .NET | The .NET (CLR) profiler (less common on Linux than on Windows) | :::note -PHP is not instrumented through a systemd drop-in. It uses a `php.ini` file and a graceful reload of the PHP process manager instead. See [PHP instrumentation](../php/). Go is not injected at all; it is covered by the [eBPF baseline](../go-ebpf/). +PHP and Go work differently. PHP uses a `php.ini` setting and a graceful reload instead of a restart; see [PHP instrumentation](../php/). Go is not attached at all; it is covered by the [eBPF baseline](../go-ebpf/). ::: -## Bundled language agents +## Bundled with the agent -The language agents (the Java agent, the .NET profiler, the Node.js module, and the Python distribution) ship inside the KloudMate agent's `.deb` and `.rpm` packages under `/opt/kmagent/agents//`. Their versions are locked to the agent package, so they upgrade when the agent does and there is no download at instrumentation time. This keeps installs air-gap friendly and gives you a single unit to test and release. +The language agents come inside the KloudMate agent package and are versioned with it, so they upgrade when the agent does and there is no separate download to manage. -## Restart orchestration +## Restart behavior -The agent restarts one service at a time, only with your consent, and can wait for a health gate (the unit becomes active and, where known, its listen port accepts connections) before reporting success. If a restart fails or crash-loops, the agent rolls the change back. See the [overview](../overview/) for details. +The agent restarts one service at a time, only with your consent, and can wait for the service to come back up before reporting success. If a restart fails, the agent undoes the change and restarts the service to its previous state. See the [overview](../overview/) for details. -## Non-systemd processes +## Other process managers -systemd is the first-class path. Processes managed by other supervisors (such as supervisord or pm2) or run bare have no surgical injection point, so the agent treats them as best-effort and reports them as unsupported for automatic instrumentation, with guidance rather than an automatic change. +systemd is the primary path on Linux. Services run under other process managers, such as supervisord or pm2, or run on their own, do not have a per-service way to attach the agent, so the agent reports them as not supported for automatic instrumentation and offers guidance instead. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx index 393b8b9b..a0fcc324 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -40,7 +40,7 @@ The agent never restarts your services silently. In this version: ## Automatic rollback -If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service to its previous state, then reports the status as failed and rolled back. Your service returns to how it ran before, and the eBPF baseline continues to cover it. This surgical, opt-in approach keeps the blast radius of instrumentation small: a problem with one service never affects the others. +If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service to its previous state, then reports the status as failed and rolled back. Your service returns to how it ran before, and the eBPF baseline continues to cover it. Because you instrument one service at a time, a problem with one service never affects the others. ## Supported runtimes @@ -53,7 +53,7 @@ If an instrumented service fails to restart or falls into a crash loop, the agen | PHP | Native OpenTelemetry (PHP 8.2 and newer) or a dd-trace based tracer (PHP 7 and 8.0 to 8.1) | | Go | Covered by the eBPF baseline, not injected | -The language agents ship inside the KloudMate agent package, versioned together with it, so there is no separate download and installs work in air-gapped environments. +The language agents ship inside the KloudMate agent package and are versioned with it, so there is no separate download to manage. ## Clean traces without duplicates diff --git a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx index 920f1c68..554dba9d 100644 --- a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx +++ b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx @@ -16,9 +16,9 @@ What the agent collects depends on the deployment mode, because each platform ex -- **Host metrics:** CPU, memory, disk, network, and process metrics, collected by the agent's `hostmetrics` receiver. -- **System logs:** the systemd journal, collected by the `journald` receiver. -- **File logs:** log files you point the agent at, collected by the `filelog` receiver. +- **Host metrics:** CPU, memory, disk, network, and process metrics. +- **System logs:** the systemd journal. +- **File logs:** log files you point the agent at. @@ -30,9 +30,9 @@ What the agent collects depends on the deployment mode, because each platform ex -- **Per-node metrics:** CPU, memory, disk, and network for each node, collected by the `kubeletstats` receiver in the DaemonSet. -- **Pod logs:** container stdout and stderr, collected by the `filelog` receiver in the DaemonSet. -- **Cluster metrics and events:** workload, namespace, and node state plus cluster events, collected by the `k8s_cluster` receiver in the Deployment. +- **Per-node metrics:** CPU, memory, disk, and network for each node. +- **Pod logs:** container stdout and stderr. +- **Cluster metrics and events:** workload, namespace, and node state, plus cluster events. @@ -45,7 +45,7 @@ What the agent collects depends on the deployment mode, because each platform ex :::note -This baseline is the same infrastructure telemetry the agent has always collected. Agent v2 adds the higher layers (the eBPF baseline and opt-in application tracing) on top of it, without changing how host metrics and logs work. +Host metrics and logs need no configuration. The other layers, such as the eBPF baseline and application tracing, build on top of this one. ::: ## Where to view it diff --git a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx index 7680c653..f635fa62 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx @@ -1,86 +1,46 @@ --- title: "Architecture" -description: "How the KloudMate agent splits into a control plane and a data plane, and how the same model maps onto Linux, Windows, Kubernetes, and Docker." +description: "How the KloudMate agent is managed from the web interface, and how the same model works across Linux, Windows, Kubernetes, and Docker." sidebar: order: 1 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The KloudMate agent is built around a clear split: a **control plane** that decides what to collect, and a **data plane** that does the collecting. This page explains the two halves, the check-in protocol that connects them, and how the same model maps onto each deployment mode. +The KloudMate agent is built around a simple idea: you decide what to collect in the KloudMate web interface, and the agent on your host does the collecting. This page explains how the two sides work together and how the same model applies to each deployment mode. -## Design principles +## Two sides -The agent follows five principles that shape everything else in this section: +- **KloudMate (the web interface):** where you choose what each agent collects, and where you see the discovered inventory and the telemetry. +- **The agent (on your host):** finds your services, collects host metrics and logs, applies instrumentation when you ask for it, and sends the telemetry to KloudMate. -- **Baseline is automatic; depth is opt-in.** Anything that is safe and zero-risk (host metrics, logs, and the eBPF baseline) turns on automatically. Anything that requires a process restart or touches your application code is opt-in, one service at a time. -- **Configuration is generated, not hand-written.** A structured set of features and integrations compiles into collector configuration. The raw YAML editor stays as an advanced escape hatch, not the primary experience. -- **Reuse the ecosystem.** The agent leans on OpenTelemetry (OTel) language agents, the OpenTelemetry .NET profiler, and an extended Berkeley Packet Filter (eBPF) baseline. KloudMate adds discovery, the control-plane glue, and the user experience. -- **Mirror the Kubernetes contract.** The flow is the same everywhere: discover, choose settings, the agent self-applies, then reports status back. -- **Separate "apply instrumentation" from "restart collector."** Instrumentation actions run on their own path, independent of the collector's configuration-driven restarts. +The agent checks in with KloudMate regularly. It reports what it found and receives its settings. When you change a setting in the web interface, the agent picks it up on its next check-in and applies it for you. You do not edit files on the host or use Secure Shell (SSH). -## Control plane and data plane +## Principles -``` -Control plane (KloudMate) Data plane (your host or cluster) -┌──────────────────────────┐ ┌──────────────────────────────────┐ -│ Web interface │ │ KloudMate agent │ -│ • discovered inventory │ │ • embedded OTel Collector │ -│ • feature/integration │ check-in │ • service discovery │ -│ toggles │◀──────────▶│ • instrumentation manager │ -│ Backend │ protocol │ • updater loop │ -│ • config generation │ │ │ -│ • inventory ingest │ │ exports telemetry ──▶ KloudMate │ -└──────────────────────────┘ └──────────────────────────────────┘ -``` +A few ideas shape how the agent behaves: -### Control plane - -The control plane runs inside KloudMate: - -- The **web interface** shows the discovered inventory for each host or cluster and lets you toggle features and per-service instrumentation. -- The **backend** stores what each agent should collect, generates the collector configuration from your enabled integrations, and ingests the inventory the agent reports. - -### Data plane - -The data plane is the agent itself, running on your host or cluster. It bundles several parts: - -- The **embedded OpenTelemetry Collector**, which runs the receivers, processors, and exporters that actually collect and ship telemetry. -- The **discovery service**, which inventories the services, runtimes, and databases on the host. See [Discovery](../discovery/). -- The **instrumentation manager**, which applies per-service instrumentation (for example, systemd drop-ins on Linux or registry entries on Windows) when you opt in. -- The **updater loop**, which checks in with the control plane, applies new configuration, and reports status. - -Every layer of telemetry exports through the same embedded collector, so there is no separate ingestion path to manage. - -![The KloudMate agent architecture: the control plane generates configuration that the data-plane agent applies, while the embedded collector, discovery, and instrumentation manager run on the host.](./images/architecture.svg) - -## The check-in protocol - -The two planes stay in sync through a periodic check-in: - -1. The agent reports what it found (discovered services and host capabilities such as kernel version and eBPF support) to the control plane. -2. The control plane generates the collector configuration from your enabled integrations and returns it, along with any per-service instrumentation settings you have chosen. -3. The agent applies the configuration. If the configuration changed, it restarts the embedded collector. If you toggled a service for instrumentation, the instrumentation manager applies it on its own path. - -Because configuration flows one way (from the control plane to the agent), a change you make in the web interface reaches every matching agent on its next check-in without any manual steps on the host. +- **The baseline is automatic; depth is opt-in.** Anything safe and low-risk (host metrics, logs, and the eBPF baseline) turns on by itself. Anything that needs a process restart is something you turn on per service. +- **You do not write configuration.** You turn features on and off in the web interface, and KloudMate produces the settings for you. A manual editor is available for advanced setups. +- **The experience is the same everywhere.** You find a service, turn on what you want, and the agent applies it, whether you run on a virtual machine, Windows, Kubernetes, or Docker. ## How the model maps onto each deployment mode -The control-plane and data-plane split is the same in every mode. What changes is how the data plane is packaged and how it applies instrumentation. +The two-sided model is the same in every mode. What changes is how the agent is packaged and how it applies instrumentation. -| Mode | Data-plane packaging | Instrumentation mechanism | +| Mode | How the agent runs | How it applies instrumentation | |---|---|---| -| Linux / VM | A single agent running as a systemd service, with an embedded collector. | systemd drop-in files per service. | -| Windows | A single agent running as a Windows service. | Registry and Internet Information Services (IIS) configuration per service or application pool. | -| Kubernetes | A control-plane pod (fleet manager) plus DaemonSet and Deployment collector pods. One agent represents one cluster. | OpenTelemetry Operator annotations on workloads. | -| Docker | A containerized collector started in Docker mode. | Host metrics, logs, and eBPF today; per-container injection is rolling out. | +| Linux / VM | A single agent as a systemd service. | Per-service, using systemd. | +| Windows | A single agent as a Windows service. | Per service or application pool, using the registry and Internet Information Services (IIS). | +| Kubernetes | A control pod plus collector pods. One agent represents one cluster. | Per workload, using the OpenTelemetry (OTel) Operator. | +| Docker | A containerized collector. | Host metrics, logs, and eBPF today; per-container tracing is rolling out. | -On Kubernetes, the agent keeps a two-plane split of its own: a fleet-manager pod acts as the on-cluster control-plane applier, while the DaemonSet and Deployment collector pods form the data plane. Per-node identity is carried on resource attributes, so one cluster appears as one agent rather than many. See [Kubernetes platform notes](../../platform-notes/kubernetes/). +On Kubernetes, one cluster appears as one agent rather than one per node. See [Kubernetes platform notes](../../platform-notes/kubernetes/). ## Next steps - + - + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx index 710d656b..81db292f 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx @@ -31,14 +31,14 @@ Every agent has a `config_mode` that is either **managed** or **manual**. | Feature and integration toggles | Available | Disabled | | Default for | New agents | Existing agents after upgrade | -- In **managed mode**, the configuration is generated from your enabled integrations every time. The YAML editor shows a read-only preview of what was generated. Toggling a feature regenerates the configuration deterministically. -- In **manual mode**, you own the YAML blob. The integration toggles are disabled, and the YAML editor is writable. This is the advanced escape hatch for setups that need hand-tuned configuration. +- In **managed mode**, the configuration is generated from your enabled integrations every time. The YAML editor shows a read-only preview of what was generated. Toggling a feature regenerates the configuration. +- In **manual mode**, you own the YAML blob. The integration toggles are disabled, and the YAML editor is writable. This is for advanced setups that need hand-tuned configuration. TODO(screenshot): the managed/manual mode toggle and the integrations panel in Agent settings. -## Deterministic generation +## No needless restarts -Generation is deterministic: the same set of enabled integrations always produces the same configuration, with stable ordering of keys and pipeline components. This matters because the agent decides whether to restart the collector by comparing configuration. Deterministic output means that reordering integrations, or regenerating without a real change, does not produce a different result, so the agent does not restart the collector needlessly. +The same set of enabled integrations always produces the same configuration. So turning features on and off, or making a change that does not really alter anything, does not cause the agent to restart the collector for no reason. ## Configuration history and rollback diff --git a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx index 0b4ceea6..8167301b 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx @@ -37,7 +37,7 @@ TODO(screenshot): Discovered Services list on the host detail page, showing runt ## Stable service identity -Each discovered service is assigned a **stable identity** that survives restarts and process-ID churn. This is what lets an "Instrument" choice keep applying after a service restarts or its process ID changes. The identity is derived deterministically, in order of preference: +Each discovered service is assigned a **stable identity** that survives restarts and process-ID churn. This is what lets an "Instrument" choice keep applying after a service restarts or its process ID changes. The identity is chosen in this order of preference: 1. The **systemd unit name** (for example, `checkout.service`) when the process belongs to a unit. This is the most stable key. 2. The **container image or Compose service** when the service runs in a container, so a selection survives container restarts rather than tracking a throwaway container ID. diff --git a/src/content/docs/docs/kloudmate-agent/concepts/images/architecture.svg b/src/content/docs/docs/kloudmate-agent/concepts/images/architecture.svg deleted file mode 100644 index f1bd6c80..00000000 --- a/src/content/docs/docs/kloudmate-agent/concepts/images/architecture.svg +++ /dev/null @@ -1,185 +0,0 @@ - - KloudMate Agent v2 — VM auto-instrumentation architecture - A Linux VM runs kmagent: a control-plane executor (discovery, auto-instrument join, instrumentation manager, eBPF capability gate) plus a collector export hub. Opt-in per-service injection and an eBPF baseline feed app traces and RED/map telemetry to the collector, which exports to KloudMate. A backend and frontend drive the agent via the /agents/config-check protocol. A layered model L0–L5 maps the instrumentation depth. - - - - - - - - - - - KloudMate Agent v2 — VM Auto-Instrumentation - Install once → discover · instrument · eBPF baseline. Server-pushed config; all telemetry exits via the existing collector pipeline. - - - CONTROL PLANE - - - - kloudmate-frontend (UI) - Discovered-services tab - Per-service Instrument toggle - - - - - kloudmate-backend — control plane - config-check handler · structured config generation - inventory ingest · getVmConfig (mirror K8s) - - - - - Postgres / Hasura - agents · agent_integrations - vm_resources · config.vm · vm_apm - - - - - - - - - - POST /agents/config-check - unified host + K8s contract - ↓ config · vm_apm · restart - ↑ capabilities · discovered_services · status - - - - VM — Linux host - · kmagent (systemd) · all telemetry exits via the existing collector - - - - kmagent — control-plane executor - updater loop drives /agents/config-check check-in - - - - - Discovery - internal/discovery/vm - /proc · classify · ports - stable service_id - - - - Auto-instrument - internal/autoinstrument - discovery + opt-in - → desired-state - - - - Instrumentation mgr - internal/instrumentation/vm - systemd drop-ins - restart + rollback - - - - Capabilities + gate - internal/capabilities · /ebpf - kernel/BTF/caps probe - gates the eBPF receiver - - - - - - - - Instrumented services — systemd, opt-in per service - - - Java - javaagent - - .NET - CLR profiler - - Node.js - --require - - Python - sitecustomize - - PHP 7.x - Zend extension - - - - - eBPF — ebpfreceiver / OBI fork - RED metrics · service map · DAM — zero-code - attaches to all processes - kernel-gated (≥ 4.14) - - - - Collector (otelcol) — export hub - receivers: hostmetrics · filelog · otlp :4318 · ebpfreceiver · db* - single pipeline — no new ingestion path - - - - writes drop-in + (consent) restart - - enables ebpfreceiver - - app traces · OTLP :4318 - - eBPF spans + metrics - - - - - - - KloudMate - OTLP ingest — traces/metrics/logs - - - Layered model - baseline auto · depth opt-in - - - - L5 · Legacy app traces - native PHP 7 Zend extension - - L4 · DB & middleware - auto-wired receivers + eBPF DAM - - L3 · Modern app traces - injector: Java/.NET/Node/Python - - L2 · Universal RED / map - eBPF — default-on, kernel-gated - - L1 · Infra / host - hostmetrics · filelog · journald - - L0 · Discovery - service / runtime / DB inventory - - - - - - - kmagent components - - apps · control plane · layers - - telemetry flow - - control / config flow - - diff --git a/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg b/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg index 7019c09e..f8aad431 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg +++ b/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg @@ -9,7 +9,7 @@ - KloudMate agent · v2 + KloudMate agent @@ -19,7 +19,7 @@ Runs on VMs and Docker How zero-code instrumentation works - The agent covers your whole stack three ways — none of them touch your source code. + The agent covers your whole stack three ways, and none of them touch your source code. Install the agent @@ -34,7 +34,7 @@ - No source-code changes — ever. + No source-code changes, ever. diff --git a/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx b/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx index d7a1a715..ef3c5830 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx @@ -1,15 +1,13 @@ --- title: "The layered instrumentation model" -description: "The KloudMate agent collects telemetry in six layers, from automatic host and eBPF baseline through opt-in application, database, and legacy tracing." +description: "The KloudMate agent collects telemetry in layers, from the automatic host and eBPF baseline through opt-in application and database tracing." sidebar: order: 2 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The KloudMate agent organizes what it collects into six layers, labeled L0 through L5. The lower layers are automatic and carry no risk to your applications. The upper layers require a process restart, so you turn them on for each service when you are ready. This "zero-config baseline plus opt-in depth" model is what lets you install once and then instrument everything at your own pace. - -Every layer exports through the same embedded OpenTelemetry (OTel) Collector, so adding a layer never adds a new pipeline for you to manage. +The KloudMate agent organizes what it collects into six layers, labeled L0 through L5. The lower layers are automatic and carry no risk to your applications. The upper layers require a process restart, so you turn them on for each service when you are ready. This lets you get value right away and add deeper tracing at your own pace. ## The layers at a glance @@ -19,7 +17,7 @@ Every layer exports through the same embedded OpenTelemetry (OTel) Collector, so | L1: Host metrics and logs | CPU, memory, disk, network, and system logs | Automatic | | L2: eBPF baseline | RED metrics, service map, Database Activity Monitoring, context propagation | Automatic (kernel-gated) | | L3: Application APM | Distributed traces for Java, Node.js, Python, .NET | Opt-in per service | -| L4: Databases and middleware | Server-side database metrics and logs | Opt-in per database | +| L4: Databases | Database metrics, query performance, and logs | Opt-in per database | | L5: Legacy application traces | Route-level traces for PHP 7 | Opt-in per service | ![The KloudMate instrumentation flow: install, discover, and collect the automatic baseline, then opt in to application, database, and legacy tracing per service.](./images/instrumentation-flow.svg) @@ -30,22 +28,22 @@ The first three layers turn on without any configuration and without touching yo ### L0: Discovery -Discovery inventories the application services, runtimes, and databases running on each host or cluster. It classifies each service by runtime (Java, .NET, Node.js, Python, PHP, Go, and Ruby), notes how it is managed and which ports it listens on, and marks whether the agent has a way to instrument it. This inventory powers the "we found these services, instrument them?" prompts in the web interface. See [Discovery](../discovery/). +Discovery inventories the application services, runtimes, and databases running on each host or cluster. It records each service's runtime (Java, .NET, Node.js, Python, PHP, Go, and Ruby), how it is managed, and which ports it listens on, and it marks whether the agent has a way to instrument it. This inventory powers the "we found these services, instrument them?" prompts in the web interface. See [Discovery](../discovery/). ### L1: Host metrics and logs -After install, the agent collects host metrics (CPU, memory, disk, and network) and system logs automatically. This is the same infrastructure telemetry the agent has always provided, and it needs no configuration. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). +After install, the agent collects host metrics (CPU, memory, disk, and network) and system logs automatically. It needs no configuration. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). ### L2: eBPF baseline -Where the Linux kernel supports it, the extended Berkeley Packet Filter (eBPF) baseline turns on by default. It observes traffic directly from the kernel to produce: +Where the Linux kernel supports it, the extended Berkeley Packet Filter (eBPF) baseline turns on by default. It watches traffic in the kernel to produce: - **RED metrics** (Rate, Errors, and Duration) for your services. -- A **network service map** with peer-to-peer latency. -- **Database Activity Monitoring (DAM)**, which parses database queries on the wire with no credentials. -- **Trace-context propagation** across services over HTTP, and correlation between logs and traces. +- A **network service map** with service-to-service latency. +- **Database Activity Monitoring (DAM)**, which shows the database queries your applications run, with no credentials. +- **Trace-context propagation** across services, and links between logs and traces. -None of this requires code changes or SDKs. See [eBPF observability](../../ebpf-observability/). +None of this needs code changes or SDKs. See [eBPF observability](../../ebpf-observability/). ## Opt-in depth (L3 to L5) @@ -53,24 +51,24 @@ The upper layers attach to individual services and need a restart of that servic ### L3: Application APM -Application performance monitoring (APM) attaches OpenTelemetry auto-instrumentation to a modern application to produce full distributed traces. You toggle a service to instrument it, consent to the restart, and traces begin flowing, correlated with the eBPF spans from L2. Supported runtimes include Java, Node.js, Python, and .NET. See [Application APM](../../auto-instrumentation/overview/). +Application performance monitoring (APM) attaches tracing to an application to produce full distributed traces. You turn on a service to instrument it, agree to the restart, and traces begin flowing, joined with the eBPF spans from L2. Supported runtimes include Java, Node.js, Python, and .NET. See [Application APM](../../auto-instrumentation/overview/). -### L4: Databases and middleware +### L4: Databases -Database monitoring adds server-side receivers that read a database engine's own health metrics and logs (connections, cache hit ratio, replication lag, slow queries, and more). This complements the wire-side view that eBPF DAM provides at L2: eBPF shows the application-to-database traffic, while the receivers show the server's internal state. See [Database monitoring](../../database-monitoring/overview/). +Database monitoring reads the database's own health metrics and logs, such as connections, cache hit ratio, replication lag, and slow queries. This works with the eBPF view at L2: eBPF shows the queries your applications run, while database monitoring shows the database's own health. See [Database monitoring](../../database-monitoring/overview/). ### L5: Legacy application traces -PHP 7 has no native OpenTelemetry path, so the agent brings route-level tracing to PHP 7 applications through a dedicated tracer. The resulting traces share trace identifiers with the eBPF baseline, so they join the same distributed traces as everything else. See [PHP instrumentation](../../auto-instrumentation/php/). +PHP 7 has no native tracing path, so the agent brings route-level tracing to PHP 7 applications through a dedicated tracer. The resulting traces join the same distributed traces as everything else. See [PHP instrumentation](../../auto-instrumentation/php/). -## Why the split matters +## Why the layers are split -Splitting automatic layers from opt-in layers keeps the blast radius of instrumentation small. You get immediate, safe visibility from L0 to L2 the moment the agent is installed. When you want deeper application traces, you enable L3 to L5 for a single service, review the result, and expand from there, rather than instrumenting your whole fleet at once. +The automatic layers give you safe visibility as soon as the agent is installed. The opt-in layers need a restart, so you enable them one service at a time: turn one on, check the result, then do more. You are never forced to instrument everything at once. ## Next steps - - + + diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx index f07e227f..e27b329b 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Server-side database monitoring needs a monitoring user's credentials to connect to the engine. The agent supports three ways to provide them, so you can keep secrets out of your configuration. The wire-side eBPF view needs no credentials at all. For the general flow, see the [Database monitoring overview](../overview/). +Database monitoring needs a monitoring user's credentials to read from the database. The agent supports three ways to provide them, so you can keep secrets out of your configuration. The automatic eBPF view of your queries needs no credentials at all. For the general flow, see the [Database monitoring overview](../overview/). ## The three credential modes diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx index aa03975a..6ae5e839 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/engines-and-coverages.mdx @@ -1,40 +1,29 @@ --- title: "Engines and coverages" -description: "The database engines the KloudMate agent monitors and the metric and log coverages available for each, including connection-based and file-based coverages." +description: "The database engines the KloudMate agent monitors and the metrics, query performance, locks, and logs available for each engine." sidebar: order: 2 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The agent monitors databases through bundled **profiles**. Each profile provides one **coverage** for one engine, and you combine coverages to get the depth you want. This page lists the engines and the coverages available for each. +You choose what to monitor for a database as a set of **coverages**. This page lists the engines the agent monitors and the coverages available for each. ## Coverage types -Coverages fall into a few types, depending on what they collect and how: - -- **Standard metrics:** the engine's native health and capacity metrics (connections, cache hit ratio, replication lag, buffers, table and index statistics). Collected by the engine's native receiver. A `basic` level uses the receiver defaults; a `full` level turns on every additional metric. -- **Query performance and top queries:** aggregated statistics for the most expensive queries across all clients, read from the engine's own views (for example, `pg_stat_statements` on PostgreSQL, dynamic management views on SQL Server, and `v$` views on Oracle). +- **Standard metrics:** the database's health and capacity metrics, such as connections, cache hit ratio, replication lag, buffers, and table and index statistics. You can collect a basic set or a full set. +- **Query performance:** statistics for the most expensive queries across all clients, so you can find slow and heavy queries. - **Locks:** lock and blocking information. -- **Query logs:** rows from diagnostic views emitted as log records. -- **Server logs, stderr logs, and slow logs:** the database's own log files. - -## Connection-based and file-based coverages - -There are two ways a coverage collects data, and the difference matters on Kubernetes: - -- **Connection-based coverages** connect to the database (standard metrics, query performance, locks, and query logs). They need credentials but no access to the host. -- **File-based coverages** read the database's log files on the host (server logs, stderr logs, and slow logs). They need no database connection but do need access to the log files. - -File-based coverages require the agent to run where the log files are, so they are available on a virtual machine but hidden on Kubernetes, where the collector scrapes databases remotely and cannot read another pod's files. See [Database monitoring on Kubernetes](../on-kubernetes/). +- **Query logs:** query activity captured as log records. +- **Server and slow logs:** the database's own log entries, including slow queries. ## Engine and coverage matrix -| Engine | Standard metrics | Query performance / top queries | Locks | Query logs | Log files | +| Engine | Standard metrics | Query performance | Locks | Query logs | Logs | |---|---|---|---|---|---| -| PostgreSQL | Yes | Yes | Yes | No | Server logs, stderr logs | +| PostgreSQL | Yes | Yes | Yes | No | Server logs | | MySQL | Yes | Yes | No | No | Slow log | -| SQL Server (Microsoft SQL Server) | Yes | Yes | No | Yes | No | +| SQL Server | Yes | Yes | No | Yes | No | | Oracle | Yes | Yes | No | Yes | No | | MongoDB | Yes | No | No | No | No | | MongoDB Atlas | Yes | No | No | No | No | @@ -44,19 +33,23 @@ File-based coverages require the agent to run where the log files are, so they a | SAP HANA | Yes | No | No | No | No | | Snowflake | Yes | Yes | No | No | No | -## Setup steps per coverage +:::note +Database log coverages are available on a virtual machine. On Kubernetes, the agent collects database metrics and query coverages. See [Database monitoring on Kubernetes](../on-kubernetes/). +::: + +## Setup steps Some coverages need a one-time setup step on the database, which the wizard shows you when you select the coverage. For example: -- PostgreSQL query performance needs the `pg_stat_statements` extension, which requires adding it to `shared_preload_libraries` and creating the extension. This step needs a PostgreSQL restart. -- Query and query-log coverages need the monitoring user to have the right grants (for example, `GRANT pg_monitor` on PostgreSQL, or the equivalent view permissions on SQL Server and Oracle). -- File-based log coverages may need a log setting enabled on the database (for example, MySQL's slow query log). +- PostgreSQL query performance needs the `pg_stat_statements` extension enabled, which needs a PostgreSQL restart. +- Query performance and query-log coverages need the monitoring user to have the right grants, such as `GRANT pg_monitor` on PostgreSQL or the equivalent view permissions on SQL Server and Oracle. +- Log coverages may need a log setting turned on, such as the MySQL slow query log. -If a prerequisite is missing, the coverage reports it rather than failing silently, and the rest of the coverages keep working. +If a prerequisite is missing, the agent reports it and the other coverages keep working. -## Filtering database logs by coverage +## Filtering database logs -All database log records the agent produces are tagged with a `km.db.coverage` attribute set to the coverage name (for example, `query-performance`, `server-logs`, `stderr-logs`, `slow-log`, or `query-log`). You can filter database logs by this attribute in Log Explorer to focus on one kind of coverage. +Database logs carry a `km.db.coverage` attribute set to the coverage they came from, such as `query-performance`, `server-logs`, or `slow-log`. You can filter database logs by this attribute in Log Explorer. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx index fcb51a4f..dd16210e 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx @@ -1,29 +1,29 @@ --- title: "Database monitoring on Kubernetes" -description: "How the KloudMate agent monitors in-cluster databases from the cluster collector, using a Kubernetes Secret for credentials and managed mode." +description: "How the KloudMate agent monitors databases running in your Kubernetes cluster, using a Kubernetes Secret for credentials and managed mode." sidebar: order: 4 --- import { Steps, LinkCard, CardGrid } from '@astrojs/starlight/components'; -On Kubernetes, the agent monitors the databases running in your cluster from the cluster collector. The flow is the same as on a virtual machine, with a few Kubernetes specifics: where the scraping runs, how credentials are supplied through a Kubernetes Secret, and that database monitoring requires managed mode. For the general model, see the [Database monitoring overview](../overview/). +On Kubernetes, the agent monitors the databases running in your cluster. The flow is the same as on a virtual machine, with a few Kubernetes specifics: how credentials are supplied through a Kubernetes Secret, and that database monitoring requires managed mode. For the general model, see the [Database monitoring overview](../overview/). -## Where scraping runs +## One monitor per cluster -Database scraping runs in the cluster **Deployment** collector, which runs a single replica, so each database is scraped once rather than once per node. This is also where your applications' database spans arrive, so the server-side metrics and the query spans join in the same place. +On Kubernetes, one collector in the cluster monitors your databases, so each database is monitored once for the whole cluster rather than once per node. ## Discovery prefills the endpoint -The agent discovers in-cluster databases by their Services and well-known ports, and corroborates the engine from the backing image. Discovery gives the exact Service DNS endpoint, `..svc.cluster.local:`, and the wizard prefills it. This matters on Kubernetes: your applications connect to the database by that Service DNS name, so using the same endpoint is what makes the server-side metrics and the application spans join. Databases outside the cluster are not discovered and are added manually. +The agent finds databases running in your cluster and prefills the wizard with their in-cluster address, `..svc.cluster.local:`. Use this address, because your applications connect to the database by the same name, which is what makes its metrics and traces line up. Databases outside the cluster are not discovered and are added manually. ## Managed mode is required Database monitoring folds into the generated configuration, so it needs the agent in **managed mode**. On Kubernetes, database monitoring is a "Configure databases" action on the agent, and it prompts you to switch to managed mode if the agent is still in manual mode. See the [configuration model](../../concepts/config-model/). -## Connection coverages only +## Available coverages -On Kubernetes, the connection-based coverages are available (standard metrics, query performance, locks, and query logs). The file-based log coverages (server logs, stderr logs, and slow logs) are hidden, because the cluster collector scrapes databases remotely and cannot read another pod's log files. See [Engines and coverages](../engines-and-coverages/). +On Kubernetes, the agent collects database metrics and query coverages: standard metrics, query performance, locks, and query logs. Database log coverages are available on a virtual machine, not on Kubernetes. See [Engines and coverages](../engines-and-coverages/). ## Provide credentials with a Kubernetes Secret diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx index 421dab9c..3d1c2f0e 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx @@ -1,26 +1,24 @@ --- title: "Database monitoring on a VM" -description: "How the KloudMate agent monitors databases on a Linux or Windows host, including endpoint canonicalization and file-based log coverages." +description: "How the KloudMate agent monitors databases on a Linux or Windows host, covering databases on the host and reachable remote databases." sidebar: order: 3 --- import { Steps, LinkCard, CardGrid } from '@astrojs/starlight/components'; -On a virtual machine, the agent monitors databases running on the host or reachable from it. Because the agent runs on the same host, it can collect both connection-based coverages and file-based log coverages. For the general flow, see the [Database monitoring overview](../overview/). +On a virtual machine, the agent monitors databases running on the host or reachable from it. For the general flow, see the [Database monitoring overview](../overview/). ## What you can monitor - **Databases on the host:** a database listening on the host is discovered and prefilled in the wizard. - **Reachable remote databases:** you can also monitor a database on another host by entering its endpoint and credentials in the wizard. -Both connection-based and file-based coverages are available on a virtual machine, because the agent can reach the database's log files as well as its network endpoint. See [Engines and coverages](../engines-and-coverages/). +On a virtual machine you can collect the full set of coverages, including database logs. See [Engines and coverages](../engines-and-coverages/). -## Endpoint canonicalization +## How local databases are identified -A database on the host often listens on a loopback address such as `localhost` or `127.0.0.1`, but loopback addresses are not unique across your fleet. To make database telemetry join correctly across signals, the agent stamps a **canonical, routable address** on the database's metrics: it resolves a loopback endpoint to the host's routable, non-loopback address. - -This matters because your applications, the eBPF baseline, and the database receivers can each report the same database under a different address (a socket path, `localhost`, or the host's IP). The agent normalizes them to the canonical address so the server-side metrics line up with the query spans that hit that database. See [Telemetry identity](../../reference/telemetry-identity/) for how to build dashboards on the database's server address. +A database on the host often listens on `localhost`, which is not unique across your servers. So that its metrics and traces line up, the agent identifies the database by the host's routable address instead. Your applications and the agent may each refer to the same database in a different way, and the agent keeps them consistent. See [Telemetry identity](../../reference/telemetry-identity/) for how to build dashboards on a database's server address. ## Set up monitoring diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx index 46b296b6..d6ae5999 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx @@ -1,42 +1,42 @@ --- title: "Database monitoring overview" -description: "How the KloudMate agent monitors databases with server-side receivers and eBPF wire-side spans, driven by a discovery-led wizard." +description: "How the KloudMate agent monitors your databases: automatic query visibility from eBPF plus opt-in health metrics, query performance, and logs." sidebar: order: 1 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Database monitoring gives you a complete picture of your databases from two complementary angles, and it wires the collection up for you through a wizard instead of hand-written configuration. In the [layered model](../../concepts/layered-instrumentation/), this is Layer 4, and it works alongside the eBPF baseline at Layer 2. +Database monitoring gives you a full picture of your databases, and the agent sets up the collection for you through a wizard instead of hand-written configuration. In the [layered model](../../concepts/layered-instrumentation/), this is Layer 4, and it works alongside the eBPF baseline at Layer 2. -## Two complementary views +## Two views of your databases -The agent sees your databases in two ways that compose rather than overlap: +The agent shows your databases in two ways that work together: -- **Wire-side, from eBPF (automatic, no credentials):** Database Activity Monitoring (DAM) parses database queries off the network and emits per-query client spans (query, operation, and latency) for the queries your applications issue. These spans are stitched into your distributed traces and the application-to-database edge on the service map. This is the **application-to-database activity view**, and it is on by default. See [eBPF observability](../../ebpf-observability/). -- **Server-side, from receivers (opt-in, credentials required):** database receivers connect to the engine and read what eBPF structurally cannot see: server health and capacity (connections, cache hit ratio, replication lag, buffers, and table and index statistics), server-side internals (top queries, locks and blocking, deadlocks), and database logs. This is the **database server view**. +- **From eBPF, automatically and with no credentials.** Database Activity Monitoring (DAM) shows the queries your applications run against the database, with their timing, as part of your distributed traces and the service map. This turns on by default. See [eBPF observability](../../ebpf-observability/). +- **From the database, when you opt in.** Database monitoring reads the database's own health metrics (connections, cache hit ratio, replication lag, and more), query performance, and logs. This needs a monitoring user's credentials. -The two views join on a shared database identity, so a slow query span from eBPF lines up with the server's locks, cache, and replication metrics for the same database instance. See [Telemetry identity](../../reference/telemetry-identity/). +The two views line up on a shared database identity, so a slow query you see in a trace matches the server's health metrics for the same database. See [Telemetry identity](../../reference/telemetry-identity/). -## Profiles and coverages +## Coverages -The server-side view is organized into **coverages**. A coverage is a unit of collection for one engine, such as standard metrics, query performance, locks, or query logs. Under the hood, each coverage is a bundled **profile** that the agent compiles into the right receiver configuration (a native database receiver, a SQL query receiver, or a log file receiver). You choose coverages; the agent assembles the configuration. See [Engines and coverages](../engines-and-coverages/). +You choose what to monitor for a database as a set of **coverages**, such as standard metrics, query performance, locks, or logs. You pick the coverages you want, and the agent sets up the collection. See [Engines and coverages](../engines-and-coverages/) for what each engine supports. -## The discovery-led wizard +## The wizard -You set up monitoring for a database through a wizard, usually starting from a database the agent already discovered: +You set up monitoring for a database through a wizard, usually starting from a database the agent already found: -1. **Pick the engine.** The agent lists discovered databases, so the engine and endpoint are often prefilled. -2. **Choose coverages.** Toggle the coverage areas you want, such as standard metrics, query performance, or locks. -3. **Provide credentials.** Enter the monitoring user and its secret, defaulting to an environment reference so the secret never leaves the host. See [Database credentials](../credentials/). -4. **Follow the setup steps.** The wizard shows the exact grants and prerequisites each coverage needs (for example, `GRANT pg_monitor` or creating an extension), ready to copy. -5. **Review and apply.** The wizard previews the generated configuration, and on save the agent compiles and applies it. +1. **Pick the engine.** The agent lists databases it discovered, so the engine and endpoint are often prefilled. +2. **Choose coverages.** Turn on the coverage areas you want, such as standard metrics, query performance, or locks. +3. **Provide credentials.** Enter the monitoring user and its secret. By default the secret is stored as a reference and never leaves the host. See [Database credentials](../credentials/). +4. **Follow the setup steps.** The wizard shows the exact grants and prerequisites each coverage needs, ready to copy. +5. **Review and apply.** The wizard previews what will be collected, and on save the agent starts collecting. TODO(screenshot): the database monitoring wizard showing engine selection, coverage toggles, and the credential mode. -## Safe by construction +## Safe to apply -The agent validates the compiled configuration before it applies it, so a bad database setting never crashes the collector or stops your other telemetry. Each database is isolated, so one misconfigured instance does not affect the others. +The agent checks the setup before it applies it, so a bad database setting does not affect your other telemetry. Each database is handled on its own, so one misconfigured database does not affect the others. ## Where to run it diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index e96a9713..06c9c908 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -9,7 +9,7 @@ import { LinkCard, CardGrid } from '@astrojs/starlight/components'; Extended Berkeley Packet Filter (eBPF) lets the KloudMate agent observe your applications directly from the Linux kernel. You get deep visibility into network traffic, database queries, and application performance **without changing a single line of code or installing SDKs**. -In agent v2, eBPF is part of the automatic baseline. On a managed-mode agent it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map the moment the agent is running. This page explains what it collects, the kernel requirements, how it degrades gracefully, and how to tune it. In the [layered model](../concepts/layered-instrumentation/), this is Layer 2. +eBPF is part of the agent's automatic baseline. On a managed-mode agent it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map as soon as the agent is running. This page covers what it collects, the kernel requirements, how it degrades gracefully, and how to tune it. In the [layered model](../concepts/layered-instrumentation/), this is Layer 2. ## What eBPF collects diff --git a/src/content/docs/docs/kloudmate-agent/images/agent-v2-benefits.svg b/src/content/docs/docs/kloudmate-agent/images/agent-v2-benefits.svg deleted file mode 100644 index 45ef6a18..00000000 --- a/src/content/docs/docs/kloudmate-agent/images/agent-v2-benefits.svg +++ /dev/null @@ -1,96 +0,0 @@ - - KloudMate agent v2 — features and benefits - Install one agent for full-stack monitoring with no code changes: fast setup, automatic app tracing, a unified view of apps, databases, infrastructure, network and cloud, database insights, self-healing reliability, and it runs anywhere. - - - - - - KloudMate agent · v2 - - Install once. See everything. - Change nothing. - - A lightweight agent gives you full-stack monitoring across your apps, - databases, servers and network — with no code changes or per-app setup. - - - - Applications - - Databases - - Infrastructure - - Network - - Any cloud - - - - - - - Up and running in minutes - Install the agent — it finds - your apps, databases and servers. - - - - - - - No code changes - Apps trace themselves across - Java, Node, Python, .NET, PHP. - - - - - - - Your whole stack, one view - Apps, databases, servers and - network, together in one place. - - - - - - - - Database insight made easy - Find slow queries, locks and - health across Postgres, MySQL. - - - - - - - Monitoring you can trust - The agent watches its own - health and recovers itself. - - - - - - - Runs anywhere you do - VMs, containers, Kubernetes - and every major cloud. - - - - - - Find issues faster - - No blind spots - - Less setup, lower effort - - - Less time instrumenting. More time shipping. - diff --git a/src/content/docs/docs/kloudmate-agent/index.mdx b/src/content/docs/docs/kloudmate-agent/index.mdx index 27ebe64d..385029aa 100644 --- a/src/content/docs/docs/kloudmate-agent/index.mdx +++ b/src/content/docs/docs/kloudmate-agent/index.mdx @@ -8,43 +8,28 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The **KloudMate Agent** is a single program that you install on your servers, containers, or clusters. It follows an "install once, instrument everything" model: as soon as it is running, it discovers what you run, starts collecting host metrics and logs, and turns on kernel-level observability. From there, you opt in to deeper application tracing one service at a time, all from the KloudMate web interface. +The **KloudMate Agent** is a single program that you install on your servers, containers, or clusters. Once it is running, it finds what you run, starts collecting host metrics and logs, and turns on kernel-level observability. From there, you can add deeper application tracing one service at a time, all from the KloudMate web interface. -Under the hood, the agent runs an enhanced build of the industry-standard **OpenTelemetry (OTel) Collector**. We bundle a curated set of components tuned for simple deployment, remote configuration, and **extended Berkeley Packet Filter (eBPF)** kernel-level observability. You never have to hand-write collector configuration to get started. - -![Benefits of the KloudMate agent: zero-config baseline, opt-in application tracing, and one agent per host or cluster.](./images/agent-v2-benefits.svg) +The agent is built on the **OpenTelemetry (OTel) Collector** and ships with a curated set of components, so you get simple deployment, remote configuration, and **extended Berkeley Packet Filter (eBPF)** observability without writing collector configuration. ## How the agent works -The agent has two halves that work together: - -- **Control plane** (the KloudMate backend and web interface): stores what each agent should collect, generates the collector configuration, and shows you the discovered inventory and telemetry. -- **Data plane** (the agent on your host): runs the embedded OTel Collector, discovers services, applies instrumentation, and exports telemetry to KloudMate. - -The agent periodically checks in with KloudMate to report what it found and to receive its generated configuration. When you change a setting in the web interface, the agent picks up the new configuration on its next check-in and safely restarts the underlying collector for you. You do not need Secure Shell (SSH) access or local file edits to reconfigure an agent. - -Each agent is uniquely identifiable, so you can track its health and status from your KloudMate dashboards. To go deeper, read [Architecture](concepts/architecture/) and the [Configuration model](concepts/config-model/). - -## The layered instrumentation model +You install the agent once and manage it from the KloudMate web interface. When you change a setting, the agent picks it up and applies it for you, so you do not need Secure Shell (SSH) access or local file edits. Each agent is uniquely identifiable, so you can track its health and status from your dashboards. -The agent collects telemetry in layers. The lower layers are automatic and carry no risk to your applications. The upper layers require a process restart, so you turn them on per service when you are ready. - -- **L0 Discovery:** builds a live inventory of the services, runtimes, and databases running on each host or cluster, and powers the "instrument this?" prompts in the web interface. -- **L1 Host metrics and logs:** collects host metrics and system logs automatically after install. -- **L2 eBPF baseline:** turns on by default (kernel permitting) to produce Rate, Errors, and Duration (RED) metrics, a network service map, Database Activity Monitoring (DAM), and trace-context propagation, with no code changes. -- **L3 Application APM:** opt-in per service. Attaches OpenTelemetry auto-instrumentation to Java, Node.js, Python, and .NET applications for full distributed traces. -- **L4 Databases and middleware:** wires up server-side database receivers (PostgreSQL, MySQL, and more) to complement the wire-side view from eBPF. -- **L5 Legacy application traces:** brings route-level tracing to PHP 7 applications, which have no native OpenTelemetry path. - -Read [The layered instrumentation model](concepts/layered-instrumentation/) for what each layer emits and how they fit together. +To go deeper, read [Architecture](concepts/architecture/) and the [Configuration model](concepts/config-model/). ## What the agent collects +The agent collects telemetry in layers. The lower layers are automatic. The upper layers need a process restart, so you turn them on per service when you are ready. + +- **Discovery:** a live inventory of the services, runtimes, and databases running on each host or cluster. - **Host metrics and logs:** CPU, memory, disk, and network metrics plus system and application logs, with no configuration. -- **eBPF-powered observability:** zero-code visibility into application, network, and database traffic straight from the Linux kernel. -- **Database Activity Monitoring (DAM):** wire-side capture of SQL operations, latency, and throughput for engines such as MySQL, PostgreSQL, Redis, and Kafka. -- **Application performance monitoring (APM):** opt-in distributed tracing for Java, Node.js, Python, .NET, and PHP 7 services. -- **Agent self-health:** out-of-band liveness metrics and error logs so you can see the agent's own status without logging in to the host. +- **eBPF baseline:** Rate, Errors, and Duration (RED) metrics, a network service map, Database Activity Monitoring (DAM), and trace-context propagation, with no code changes. +- **Application performance monitoring (APM):** distributed traces for Java, Node.js, Python, .NET, and PHP applications, added per service. +- **Database monitoring:** health metrics, query performance, and logs for your databases. +- **Agent health:** the agent's own status and error logs, so you can see how it is doing. + +Read [The layered instrumentation model](concepts/layered-instrumentation/) for what each layer gives you. ## Supported platforms @@ -56,13 +41,13 @@ The agent runs across four deployment modes. Not every capability applies to eve | Host metrics and logs | Yes | Yes | Yes | Yes | | eBPF baseline (RED, service map, DAM) | Yes | Not applicable | Yes | Yes | | Application APM (Java, Node.js, Python, .NET) | Yes | Yes | Yes | Rolling out | -| Application APM (PHP 7) | Yes | Not applicable | Not applicable | Rolling out | -| Database monitoring (receivers) | Yes | Yes | Yes | Yes | +| Application APM (PHP) | Yes | Not applicable | Not applicable | Rolling out | +| Database monitoring | Yes | Yes | Yes | Yes | | Web server monitoring (nginx, Apache) | Yes | Not applicable | Yes | Yes | | Agent health and self-logs | Yes | Yes | Yes | Yes | :::note -On Linux, the eBPF baseline needs kernel 4.14 or newer, and unlocks richer capabilities on 5.8 and above. On Docker, host metrics, logs, and the eBPF baseline work today; per-container application injection is being rolled out. See [Docker platform notes](platform-notes/docker/) for the current coverage. +On Linux, the eBPF baseline needs kernel 4.14 or newer, and unlocks more on 5.8 and above. On Docker, host metrics, logs, and the eBPF baseline work today; per-container application tracing is being rolled out. See [Docker platform notes](platform-notes/docker/). ::: ## Install the agent @@ -77,10 +62,10 @@ On Linux, the eBPF baseline needs kernel 4.14 or newer, and unlocks richer capab ## Learn the concepts - - - - + + + + ## Future support diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index 9ae2c999..87edcaa3 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -58,7 +58,7 @@ From the KloudMate platform, you can update the collector configuration associat Each agent runs in one of two configuration modes: - **Managed mode** (the default for new agents): KloudMate generates the collector configuration from the features and integrations you toggle, and the YAML editor shows a read-only preview. This is the recommended way to configure an agent. -- **Manual mode:** you own the raw YAML, and the feature toggles are disabled. This is the advanced escape hatch for hand-tuned setups. +- **Manual mode:** you own the raw YAML, and the feature toggles are disabled. This is for advanced, hand-tuned setups. You can switch an agent between modes. Switching from manual to managed replaces the hand-edited YAML with generated configuration, so review the change first. For the full model, see the [configuration model](../concepts/config-model/). diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx index 9e15a157..9ed1b1a9 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -11,7 +11,7 @@ This page is the deep reference for how the agent runs in Docker mode. For insta ## What works today, with no injection -Running in Docker mode, the agent already gives your containers full golden-signal coverage without touching them: +Running in Docker mode, the agent already covers your containers without touching them: - **Infrastructure, metrics, and logs:** host and container metrics and container logs, from the containerized collector. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). - **eBPF baseline:** because the extended Berkeley Packet Filter (eBPF) runs in the host kernel, which containers share, it sees container processes and traffic transparently. You get Rate, Errors, and Duration (RED) metrics, the service map, and Database Activity Monitoring across your containers with no code changes and no injection. See [eBPF observability](../../ebpf-observability/). diff --git a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx index 33036a51..c81c4f78 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx @@ -11,15 +11,15 @@ This page summarizes the load-bearing design decisions behind the agent and what ## Opt-in, per-service instrumentation -Rather than instrumenting every process on a host at once, the agent instruments one service at a time, when you choose to. This keeps the blast radius of any change small: a problem with one service's instrumentation never affects the others. The always-on eBPF baseline still gives you broad coverage from the moment the agent is installed, so you get immediate value without a system-wide change. See [Application APM overview](../../auto-instrumentation/overview/). +Rather than instrumenting every process on a host at once, the agent instruments one service at a time, when you choose to. So a problem with one service's instrumentation never affects the others. The eBPF baseline still gives you broad coverage as soon as the agent is installed, so you get value without a system-wide change. See [Application APM overview](../../auto-instrumentation/overview/). ## Reuse the OpenTelemetry ecosystem -The agent uses the standard OpenTelemetry (OTel) language agents for Java, Node.js, Python, and .NET, activated through the standard injection environment for each runtime. It does not use a custom loader. The language agents ship inside the KloudMate agent package, versioned with it, so they upgrade together and work in air-gapped environments. See [Linux (systemd)](../../auto-instrumentation/linux-systemd/). +The agent uses the standard OpenTelemetry (OTel) language agents for Java, Node.js, Python, and .NET, activated through the standard injection environment for each runtime. It does not use a custom loader. The language agents ship inside the KloudMate agent package, versioned with it, so they upgrade together and need no separate download. See [Linux (systemd)](../../auto-instrumentation/linux-systemd/). ## Generated configuration, not a hand-edited blob -Configuration is generated from a structured set of features and integrations rather than hand-edited YAML. This is what makes it safe to turn a feature on or off from the interface, and it produces deterministic output so the agent does not restart the collector needlessly. The raw YAML editor remains an advanced escape hatch. See the [configuration model](../../concepts/config-model/). +Configuration is generated from a structured set of features and integrations rather than hand-edited YAML. This is what makes it safe to turn a feature on or off from the interface, and it avoids restarting the collector when nothing really changed. The raw YAML editor remains available for advanced setups. See the [configuration model](../../concepts/config-model/). ## PHP through a version-gated tracer @@ -27,7 +27,7 @@ PHP 7 has no native OpenTelemetry path, so the agent uses a dd-trace based trace ## eBPF on by default, gated by capability -The eBPF baseline is enabled by default rather than opt-in, because it delivers the core "install once, see everything" value with no configuration. It is gated by the host's kernel and privileges, and degrades gracefully where it is not supported, so the host still gets metrics and logs. See [eBPF observability](../../ebpf-observability/). +The eBPF baseline is enabled by default rather than opt-in, because it gives you broad visibility with no configuration. It is gated by the host's kernel and privileges, and degrades gracefully where it is not supported, so the host still gets metrics and logs. See [eBPF observability](../../ebpf-observability/). ## One protocol for every mode diff --git a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx index 0fad3a95..8508005e 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx @@ -13,7 +13,7 @@ Definitions of the terms used across the agent documentation. **Coverage.** A unit of database collection for one engine, such as standard metrics, query performance, locks, or query logs. You select coverages, and the agent compiles them into receiver configuration. See [Engines and coverages](../../database-monitoring/engines-and-coverages/). -**Database Activity Monitoring (DAM).** The eBPF baseline's wire-side view of database queries: it parses queries off the network and emits per-query spans, with no credentials. See [eBPF observability](../../ebpf-observability/). +**Database Activity Monitoring (DAM).** The eBPF view of the database queries your applications run, captured automatically with no credentials. See [eBPF observability](../../ebpf-observability/). **Drop-in.** A small systemd configuration file the agent writes under a unit's directory to set the instrumentation environment for that one service on Linux. See [Linux (systemd)](../../auto-instrumentation/linux-systemd/). @@ -25,7 +25,7 @@ Definitions of the terms used across the agent documentation. **Managed mode.** A configuration mode in which KloudMate generates the collector configuration from your enabled integrations, and the YAML editor is a read-only preview. Contrast manual mode. See the [configuration model](../../concepts/config-model/). -**Manual mode.** A configuration mode in which you own the raw collector YAML and the feature toggles are disabled. The advanced escape hatch. See the [configuration model](../../concepts/config-model/). +**Manual mode.** A configuration mode in which you own the raw collector YAML and the feature toggles are disabled. For advanced, hand-tuned setups. See the [configuration model](../../concepts/config-model/). **Pipeline.** A path through the collector for one signal (metrics, traces, or logs), made of receivers, processors, and exporters. @@ -33,7 +33,7 @@ Definitions of the terms used across the agent documentation. **Profiler (CLR profiler).** The Common Language Runtime profiler used to instrument .NET applications on Windows without code changes. See [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/). -**RED metrics.** Rate, Errors, and Duration: the golden-signal metrics the eBPF baseline produces per service, with no instrumentation. +**RED metrics.** Rate, Errors, and Duration: the key metrics the eBPF baseline produces for each service, with no instrumentation. **Receiver.** A collector component that collects telemetry from a source, such as `hostmetrics`, `filelog`, or a database receiver like `postgresql`. diff --git a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx index 5eded441..547c1f91 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx @@ -34,9 +34,9 @@ The agent also stamps a per-instance **`service.name`** of the form ` - + diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx index 9b13adcb..fd3b4ac2 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx @@ -9,9 +9,9 @@ import { LinkCard, CardGrid } from '@astrojs/starlight/components'; The agent reports on its own health so you can tell whether it is alive and whether its collector is running, without logging in to the host. These liveness metrics are reported **out-of-band**, on a path that does not go through the collector, so they keep arriving even when the collector is down. -## Why out-of-band +## Why they are reported separately -The agent runs its OpenTelemetry (OTel) Collector in-process. If the collector fails, it cannot report anything, including the fact that it died: you cannot report your own death through the thing that died. To solve this, the agent runs a small health reporter beside the collector that pushes a set of `kmagent.*` metrics directly to KloudMate. Because this path bypasses the collector, it survives a collector outage and is the signal that tells you the collector is down. +If the collector stops, it cannot send anything, including a report that it stopped. To avoid that blind spot, the agent reports its `kmagent.*` metrics itself, on a separate path from the collector. They keep arriving even when the collector is down, which is how you find out the collector is down. ## The metric catalog From fa48628221f7d0b2b156ab1dc3f94e1ff973d0b7 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Thu, 9 Jul 2026 13:10:33 +0530 Subject: [PATCH 08/39] webhook update doc --- .../advanced-configuration.mdx | 2 +- .../baseline/host-metrics-and-logs.mdx | 4 +- .../kloudmate-agent/concepts/config-model.mdx | 10 +- .../docs/docs/kloudmate-agent/index.mdx | 3 +- .../installation/docker-agent.mdx | 13 +- .../installation/linux-agent.mdx | 13 +- .../installation/windows-agent.mdx | 13 +- .../docs/kloudmate-agent/log-monitoring.mdx | 139 ++++++++++++++++++ .../docs/docs/kloudmate-agent/management.mdx | 12 +- .../kloudmate-agent/platform-notes/_meta.json | 2 +- .../platform-notes/kubernetes.mdx | 1 + .../docs/kloudmate-agent/reference/_meta.json | 2 +- .../self-observability/_meta.json | 2 +- .../docs/kloudmate-agent/troubleshooting.mdx | 2 +- 14 files changed, 172 insertions(+), 46 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/log-monitoring.mdx diff --git a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx index 9a3eb863..7c4979ec 100644 --- a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx +++ b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx @@ -2,7 +2,7 @@ title: "Advanced configuration" description: "Manual YAML, custom receivers, sampling, overhead tuning, autonomous instrumentation, self-telemetry, and credential rotation for the KloudMate agent." sidebar: - order: 12 + order: 13 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; diff --git a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx index 554dba9d..2840fc07 100644 --- a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx +++ b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx @@ -18,7 +18,7 @@ What the agent collects depends on the deployment mode, because each platform ex - **Host metrics:** CPU, memory, disk, network, and process metrics. - **System logs:** the systemd journal. -- **File logs:** log files you point the agent at. +- **File logs:** application log files you point the agent at with [log monitoring](../../log-monitoring/). @@ -58,7 +58,7 @@ The host baseline feeds the infrastructure and log views in KloudMate: ## Collecting custom application logs -By default the agent collects system logs. To add your own log files, configure the file log receiver with the paths and parsing rules you need. See [Collect file logs with KloudMate Agent](../../../logs/collect-file-logs/), which covers adding custom log paths, enabling multiline parsing, and validating logs in Log Explorer. +The baseline collects system logs, not arbitrary application log **files**. To add your own log files, use [log monitoring](../../log-monitoring/): you point the agent at a folder and file-name pattern and choose how to parse each line, then preview the result before you save. Multiline grouping, for stack traces or pretty-printed JSON, is a modifier you apply on top of any format. For a hand-written receiver in manual mode, see [Collect file logs](../../../logs/collect-file-logs/). ## Relationship to the other layers diff --git a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx index 81db292f..7bf3521d 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx @@ -1,6 +1,6 @@ --- title: "Configuration model" -description: "How the KloudMate agent turns feature and integration toggles into collector configuration, and how managed and manual modes, history, and credentials work." +description: "How the KloudMate agent turns feature and integration toggles into collector configuration, and how managed and manual modes and credentials work." sidebar: order: 4 --- @@ -40,9 +40,11 @@ TODO(screenshot): the managed/manual mode toggle and the integrations panel in A The same set of enabled integrations always produces the same configuration. So turning features on and off, or making a change that does not really alter anything, does not cause the agent to restart the collector for no reason. -## Configuration history and rollback +## Rolling back a change -KloudMate keeps the last several generated configurations for each agent. You can review the history and roll back to an earlier configuration by selecting it, which is useful for auditing changes and recovering from a bad edit. +A managed configuration is not kept as a history you roll back to, because it does not need to be. It is generated deterministically from your enabled integrations and feature toggles, and validated before it is applied, so it is always reproducible. To undo a managed change, flip the toggle back and KloudMate regenerates the earlier configuration. There is no separate history list or rollback button. + +The one configuration KloudMate does preserve is a **manual** one: when you switch an agent from manual to managed mode, it snapshots the hand-edited configuration first, so switching never loses your manual edits. ## Credentials @@ -58,7 +60,7 @@ Environment reference is the recommended default, and it also makes credential r When an agent is upgraded, it defaults to **manual** mode so nothing changes unexpectedly: it keeps serving the configuration it had. To adopt the structured model, you switch the agent to **managed** mode, which seeds its integrations from a sensible default profile plus anything discovery has found. New agents start in managed mode with the default profile of host metrics, logs, and the eBPF baseline. :::caution -Switching an agent from manual to managed mode replaces its hand-edited YAML with generated configuration. A snapshot of the previous configuration is kept in the configuration history, but review the change before you switch a production agent. +Switching an agent from manual to managed mode replaces its hand-edited YAML with generated configuration. KloudMate snapshots the previous manual configuration when you switch, so it is not lost, but review the change before you switch a production agent. ::: ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/index.mdx b/src/content/docs/docs/kloudmate-agent/index.mdx index 385029aa..0a556ae8 100644 --- a/src/content/docs/docs/kloudmate-agent/index.mdx +++ b/src/content/docs/docs/kloudmate-agent/index.mdx @@ -44,6 +44,7 @@ The agent runs across four deployment modes. Not every capability applies to eve | Application APM (PHP) | Yes | Not applicable | Not applicable | Rolling out | | Database monitoring | Yes | Yes | Yes | Yes | | Web server monitoring (nginx, Apache) | Yes | Not applicable | Yes | Yes | +| Log monitoring (custom log files) | Yes | Yes | Not applicable | Yes | | Agent health and self-logs | Yes | Yes | Yes | Yes | :::note @@ -65,7 +66,7 @@ On Linux, the eBPF baseline needs kernel 4.14 or newer, and unlocks more on 5.8 - + ## Future support diff --git a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx index bf3d7c54..3aa253ef 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx @@ -74,18 +74,11 @@ View all collected data in these KloudMate sections: ## **Log Integration** -By default, the KloudMate Agent collects basic system logs. +By default, the KloudMate Agent collects host and container logs. -To configure custom application logs and enable file-based log monitoring, refer to: +To collect application log **files** on the Docker host, use log monitoring: from the agent's **Logs** tab you point the agent at a folder and file-name pattern and choose how to parse each line (plain text, JSON, or a regular expression). Multiline grouping, for stack traces or pretty-printed JSON, is a modifier you apply on top of any format, and you can preview the parsed records before you save. See [Log monitoring](../../log-monitoring/). -[Collect File Logs with KloudMate Agent](../../../logs/collect-file-logs/) documentation - -This guide explains how to: - -- Configure the file log receiver -- Add custom log file paths -- Enable multiline log parsing -- Validate logs in Log Explorer +For a hand-written `filelog` receiver in manual mode, see [Collect File Logs with KloudMate Agent](../../../logs/collect-file-logs/). ## Coverage and configuration diff --git a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx index 246397e7..90b45aa1 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx @@ -73,18 +73,11 @@ View all data in these KloudMate sections: ## **Log Integration** -By default, the KloudMate Agent collects basic system logs. +By default, the KloudMate Agent collects basic system logs (the systemd journal). -To configure custom application logs and enable file-based log monitoring, refer to: +To collect your own application log **files**, use log monitoring: from the agent's **Logs** tab you point the agent at a folder and file-name pattern and choose how to parse each line (plain text, JSON, or a regular expression). Multiline grouping, for stack traces or pretty-printed JSON, is a modifier you apply on top of any format, and you can preview the parsed records before you save. See [Log monitoring](../../log-monitoring/). -[Collect File Logs with KloudMate Agent](../../../logs/collect-file-logs/) documentation - -This guide explains how to: - -- Configure the file log receiver -- Add custom log file paths -- Enable multiline log parsing -- Validate logs in Log Explorer +For a hand-written `filelog` receiver in manual mode, see [Collect File Logs with KloudMate Agent](../../../logs/collect-file-logs/). ## Configuration and next checks diff --git a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx index 29bdb1ef..817d2767 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx @@ -71,18 +71,11 @@ View all collected data in these KloudMate sections: ## **Log Integration** -By default, the KloudMate Agent collects basic system logs. +By default, the KloudMate Agent collects basic system logs (the Windows Event Log). -To configure custom application logs and enable file-based log monitoring, refer to: +To collect your own application log **files**, use log monitoring: from the agent's **Logs** tab you point the agent at a folder and file-name pattern and choose how to parse each line (plain text, JSON, or a regular expression). Multiline grouping, for stack traces or pretty-printed JSON, is a modifier you apply on top of any format, and you can preview the parsed records before you save. See [Log monitoring](../../log-monitoring/). -[Collect File Logs with KloudMate Agent](../../../logs/collect-file-logs/) documentation - -This guide explains how to: - -- Configure the file log receiver -- Add custom log file paths -- Enable multiline log parsing -- Validate logs in Log Explorer +For a hand-written `filelog` receiver in manual mode, see [Collect File Logs with KloudMate Agent](../../../logs/collect-file-logs/). ## Configuration and next checks diff --git a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx new file mode 100644 index 00000000..54dab009 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx @@ -0,0 +1,139 @@ +--- +title: "Log monitoring" +description: "Point the KloudMate agent at log files on a VM host or in Docker, parse them as plain text, JSON, or regex, and preview each record before you save." +sidebar: + order: 9 +--- + +import { Steps, Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Log monitoring is a wizard where you point the agent at log files on a host and choose how to parse them, instead of hand-writing collector configuration. You give the agent a folder and a file-name pattern, pick a parse format, and the agent turns your choices into an OpenTelemetry (OTel) `filelog` receiver on its embedded collector. It is the log sibling of [database monitoring](../database-monitoring/overview/): the same discovery-led, auto-wired style, but for log files instead of databases. + +It applies to Linux and Windows virtual machine (VM) hosts and to Docker. It is **not available on Kubernetes**, where pod and container logs are already collected for you. See [Not available on Kubernetes](#not-available-on-kubernetes) below. + +## How it fits + +Log monitoring is a managed-mode feature. You configure sources from the agent's **Configuration** page, on the **Logs** tab, and KloudMate compiles them into the agent's collector configuration along with everything else you have toggled on. See the [configuration model](../concepts/config-model/) for how managed mode works. + +- **Managed mode only.** The Logs tab is available when the agent is in managed mode. If the agent is in manual mode, the tab prompts you to switch, because log sources fold into the generated configuration. You can still add a `filelog` receiver by hand in manual mode: see [Manual configuration](#manual-configuration). +- **One receiver per source.** Each source you add compiles into its own `filelog` receiver and its own logs pipeline, so one badly configured source cannot affect the others or your host baseline logs. +- **It builds on the baseline.** The host baseline already ships system logs (the systemd journal on Linux, the Windows Event Log, container output on Docker) with no configuration. Log monitoring is for the extra application log **files** that the baseline does not pick up. See [Host metrics and logs](../baseline/host-metrics-and-logs/). + +## Add a log source + +You add each source through the wizard on the Logs tab. + + + +1. **Open the Logs tab.** Go to the agent's Configuration page and select **Logs**. The agent must be in managed mode. + +2. **Name the source.** The name identifies the source and is stamped on every record it collects (as the `km.log.source` attribute), so give it something you will recognize in the Log Explorer. + +3. **Point at the files.** Enter the **folder** and a **file-name pattern**. The wizard joins them into a single glob. For example, folder `/var/log/nginx` with pattern `*.log` becomes `/var/log/nginx/*.log`. Patterns support wildcards, including `*`, `**` for nested directories, and `{a,b}` alternatives. There is no auto-discovery of log locations: you type where the files are, and the preset catalog does the rest. + +4. **Choose how to parse.** Pick a format or an app preset. See [Choose how to parse](#choose-how-to-parse) and [App presets](#app-presets). + +5. **Stamp attributes (optional).** Add attributes such as `service.name` so these logs join the traces of the same application. The wizard suggests service names from what the agent discovered on the host. + +6. **Preview results.** Ask the agent to resolve the pattern against the real filesystem and show how your parsing turns sample lines into stored records. See [Preview before you save](#preview-before-you-save). + +7. **Save.** The agent applies the change within about a minute and starts reading new lines from the end of each matching file. + + + +TODO(screenshot): the Logs tab wizard, showing the folder and file-name pattern, the format picker, and the attributes. + +## Choose how to parse + +A source is parsed one of three ways. The format decides how a line becomes a structured record. + + + + +Each line is stored as-is, as the record body, with no field parsing. Use this when you only need the raw text searchable in the Log Explorer, or as a starting point before you add parsing. + + + + +Each line is parsed as one JSON object. You then map which fields are the **timestamp**, the **severity**, and the **message**. The timestamp and severity are lifted onto the record, the message becomes the record body, and every other field is kept as a searchable attribute. + + + + +You supply a regular expression with **named capture groups**, then map which groups are the timestamp, the severity, and the message. As with JSON, those three are lifted onto the record and the remaining named groups are kept as attributes. This is the most flexible format, and it is what the app presets are built on. + + + + +## App presets + +For common log shapes, the wizard offers presets so you do not have to write the pattern yourself: + +- **Syslog** (the classic `/var/log/syslog` format). Plain syslog lines carry no severity, so records have no level unless the message text includes one. +- **Nginx access** +- **Nginx error** (carries a level) +- **Apache access** + +Each app preset is a prefilled **Custom regex**: a ready-made regular expression, the timestamp and severity and message mapping, and the timestamp layout, all filled in for you. They are transparent, not black boxes. You can preview a preset against your own files and edit any part of it before you save. There is also a plain **JSON** preset that prefills the usual `ts`, `level`, and `msg` field names for you to adjust. + +## Combine multiline entries + +Some log entries span several lines: a stack trace, or a pretty-printed JSON object. Multiline grouping is a **modifier**, not a separate format: it is a toggle that applies on top of plain text, JSON, or regex. + +When you enable it, you tell the agent how a new entry begins with a line-start pattern ("a new entry starts with ..."), and the agent joins every following line into that entry until the next start. The wizard seeds a sensible pattern for you (a leading timestamp for text logs, an opening brace for JSON), which you can adjust. + +## Timestamps and severity + +**Timestamps.** When you map a timestamp field or group, you also tell the agent its layout: + +- **ISO 8601** or **RFC 3339** +- **Unix epoch**, in seconds or milliseconds +- A **custom layout**, written with `strptime` directives (for example, `%b %e %H:%M:%S`) + +A layout with no year, such as the classic syslog timestamp, is stamped with the current year automatically. If no timestamp is mapped or a value does not match the layout, the record falls back to the time the agent read it. + +**Severity.** Standard level names (such as `trace`, `debug`, `info`, `warn`, `error`, and `fatal`) are recognized automatically. The presets also map the syslog and nginx names: `notice` becomes info; `crit` and `critical` become error; and `alert`, `emerg`, `emergency`, and `panic` become fatal. A value that maps to no known level is left unset. + +## Preview before you save + +Before you save a source, use **Preview results**. The agent does the check against the real files on the host, so you see exactly what will happen, not a guess: + +- **Which files match.** The agent resolves your folder-and-pattern glob against the filesystem and lists the files it matched, along with any it matched but cannot read (for example, because of permissions), so a missing match is obvious rather than a silent empty result. +- **A sample of recent lines.** The agent reads a small sample of recent lines from a matching file. +- **The record KloudMate will store.** The agent applies your chosen parsing to each sample line and shows the resulting structured record: the resolved timestamp, the mapped severity, the message body, and the attributes you can filter on. + +The preview flags problems while you can still fix them: a regex that does not match a line, or a timestamp layout that a value will not parse against. Secrets that appear in the sample, such as passwords, tokens, and bearer values, are redacted on the host before the sample is sent, so they never leave the machine. + +TODO(screenshot): the Preview results panel, showing matched files and a parsed sample record. + +## How the agent reads your files + +A few details are worth knowing: + +- **New lines only.** Each source starts reading at the **end** of the file, so you get new lines from the moment it is applied. There is no historical backfill and no checkpoint file. Applying any configuration change restarts the collector and re-opens each source at the end, so a low-traffic file may show nothing until it is next written to. +- **No self-ingestion.** The agent never re-ingests its own logs, even if a broad pattern would otherwise match them. +- **Records carry their source.** Every record is stamped with the source name (`km.log.source`), and any attributes you added. Stamping `service.name` is what lets a file's logs line up with that application's traces. See [Telemetry identity](../reference/telemetry-identity/). + +## Not available on Kubernetes + +Log monitoring runs on Linux and Windows VM hosts and on Docker. It is **not available on Kubernetes**: + +- The Logs tab is hidden for Kubernetes agents, and the backend rejects log sources for them. +- On Kubernetes, pod and container logs (`stdout` and `stderr`) are already collected for you by the agent's DaemonSet as part of the [host baseline](../baseline/host-metrics-and-logs/), so a file-pointing wizard is not needed. See [Kubernetes platform notes](../platform-notes/kubernetes/). + +## Manual configuration + +The wizard covers the common cases. For anything it cannot express, switch the agent to manual mode and add a `filelog` receiver to the collector configuration by hand. See [Collect file logs](../../logs/collect-file-logs/) for the receiver configuration, and [Advanced configuration](../advanced-configuration/) for when to use manual mode. + +## Where to view your logs + +Collected logs land in the **Log Explorer**, where you can search and filter them and correlate them with your metrics and traces. See [Log Explorer](../../logs/log-explorer/). + +## Next steps + + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index 87edcaa3..833c5368 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -2,7 +2,7 @@ title: "Configuration & Management" description: "Learn how to manage, configure, and monitor your KloudMate Agents centrally from the web interface." sidebar: - order: 11 + order: 12 --- The KloudMate Agent is designed to be managed centrally from the KloudMate web UI. This means you don't need to SSH into your servers or manually edit local YAML files to update settings. Changes made in the dashboard are automatically pushed to your agents across your infrastructure. @@ -51,7 +51,11 @@ From the KloudMate platform, you can update the collector configuration associat - **Collector Configuration:** Open the web-based YAML editor to make changes to the collector settings and apply updates automatically where the agent is installed. - **APM Configuration:** Configure the applications running on your Kubernetes cluster (applicable only for Kubernetes agents). - **Restart Collector:** Restart the collector service when needed. -- **Delete:** Removes the agent from the list on the KloudMate Agent landing page. To completely remove the agent, you must also uninstall it from the source environment. +- **Delete:** Removes the agent from the KloudMate Agent landing page and clears all of its configuration. + +:::caution +Deleting an agent decommissions it. Its instrumented applications are restarted to remove their instrumentation, and its database monitoring and log monitoring stop. If the agent is still running on the host, it checks back in and reappears as a new, unconfigured agent, so to remove it for good you must also uninstall it from the host. See the [installation guides](../installation/linux-agent/) for the uninstall command. +::: ### Managed and manual mode @@ -62,9 +66,9 @@ Each agent runs in one of two configuration modes: You can switch an agent between modes. Switching from manual to managed replaces the hand-edited YAML with generated configuration, so review the change first. For the full model, see the [configuration model](../concepts/config-model/). -### Configuration history and rollback +### Rolling back a change -KloudMate keeps the recent generated configurations for each agent. If a change causes a problem, you can review the history and roll back to an earlier configuration. +Managed configuration is generated from your feature and integration toggles, so to undo a change you flip the toggle back and KloudMate regenerates the earlier configuration. There is no separate history list or rollback button, because a managed configuration is always reproducible from your selections. When you switch an agent from manual to managed mode, KloudMate snapshots the hand-edited configuration first, so switching never loses your manual edits. See the [configuration model](../concepts/config-model/). ### Common Configurations diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/_meta.json b/src/content/docs/docs/kloudmate-agent/platform-notes/_meta.json index d44f0220..841bac5e 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/_meta.json +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/_meta.json @@ -1,5 +1,5 @@ { "label": "Platform notes", - "order": 10, + "order": 11, "collapsed": true } diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx index 4263bfe8..0abe2f8e 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx @@ -49,6 +49,7 @@ Do not hand-edit the agent's ConfigMaps. In managed mode the fleet manager owns - **Application APM** uses the OpenTelemetry Operator. See [Application APM on Kubernetes](../../auto-instrumentation/kubernetes/). - **Database monitoring** runs in the Deployment collector and uses a Kubernetes Secret for credentials. See [Database monitoring on Kubernetes](../../database-monitoring/on-kubernetes/). +- **Log monitoring** (pointing the agent at custom log files) is **not available on Kubernetes**. Pod and container logs are already collected for you by the DaemonSet as part of the [host baseline](../../baseline/host-metrics-and-logs/), and the Logs tab is not offered for Kubernetes agents. See [Log monitoring](../../log-monitoring/). ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/reference/_meta.json b/src/content/docs/docs/kloudmate-agent/reference/_meta.json index f3011dde..bca3baec 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/_meta.json +++ b/src/content/docs/docs/kloudmate-agent/reference/_meta.json @@ -1,5 +1,5 @@ { "label": "Reference", - "order": 14, + "order": 15, "collapsed": true } diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/_meta.json b/src/content/docs/docs/kloudmate-agent/self-observability/_meta.json index d7c3a944..7fe357f1 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/_meta.json +++ b/src/content/docs/docs/kloudmate-agent/self-observability/_meta.json @@ -1,5 +1,5 @@ { "label": "Agent health & self-logs", - "order": 9, + "order": 10, "collapsed": true } diff --git a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx index abac906c..6f7095b2 100644 --- a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx +++ b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx @@ -2,7 +2,7 @@ title: "Troubleshooting" description: "Symptom-first troubleshooting for the KloudMate agent using self-health and self-logs, across install, metrics, traces, databases, Windows, and Kubernetes." sidebar: - order: 13 + order: 14 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; From 9e69397c17f4bebb699b0c0318355f2d164c6e64 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Fri, 10 Jul 2026 08:08:01 +0530 Subject: [PATCH 09/39] resource doc --- .../docs/docs/kloudmate-agent/management.mdx | 6 +++++ .../platform-notes/kubernetes.mdx | 25 +++++++++++++++++++ 2 files changed, 31 insertions(+) diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index 833c5368..754a0c74 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -134,6 +134,12 @@ Beyond the status shown on the landing page, each agent reports on its own healt After a configuration change, confirm it applied by checking that telemetry is still flowing and that the agent's health metrics report a clean apply. +## Resource usage + +The agent is light. On a virtual machine or host it runs as a single process and typically uses around **185 MiB of memory** and **under 2% of one CPU core**. Usage grows with the amount of telemetry it handles and the number of services it watches. + +On Kubernetes, usage is split across the per-node collector and a few cluster-wide components. See [Resource usage and sizing](../platform-notes/kubernetes/#resource-usage-and-sizing) for per-component figures and suggested CPU and memory requests and limits. + ## Updating the agent Update the agent by upgrading its package on the host or the Helm release on Kubernetes, the same way you installed it. The bundled instrumentation agents are versioned with the KloudMate agent, so they update together. See the [installation guides](../installation/linux-agent/). diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx index 0abe2f8e..982d34a2 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx @@ -45,6 +45,31 @@ The collectors read their configuration from ConfigMaps. To manage these safely: Do not hand-edit the agent's ConfigMaps. In managed mode the fleet manager owns them and will overwrite manual edits. Change configuration through KloudMate instead. See the [configuration model](../../concepts/config-model/). ::: +## Resource usage and sizing + +Typical usage per component (CPU in millicores, where 1000m is one core): + +| Component | Runs | CPU | Memory | +|---|---|---|---| +| Collector (DaemonSet) | one per node | 3 to 10m | 165 to 210 MiB | +| Collector (Deployment) | one per cluster | 12 to 16m | about 256 MiB | +| Fleet manager | one per cluster | 1 to 2m | about 11 MiB | +| Operator | one per cluster | about 2m | about 30 MiB | + +Memory grows with the volume of metrics, traces, and logs the collectors handle. CPU stays low. + +### Requests and limits + +The Helm chart ships these defaults, set above typical usage so there is headroom for real load: + +| Component | Request | Limit | +|---|---|---| +| Collector (DaemonSet) | 100m / 256Mi | 2 CPU / 1Gi | +| Collector (Deployment) | 150m / 384Mi | 2 CPU / 1Gi | +| Fleet manager | 100m / 128Mi | 500m / 512Mi | + +Raise them for very large or high-traffic clusters. + ## Related features on Kubernetes - **Application APM** uses the OpenTelemetry Operator. See [Application APM on Kubernetes](../../auto-instrumentation/kubernetes/). From d86d83cb81c226c367aae4ae13f33c0aed86d6df Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 14 Jul 2026 17:29:32 +0530 Subject: [PATCH 10/39] agent v2 doc updates --- .../docs/docs/kloudmate-agent/index.mdx | 2 +- .../installation/aws-asg-deployment.mdx | 2 +- .../installation/ecs-agent.mdx | 259 ++++++++++++++++++ ...frastructure-as-code-iaac-installation.mdx | 2 +- .../installation/windows-agent.mdx | 2 +- .../docs/docs/kloudmate-agent/management.mdx | 29 ++ ...amazon-ecs-container-logs-to-kloudmate.mdx | 4 + 7 files changed, 296 insertions(+), 4 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx diff --git a/src/content/docs/docs/kloudmate-agent/index.mdx b/src/content/docs/docs/kloudmate-agent/index.mdx index 0a556ae8..4f682f66 100644 --- a/src/content/docs/docs/kloudmate-agent/index.mdx +++ b/src/content/docs/docs/kloudmate-agent/index.mdx @@ -12,7 +12,7 @@ The **KloudMate Agent** is a single program that you install on your servers, co The agent is built on the **OpenTelemetry (OTel) Collector** and ships with a curated set of components, so you get simple deployment, remote configuration, and **extended Berkeley Packet Filter (eBPF)** observability without writing collector configuration. -## How the agent works +It is built on the **OpenTelemetry (OTel) Collector**, with a curated set of components for simplified deployment, remote configuration, and **eBPF-powered kernel-level observability**. You install the agent once and manage it from the KloudMate web interface. When you change a setting, the agent picks it up and applies it for you, so you do not need Secure Shell (SSH) access or local file edits. Each agent is uniquely identifiable, so you can track its health and status from your dashboards. diff --git a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx index b995112d..1ba3ecf6 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx @@ -2,7 +2,7 @@ title: "AWS Auto Scaling Group (ASG)" description: "Documentation for AWS ASG Deployment" sidebar: - order: 6 + order: 7 --- Deploy `kmagent` across an Auto Scaling Group with zero manual per-instance work. Configure once in the Launch Template, every instance (existing + future scale-outs) gets the agent automatically. diff --git a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx new file mode 100644 index 00000000..b57c32e6 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx @@ -0,0 +1,259 @@ +--- +title: "Amazon ECS" +description: "Install the KloudMate agent on Amazon ECS to collect APM, logs, and metrics for EC2 and Fargate workloads with a single script." +sidebar: + order: 5 +draft: true +--- + +This guide covers installing the **KloudMate agent** on Amazon ECS so your services report traces (APM), logs, and metrics, with no changes to your application code or container images. One install script covers both ECS launch types, EC2 and Fargate, and picks the right approach for each. + +If you only want to ship container logs and don't want the agent, there's a manual path using Fluent Bit and FireLens instead: see [Amazon ECS Container Logs](../../../logs/amazon-ecs-container-logs-to-kloudmate/). The agent automates that wiring and adds APM and metrics on top. + +## What the ECS Agent Monitors + +How the agent runs depends on your launch type, because EC2 and Fargate give it very different access to the underlying host. + +**EC2 launch type.** You own the container instances, so the agent runs as an ECS **daemon service**: one agent task per instance. That daemon is the collector, the telemetry gateway, and the eBPF baseline for the whole instance. It collects: + +- **Host metrics:** CPU, memory, disk, and network for each container instance +- **Container metrics:** per-container CPU, memory, network, and disk for every task on the instance +- **Container and host logs:** stdout/stderr from containers plus system logs +- **APM traces:** SDK auto-injection for Java, Node.js, Python, and .NET services; eBPF for Go, Rust, and everything else (see [How APM works](#how-apm-works) below) + +**Fargate launch type.** There's no host to run a daemon on, so the installer instruments each service you name. It rewrites the task definition to add a collector sidecar, and, for SDK runtimes, stages the OpenTelemetry SDKs and routes the application's logs. Each instrumented task reports: + +- **APM traces:** OpenTelemetry SDK injection for Java, Node.js, Python, and .NET +- **Task metrics:** CPU, memory, network, and disk for the task's containers +- **Application logs:** the app's stdout/stderr, forwarded through FireLens to the collector + +### How APM works + +APM is **language-aware**, and the runtime decides how a service gets traced: + +| Runtime | EC2 | Fargate | +|---|---|---| +| Java, Node.js, Python, .NET | SDK auto-injection (richer traces) | SDK auto-injection (richer traces) | +| Go, Rust, and others | eBPF baseline on the daemon | Logs and metrics only, no traces | + +For **Java, Node.js, Python, and .NET**, the installer injects the OpenTelemetry SDK, which produces richer traces (framework spans, database statements). On EC2 it rewrites those services' task definitions to export to the daemon on the instance; on Fargate it adds the SDK plus a collector sidecar to the task. + +For **Go, Rust, and other runtimes**, there's no SDK to inject. On EC2 the daemon's eBPF picks them up automatically, with no task-definition change. On Fargate, which can't run eBPF, those services still get logs and metrics, but no traces. + +:::note + So a Go service gets full traces on EC2 but logs-and-metrics-only on Fargate. If APM matters for a non-SDK runtime, run it on EC2. +::: + +## Accessing Your Data + +View all collected data in these KloudMate sections: + +**1. Infrastructure Monitoring** + +- Monitor container-instance metrics (CPU, memory, disk, network) on EC2 +- See running containers and tasks and their resource usage +- Track availability and uptime across the cluster + +[Infrastructure Monitoring](../../../infrastructure/) + +**2. APM & Tracing** + +- Follow requests across your instrumented services +- Break down latency, throughput, and error rates per service + +[APM & Tracing](../../../apm-and-tracing/) + +**3. Dashboards** + +- Build custom dashboards for your ECS services, tasks, or cluster + +[Creating a Dashboard](../../../visualize-data/dashboards/) + +**4. Log Explorer** + +- Search logs per container, task, or service +- Filter by container name, severity, or timestamp +- Correlate logs with traces and metrics to troubleshoot + +[Log Explorer](../../../logs/log-explorer/) + +## Pre-requisites + +The install script is a control-plane orchestrator: you run it once from any machine that has AWS credentials for your account (your laptop, a CI job, or AWS CloudShell). It drives the ECS API and does **not** run on your container hosts. + +Before you start, make sure you have: + +- **AWS credentials** for the account and region that hold your cluster, with permission to register task definitions and update services +- The **AWS CLI** and **jq** on the machine you run the script from +- An **ECS cluster** already running your workloads + +Instrumenting a service (every Fargate install, and any EC2 install that names services) runs a task-definition injection step. That step needs either **Docker**, which runs the agent's ECS image, or a native `kmagent` binary set through `KM_AGENT_BIN`. A daemon-only EC2 install needs neither. + +:::note + The commands below are for reference. Log in to KloudMate and copy your account-specific command, which already has your API key filled in. +::: + +## Install Agent + +**Step 1:** Go to **Settings → Agents** in your KloudMate account. + +**Step 2:** Select **Amazon ECS** from the list of available integrations. + +**Step 3:** Copy the command for your launch type and run it from a machine with AWS credentials. + +:::note + Screenshot placeholder: the in-product Amazon ECS install flow is still being built, so the real screenshots for Steps 1 to 3 aren't available yet. Add them under `installation/images/` once the flow ships. +::: + +### EC2 launch type + +This registers a daemon task definition and a daemon service, so one agent task runs on every container instance. List your Java/Node/Python/.NET services in `KM_ECS_SERVICES` to SDK-instrument them at the same time: + +```bash +KM_API_KEY="YOUR_API_KEY" \ +KM_COLLECTOR_ENDPOINT="https://otel.kloudmate.com:4318" \ +KM_ECS_CLUSTER=your-cluster \ +KM_ECS_LAUNCH_TYPE=ec2 \ +KM_ECS_SERVICES=web,orders \ + bash -c "$(curl -fsSL https://cdn.kloudmate.com/scripts/install_ecs.sh)" +``` + +`KM_ECS_SERVICES` is optional on EC2. Omit it to deploy just the daemon: Go and other non-SDK services are picked up by eBPF automatically, and only Java/Node/Python/.NET services need the per-service task-definition rewrite for SDK traces. The daemon's eBPF stands down for any service you SDK-instrument, so you never get duplicate traces. + +eBPF needs a privileged task with host PID and network access, which the daemon task definition already requests. + +:::caution + If your organization forbids privileged ECS tasks, the eBPF baseline won't run: set `KM_EBPF_ENABLED=false`. SDK-instrumented services (Java/Node/Python/.NET) still get full APM, but Go and other runtimes won't be traced. You still get host metrics, container metrics, and logs. +::: + +The EC2 instances also need their instance role to allow pulling images and writing logs. The AWS-managed `AmazonEC2ContainerServiceforEC2Role` policy covers it; a missing role shows up as image-pull failures on the agent tasks. + +### Fargate launch type + +This instruments each service you list, then rolls it onto a new task-definition revision: + +```bash +KM_API_KEY="YOUR_API_KEY" \ +KM_COLLECTOR_ENDPOINT="https://otel.kloudmate.com:4318" \ +KM_ECS_CLUSTER=your-cluster \ +KM_ECS_LAUNCH_TYPE=fargate \ +KM_ECS_SERVICES=web,orders \ + bash -c "$(curl -fsSL https://cdn.kloudmate.com/scripts/install_ecs.sh)" -- --yes +``` + +`KM_ECS_SERVICES` is required on Fargate. The `-- --yes` at the end skips the per-service confirmation prompt; drop it if you'd rather approve each service before it's rolled onto the new revision. Because all containers in a Fargate `awsvpc` task share `localhost`, the injected SDK sends telemetry to `localhost:4318`, where the collector sidecar receives it. + +:::tip + Add `-- --dry-run` to print the rewritten task definition without registering it or touching your services. Use it to review what the injector changes before you apply it. +::: + +:::caution + **The injector adds sidecars but never resizes the task.** Fargate CPU and memory come from a fixed allow-list, so silently bumping them would change your cost and scheduling. If a task is sized for the app alone, raise its CPU/memory by roughly **+256 CPU / +512 MB** before instrumenting, or the task may be throttled or OOM-killed. The injector prints this reminder for each service. +::: + +The bundled **.NET and Python** instrumentation is glibc-only. On an Alpine or other musl-based image it won't load, so use a glibc-based image for those two runtimes. Node.js and Java are unaffected. + +### Keep your API key out of the task definition + +By default the script writes `KM_API_KEY` inline into the task definition. That key is a workspace-wide ingest credential, and once it's inline it's readable by anyone with `ecs:DescribeTaskDefinition` and visible in the console and CloudTrail. + +:::caution + For tighter setups, store the key in AWS Secrets Manager and pass its ARN with `KM_API_KEY_SECRET_ARN`. The script then references the secret instead of inlining the key, and prints the `secretsmanager:GetSecretValue` policy you need to attach to the task **execution** role. It never edits IAM for you, so you attach that policy yourself. +::: + +### Install options + +Set these as environment variables on the command: + +| Variable | Required | Default | Notes | +|---|---|---|---| +| `KM_API_KEY` | Yes | none | Your workspace ingest key. | +| `KM_ECS_CLUSTER` | Yes | none | Target ECS cluster name. | +| `KM_ECS_LAUNCH_TYPE` | Yes | none | `ec2` or `fargate`. | +| `KM_ECS_SERVICES` | Fargate; optional on EC2 | none | Comma-separated services to SDK-instrument (Java/Node/Python/.NET). | +| `KM_COLLECTOR_ENDPOINT` | No | `https://otel.kloudmate.com:4318` | Where telemetry is sent. | +| `KM_REGION` | No | `aws configure get region` | Region for the agents' own CloudWatch logs. | +| `KM_API_KEY_SECRET_ARN` | No | none | Reference the key from Secrets Manager instead of inlining it. | +| `KM_EBPF_ENABLED` | No | `true` | EC2 daemon eBPF baseline (traces Go and other non-SDK services). | +| `KM_AGENT_BIN` | No | none | Path to a native `kmagent` binary for the injection step, so Docker isn't needed. | +| `KM_DAEMON_FAMILY` | No | `km-agent-ec2` | EC2 daemon task-definition family. | +| `KM_EC2_IMAGE` / `KM_ECS_IMAGE` / `KM_FIRELENS_IMAGE` | No | Pinned defaults | Override the agent or FireLens images. | + +Two flags are passed after `--` rather than as environment variables: `--yes` skips the Fargate confirmation prompt, and `--dry-run` prints the task definitions without registering them. + +## Check What's Instrumented + +The one-line script is the bulk path. For a per-service view, and to instrument a single service without Docker, the `kmagent` binary has an `ecs` subcommand set. Use it to check whether a service is instrumented, especially for Fargate tasks, which never register in the agents list. + +Summarize every task-definition family in a region and its instrumentation state (which components are attached, the detected language): + +```bash +kmagent ecs status --region us-east-1 +``` + +Inspect a single family: + +```bash +kmagent ecs discover --task-definition your-service --region us-east-1 +``` + +Both are read-only: they describe task definitions and report, without changing anything. To instrument one service end to end (describe, inject, register a new revision, then optionally roll the service onto it): + +```bash +kmagent ecs instrument \ + --task-definition your-service \ + --service your-service --cluster your-cluster \ + --region us-east-1 +``` + +`instrument` takes `--enable-apm=false` to skip SDK injection (EC2 apps still fall back to eBPF), `--enable-logs=false` to skip Fargate log routing, `--language` to force a runtime the detector missed, and `--dry-run` to preview the task definition. + +## Where Your Agents and Data Show Up + +The two launch types appear differently in KloudMate: + +- **EC2 daemon:** each container instance appears in **Settings → Agents** as **Amazon ECS**, one row per instance. Its **APM** tab has no per-service toggle; it points you to the `kmagent ecs discover` and `instrument` commands and explains the language-aware split (SDK for Java/Node/Python/.NET, eBPF for the rest). +- **Fargate tasks are autonomous:** each collector sidecar ships telemetry on its own and **does not appear as an agent row**. Find that data in **APM**, **Log Explorer**, and **Infrastructure** keyed by service name. The install flow's verify step accounts for this, so it won't wait for a Fargate check-in that never comes. + +## Log Integration + +The agent sends your ECS logs to KloudMate as part of the install. On EC2 the daemon reads container and host logs directly. On Fargate it adds a FireLens log router to each instrumented service. Either way, this replaces the manual [Fluent Bit and FireLens setup](../../../logs/amazon-ecs-container-logs-to-kloudmate/) and adds APM and metrics alongside it. + +:::caution + **Instrumenting a Fargate service can reroute its existing logging.** If an app container already sends logs to a non-FireLens driver such as `awslogs` (CloudWatch), the injector switches it to FireLens so its logs reach KloudMate. To leave existing logging untouched, keep the manual FireLens page's approach for that service instead of instrumenting it. +::: + +To collect additional application log files with the agent, see [Collect File Logs with KloudMate Agent](../../../logs/collect-file-logs/). + +## Next Steps + +- Open **Infrastructure Monitoring** to see your container instances, tasks, and their metrics +- Use **APM & Tracing** to follow requests across your instrumented services +- Investigate container and application logs in **Log Explorer** +- Configure **alerts** for cluster, task, or service thresholds +- If an agent looks unhealthy, check its own error logs: see [See the agent's own errors](../../management/#see-the-agents-own-errors) + +## Re-running the Install + +The injector is idempotent. Re-running the script strips its previous additions and re-injects with your current settings, so changing the collector endpoint or upgrading the agent image applies cleanly instead of stacking duplicate sidecars. Turning logs off on a later run also reverts the FireLens driver it added, leaving no dangling configuration. + +## Uninstall Agent + +There's no one-line uninstaller. Remove the agent the same way it was added, through the ECS API. + +**EC2 (daemon service):** delete the agent's daemon service. This stops and removes the agent task on every container instance. + +```bash +aws ecs delete-service --cluster your-cluster --service km-agent --force +``` + +**Instrumented services (EC2 or Fargate):** roll each SDK-instrumented service back to the task-definition revision it used before instrumentation. + +```bash +aws ecs update-service \ + --cluster your-cluster \ + --service web \ + --task-definition web:PREVIOUS_REVISION +``` + +Replace `PREVIOUS_REVISION` with the revision number from before you ran the installer. After that, the service no longer runs the collector sidecar or SDK injection. Services that were only traced by eBPF have no task-definition changes to revert; they stop being traced once the daemon service is gone. diff --git a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx index d50ddded..0450e67b 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx @@ -2,7 +2,7 @@ title: "Infrastructure as Code (IaC)" description: "Documentation for Infrastructure as a Code (IaaC) Installation" sidebar: - order: 7 + order: 8 --- import { Tabs, TabItem } from '@astrojs/starlight/components'; diff --git a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx index 817d2767..77522c98 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx @@ -2,7 +2,7 @@ title: "Windows" description: "Documentation for Windows Agent" sidebar: - order: 5 + order: 6 --- This document will guide you through installing the **KloudMate Agent** on your Windows machine **(Windows Server 2016+)**. diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index 754a0c74..9ce7f832 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -125,6 +125,35 @@ ebpf: postgres_prepared_statements_cache_size: 1024 ``` +## See the agent's own errors + +When an agent shows as **Unreachable** or **Degraded** in **Settings → Agents**, you'll usually want its logs. Each agent sends its own **ERROR-level logs** to your workspace, so you can read them in **Log Explorer** without SSHing into the host or running `docker logs` or `kubectl logs`. + +These logs are sent separately from the collector's normal telemetry pipeline, through a dedicated logs exporter. This matters because the collector is the component that normally forwards telemetry. If it fails to start on an invalid config, it can't report that failure through the usual path, but the separate exporter still delivers it. + +Both the agent process and its collector send logs this way, so a failure in either one appears in the same place. + +### Find them in Log Explorer + +Open **Log Explorer** and filter on the agent's service name: + +- `service.name = kmagent`: the agent's logs are a distinct service, separate from your application telemetry +- Add a `host.name` filter to narrow to a single agent + +Every entry includes a few attributes for context: + +- **`host.name`**: links the agent's errors to the rest of that host's data +- **`agent.version`** and **`collector.version`**: which build reported the error +- On Kubernetes, also **`k8s.cluster.name`**, **`k8s.node.name`**, **`k8s.pod.name`**, and **`kmagent.role`** + +### Turn it off + +Error-log shipping is on by default. It reuses the same `KM_API_KEY` and `KM_COLLECTOR_ENDPOINT` as the rest of the agent, so there's nothing extra to set up. To disable it, set `KM_AGENT_ERROR_LOGS=false` (every agent reads this), or pass `--agent-error-logs=false` to the Linux/host agent. + +:::note + Only the agent's **own** operational logs are sent this way, and only at ERROR level and above. Your application logs and other telemetry always flow through the normal pipeline. These logs go to your own workspace using your own key. +::: + ## Agent health and status Beyond the status shown on the landing page, each agent reports on its own health so you can confirm it is running and see when something goes wrong: diff --git a/src/content/docs/docs/logs/amazon-ecs-container-logs-to-kloudmate.mdx b/src/content/docs/docs/logs/amazon-ecs-container-logs-to-kloudmate.mdx index 9c0e2af5..2220824f 100644 --- a/src/content/docs/docs/logs/amazon-ecs-container-logs-to-kloudmate.mdx +++ b/src/content/docs/docs/logs/amazon-ecs-container-logs-to-kloudmate.mdx @@ -8,6 +8,10 @@ sidebar: This guide explains how to send Amazon ECS container logs from Fargate workloads to KloudMate using Fluent Bit, FireLens, and the OpenTelemetry output plugin. +:::tip + Want traces and metrics alongside your logs? The [KloudMate agent for Amazon ECS](../../kloudmate-agent/installation/ecs-agent/) installs all three with one script and no application changes, and automates the Fluent Bit and FireLens wiring described below. Stay on this manual guide when you only want to ship container logs and would rather not run the agent. +::: + In this setup: - Fluent Bit forwards log records From d3d3b066844279610710ce38db85b9618a6eb3c7 Mon Sep 17 00:00:00 2001 From: vasavi-r Date: Wed, 15 Jul 2026 08:39:23 +0530 Subject: [PATCH 11/39] Review and update Agent V2 pages --- .claude/launch.json | 11 +++++++++++ src/content/docs/docs/infrastructure/index.mdx | 2 +- .../kloudmate-agent/auto-instrumentation/go-ebpf.mdx | 2 +- .../auto-instrumentation/kubernetes.mdx | 4 ++-- .../auto-instrumentation/linux-systemd.mdx | 4 ++-- .../auto-instrumentation/overview.mdx | 10 +++++----- .../kloudmate-agent/auto-instrumentation/php.mdx | 8 ++++---- .../auto-instrumentation/sampling.mdx | 2 +- .../auto-instrumentation/windows-dotnet.mdx | 2 +- .../docs/kloudmate-agent/concepts/architecture.mdx | 2 +- .../docs/kloudmate-agent/concepts/config-model.mdx | 2 +- .../database-monitoring/credentials.mdx | 2 +- .../database-monitoring/on-kubernetes.mdx | 2 +- .../kloudmate-agent/database-monitoring/on-vm.mdx | 2 +- .../kloudmate-agent/database-monitoring/overview.mdx | 2 +- .../docs/docs/kloudmate-agent/ebpf-observability.mdx | 8 ++++---- .../installation/aws-asg-deployment.mdx | 4 ++-- .../kloudmate-agent/installation/docker-agent.mdx | 4 ++-- .../infrastructure-as-code-iaac-installation.mdx | 8 ++++---- .../installation/kubernetes-agent.mdx | 4 ++-- .../kloudmate-agent/installation/linux-agent.mdx | 2 +- .../kloudmate-agent/installation/windows-agent.mdx | 2 +- .../docs/docs/kloudmate-agent/log-monitoring.mdx | 4 ++-- src/content/docs/docs/kloudmate-agent/management.mdx | 12 ++++++------ .../docs/kloudmate-agent/platform-notes/docker.mdx | 4 ++-- .../kloudmate-agent/platform-notes/kubernetes.mdx | 4 ++-- .../kloudmate-agent/reference/design-decisions.mdx | 2 +- .../docs/docs/kloudmate-agent/reference/glossary.mdx | 6 +++--- .../kloudmate-agent/reference/telemetry-identity.mdx | 4 ++-- .../self-observability/health-metrics.mdx | 6 +++--- .../docs/docs/kloudmate-agent/troubleshooting.mdx | 4 ++-- 31 files changed, 73 insertions(+), 62 deletions(-) create mode 100644 .claude/launch.json diff --git a/.claude/launch.json b/.claude/launch.json new file mode 100644 index 00000000..8f541789 --- /dev/null +++ b/.claude/launch.json @@ -0,0 +1,11 @@ +{ + "version": "0.0.1", + "configurations": [ + { + "name": "astro-dev", + "runtimeExecutable": "npm", + "runtimeArgs": ["run", "dev"], + "port": 4321 + } + ] +} diff --git a/src/content/docs/docs/infrastructure/index.mdx b/src/content/docs/docs/infrastructure/index.mdx index 87cdd953..70252f43 100644 --- a/src/content/docs/docs/infrastructure/index.mdx +++ b/src/content/docs/docs/infrastructure/index.mdx @@ -10,7 +10,7 @@ Infrastructure monitoring in KloudMate gives you visibility into the health, per This section covers common infrastructure ingestion paths, whether you are monitoring a single server, a Kubernetes cluster, a Prometheus deployment, or a virtualized environment. :::tip -The fastest way to start collecting host and Kubernetes metrics is the KloudMate Agent, which sends them automatically after install. See [Install the agent](../kloudmate-agent/installation/linux-agent/) and [Host metrics and logs](../kloudmate-agent/baseline/host-metrics-and-logs/). +The fastest way to start collecting host and Kubernetes metrics is the KloudMate Agent, which sends them automatically after install. See [Install the agent](../kloudmate-agent/) and [Host metrics and logs](../kloudmate-agent/baseline/host-metrics-and-logs/). ::: ## What You Can Monitor diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx index 4b526a41..80c24fc7 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx @@ -24,7 +24,7 @@ The result is close to what a language SDK would produce, without changing your ## How Go traces connect to other services -Because the eBPF baseline and the language agents both propagate W3C trace context (`traceparent`), a Go service joins the same distributed traces as its instrumented neighbors. When an instrumented service calls a Go service, the Go service's eBPF server span adopts the caller's trace, so you see one connected trace with a correct parent-child relationship, rather than two disjoint views. This has been validated end to end: an instrumented upstream and an eBPF-only Go downstream consistently land on a single trace. +Because the eBPF baseline and the language agents both propagate W3C trace context (`traceparent`), a Go service joins the same distributed traces as its instrumented neighbors. When an instrumented service calls a Go service, the Go service's eBPF server span adopts the caller's trace, so you see one connected trace with a correct parent-child relationship, rather than two disjoint views. In practice, an instrumented upstream and an eBPF-only Go downstream consistently land on a single trace. :::note In the Discovered Services list, a Go service is marked as covered by eBPF rather than as instrumentable, and its Instrument toggle is disabled. This is expected: the eBPF baseline is already tracing it. diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx index b7e736b2..3c3e583d 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx @@ -25,7 +25,7 @@ TODO(screenshot): the Kubernetes APM toggle and the per-workload instrument list ### With deployment annotations -If a workload is not detected automatically, add the OpenTelemetry Operator annotation for its language and restart it. This is the underlying mechanism the toggle uses. +If a workload is not detected automatically, add the OpenTelemetry Operator annotation for its language and restart the workload. This is the underlying mechanism the toggle uses. @@ -62,7 +62,7 @@ After adding the annotation, restart the deployment so the Operator injects the ## Parity with the Linux flow -The mental model is identical to [Linux](../linux-systemd/): discover a workload, toggle Instrument, and traces flow, correlated with the eBPF baseline that already covers the cluster. The difference is only in the mechanism: Kubernetes uses annotation-driven injection and a rolling pod restart, while Linux uses systemd drop-ins and a service restart. +The mental model is identical to [Linux](../linux-systemd/): discover a workload, toggle Instrument, and let traces flow, correlated with the eBPF baseline that already covers the cluster. The difference is only in the mechanism: Kubernetes uses annotation-driven injection and a rolling pod restart, while Linux uses systemd drop-ins and a service restart. ## Monitored namespaces diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx index 7eabc72b..9388e791 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx @@ -34,11 +34,11 @@ The language agents come inside the KloudMate agent package and are versioned wi ## Restart behavior -The agent restarts one service at a time, only with your consent, and can wait for the service to come back up before reporting success. If a restart fails, the agent undoes the change and restarts the service to its previous state. See the [overview](../overview/) for details. +The agent restarts one service at a time, only with your consent, and can wait for the service to come back up before reporting success. If a restart fails, the agent undoes the change and restarts the service, returning it to its previous state. See the [overview](../overview/) for details. ## Other process managers -systemd is the primary path on Linux. Services run under other process managers, such as supervisord or pm2, or run on their own, do not have a per-service way to attach the agent, so the agent reports them as not supported for automatic instrumentation and offers guidance instead. +systemd is the primary path on Linux. Services that run under other process managers, such as supervisord or pm2, or that run on their own, do not have a per-service way to attach the agent. The agent reports them as not supported for automatic instrumentation and offers guidance instead. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx index a0fcc324..900941c7 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -11,7 +11,7 @@ Application performance monitoring (APM) is the opt-in depth of the agent. Where ## The per-service opt-in flow -The flow is the same on every deployment mode, and it mirrors the Kubernetes experience you may already know: +The flow is the same across every deployment mode, and it mirrors the Kubernetes experience you may already know: 1. **Discover.** The agent inventories your services and lists them under **Discovered Services**. See [Discovery](../../concepts/discovery/). 2. **Toggle Instrument.** You turn on the **Instrument** toggle for a service. @@ -36,11 +36,11 @@ The agent never restarts your services silently. In this version: - Every restart requires **explicit, per-service confirmation**. There is no batched or automatic restart. - The agent restarts **one service at a time**. -- It can apply an optional **health gate**: after the restart it waits for the service to become active and, where the listen port is known, to accept connections before it reports success. +- It can apply an optional **health gate**. After the restart, the agent waits for the service to become active. Where the listen port is known, it also waits for the service to accept connections before reporting success. ## Automatic rollback -If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service to its previous state, then reports the status as failed and rolled back. Your service returns to how it ran before, and the eBPF baseline continues to cover it. Because you instrument one service at a time, a problem with one service never affects the others. +If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service, returning it to its previous state, and then reports the status as failed, rolled back. Your service returns to how it ran before, and the eBPF baseline continues to cover it. Because you instrument one service at a time, a problem with one service never affects the others. ## Supported runtimes @@ -50,14 +50,14 @@ If an instrumented service fails to restart or falls into a crash loop, the agen | Node.js | OpenTelemetry Node.js instrumentation, attached per service | | Python | OpenTelemetry Python instrumentation, attached per service | | .NET | OpenTelemetry .NET auto-instrumentation (CLR profiler) | -| PHP | Native OpenTelemetry (PHP 8.2 and newer) or a dd-trace based tracer (PHP 7 and 8.0 to 8.1) | +| PHP | Native OpenTelemetry (PHP 8.2 and newer) or a dd-trace-based tracer (PHP 7 and 8.0 to 8.1) | | Go | Covered by the eBPF baseline, not injected | The language agents ship inside the KloudMate agent package and are versioned with it, so there is no separate download to manage. ## Clean traces without duplicates -When you instrument a service, the agent tells the eBPF baseline to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF continues to trace the services around it. The two layers share a trace, so an instrumented service and its un-instrumented neighbors appear on one connected trace. +When you instrument a service, the agent tells the eBPF baseline to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF continues to trace the services around it. The two layers share a trace, so an instrumented service and its uninstrumented neighbors appear on one connected trace. ## Instrument everything (advanced) diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx index bfa832d6..afc355e4 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx @@ -14,7 +14,7 @@ PHP is a special case. Zero-code OpenTelemetry (OTel) needs PHP 8, so PHP 7 has When you instrument a PHP service, the agent inspects the service's own PHP build (version, thread safety, and processor architecture) and selects one of two paths: - **Native OpenTelemetry** for PHP 8.2 and newer, when a matching OpenTelemetry PHP extension and software development kit (SDK) are available. This is the preferred, fully native path. -- **A dd-trace based tracer** for PHP 7.0 through 8.1. The agent installs the stock `dd-trace-php` Zend extension, which speaks the Datadog trace protocol, and the agent's collector converts that protocol to clean OpenTelemetry through its built-in Datadog receiver. +- **A dd-trace-based tracer** for PHP 7.0 through 8.1. The agent installs the stock `dd-trace-php` Zend extension, which speaks the Datadog trace protocol, and the agent's collector converts that protocol to clean OpenTelemetry through its built-in Datadog receiver. If neither path is available for a build, the agent skips it and reports the reason. @@ -25,12 +25,12 @@ Both paths attach with **no application code changes**. The agent installs the e | PHP version | Tracer | |---|---| | 8.2 and newer | Native OpenTelemetry (dd-trace fallback where a native build is not available) | -| 8.0 and 8.1 | dd-trace based tracer | -| 7.0 through 7.4 | dd-trace based tracer | +| 8.0 and 8.1 | dd-trace-based tracer | +| 7.0 through 7.4 | dd-trace-based tracer | ## What you get -The PHP tracer produces route-level server spans, database spans (for example, PDO calls), and error spans. It continues W3C trace context (`traceparent`), so a PHP span shares its trace identifier with the eBPF baseline and with any upstream or downstream service. That means a PHP 7 application appears on the same connected trace as your other services, not as an isolated view. +The PHP tracer produces route-level server spans, database spans (for example, PDO calls), and error spans. It propagates W3C trace context (`traceparent`), so a PHP span shares its trace identifier with the eBPF baseline and with any upstream or downstream service. That means a PHP 7 application appears on the same connected trace as your other services, not as an isolated view. The overhead is small: a fixed cost of roughly 1.6 milliseconds per request, which is a low single-digit percentage on realistic requests. diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx index f8405690..f66b42ee 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx @@ -12,7 +12,7 @@ Sampling controls how many traces an instrumented service keeps. Capturing every ## Global default and per-service overrides - **Global default:** a single sampling rate applies to every service you instrument, so you set the trade-off once. -- **Per-service override:** you can raise or lower the rate for a specific service, for example keeping every trace on a low-traffic, high-value service while sampling a noisy one more aggressively. +- **Per-service override:** you can raise or lower the rate for a specific service, for example, keeping every trace on a low-traffic, high-value service while sampling a noisy one more aggressively. The agent applies the rate to each instrumented service through the standard OpenTelemetry (OTel) sampler settings, so the behavior matches what the language agents document. diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx index 1f5936a1..4f9165c2 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx @@ -7,7 +7,7 @@ sidebar: import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; -Windows has no `LD_PRELOAD` and no production eBPF, but its dominant workload, .NET, has a mature zero-code tracing path through the Common Language Runtime (CLR) profiler. The agent uses that path for .NET, uses per-service environment for Java, Node.js, and Python, and provides a universal baseline through Event Tracing for Windows (ETW). The opt-in flow, consent, and rollback are the same as on [Linux](../overview/). +Windows has no `LD_PRELOAD` and no production eBPF, but its dominant workload, .NET, has a mature zero-code tracing path through the Common Language Runtime (CLR) profiler. The agent uses that path for .NET, uses per-service environment for Java, Node.js, and Python, and provides a universal baseline through Event Tracing for Windows (ETW). The opt-in flow, consent, and rollback are the same as described in the [overview](../overview/). ## .NET applications diff --git a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx index f635fa62..7af45ecc 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx @@ -30,7 +30,7 @@ The two-sided model is the same in every mode. What changes is how the agent is | Mode | How the agent runs | How it applies instrumentation | |---|---|---| -| Linux / VM | A single agent as a systemd service. | Per-service, using systemd. | +| Linux / VM | A single agent as a systemd service. | Per service, using systemd. | | Windows | A single agent as a Windows service. | Per service or application pool, using the registry and Internet Information Services (IIS). | | Kubernetes | A control pod plus collector pods. One agent represents one cluster. | Per workload, using the OpenTelemetry (OTel) Operator. | | Docker | A containerized collector. | Host metrics, logs, and eBPF today; per-container tracing is rolling out. | diff --git a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx index 7bf3521d..b7732b46 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx @@ -38,7 +38,7 @@ TODO(screenshot): the managed/manual mode toggle and the integrations panel in A ## No needless restarts -The same set of enabled integrations always produces the same configuration. So turning features on and off, or making a change that does not really alter anything, does not cause the agent to restart the collector for no reason. +The same set of enabled integrations always produces the same configuration. So toggling features on and off, or making a change that doesn't actually alter the configuration, doesn't trigger an unnecessary collector restart. ## Rolling back a change diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx index e27b329b..9b45f9a7 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx @@ -13,7 +13,7 @@ Database monitoring needs a monitoring user's credentials to read from the datab ### Environment reference (default) -The credential is stored as a reference, not a value. The generated configuration contains a placeholder such as `${env:KM_SECRET_}`, and the agent resolves it from an environment variable at runtime. The plaintext value never lands in the configuration, the pushed configuration, or the collector's config file. This is the default and the recommended mode. +The credential is stored as a reference, not a value. The generated configuration contains a placeholder such as `${env:KM_SECRET_}`, and the agent resolves it from an environment variable at runtime. The plaintext value never reaches KloudMate, the pushed configuration, or the collector's config file. This is the default and the recommended mode. The agent also handles escaping for you, so a password with special characters works in a connection string without you having to encode it. diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx index dd16210e..3bfbb4cc 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx @@ -56,7 +56,7 @@ Because the collector reads the Secret at pod startup, create the Secret and run ## Worked example: PostgreSQL -1. **Create a monitoring role** in PostgreSQL and grant it the built-in monitoring role: +1. **Create a monitoring role** in PostgreSQL and grant it the built-in `pg_monitor` role: ```sql CREATE ROLE kmmonitor LOGIN PASSWORD ''; diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx index 3d1c2f0e..ff707e8f 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx @@ -14,7 +14,7 @@ On a virtual machine, the agent monitors databases running on the host or reacha - **Databases on the host:** a database listening on the host is discovered and prefilled in the wizard. - **Reachable remote databases:** you can also monitor a database on another host by entering its endpoint and credentials in the wizard. -On a virtual machine you can collect the full set of coverages, including database logs. See [Engines and coverages](../engines-and-coverages/). +On a virtual machine, you can collect the full set of coverages, including database logs. See [Engines and coverages](../engines-and-coverages/). ## How local databases are identified diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx index d6ae5999..ae3eac9e 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx @@ -28,7 +28,7 @@ You set up monitoring for a database through a wizard, usually starting from a d 1. **Pick the engine.** The agent lists databases it discovered, so the engine and endpoint are often prefilled. 2. **Choose coverages.** Turn on the coverage areas you want, such as standard metrics, query performance, or locks. -3. **Provide credentials.** Enter the monitoring user and its secret. By default the secret is stored as a reference and never leaves the host. See [Database credentials](../credentials/). +3. **Provide credentials.** Enter the monitoring user and its secret. By default, the secret is stored as a reference and never leaves the host. See [Database credentials](../credentials/). 4. **Follow the setup steps.** The wizard shows the exact grants and prerequisites each coverage needs, ready to copy. 5. **Review and apply.** The wizard previews what will be collected, and on save the agent starts collecting. diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index 06c9c908..0b59c2e1 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -9,7 +9,7 @@ import { LinkCard, CardGrid } from '@astrojs/starlight/components'; Extended Berkeley Packet Filter (eBPF) lets the KloudMate agent observe your applications directly from the Linux kernel. You get deep visibility into network traffic, database queries, and application performance **without changing a single line of code or installing SDKs**. -eBPF is part of the agent's automatic baseline. On a managed-mode agent it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map as soon as the agent is running. This page covers what it collects, the kernel requirements, how it degrades gracefully, and how to tune it. In the [layered model](../concepts/layered-instrumentation/), this is Layer 2. +eBPF is part of the agent's automatic baseline. On a managed-mode agent, it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map as soon as the agent is running. This page covers what it collects, the kernel requirements, how it degrades gracefully, and how to tune it. In the [layered model](../concepts/layered-instrumentation/), this is Layer 2. ## What eBPF collects @@ -21,7 +21,7 @@ When the eBPF baseline is active, the agent collects: - **Distributed context propagation:** the agent reads and injects HTTP trace context (`traceparent`), so requests stay on one trace across services. - **Log-to-trace correlation:** trace identifiers are added to application logs so you can jump between a log line and its trace. -Because eBPF observes traffic in the kernel, it covers services you have not instrumented, including Go services, which the agent does not inject. When a service is also instrumented at Layer 3, the eBPF spans and the application spans share the same trace, giving you end-to-end traces where un-instrumented hops still appear. +Because eBPF observes traffic in the kernel, it covers services you have not instrumented, including Go services, which the agent does not inject. When a service is also instrumented at Layer 3, the eBPF spans and the application spans share the same trace, giving you end-to-end traces where uninstrumented hops still appear. ## Deployment modes and requirements @@ -48,14 +48,14 @@ The agent reports its host capabilities (kernel version, BTF presence, available ## Tuning eBPF -On a managed-mode agent you tune eBPF through its settings in the web interface. On a manual-mode agent you edit the collector YAML directly. See the [configuration model](../concepts/config-model/) for how the two modes differ. +On a managed-mode agent, you tune eBPF through its settings in the web interface. On a manual-mode agent, you edit the collector YAML directly. See the [configuration model](../concepts/config-model/) for how the two modes differ. ### Context propagation The `context_propagation` setting controls how far the agent carries trace context. It accepts `disabled`, `headers`, `tcp`, or `all`: - `headers` propagates context through HTTP headers. This is the safe default for distributed tracing across services. -- `tcp` and `all` extend propagation to non-HTTP paths and un-instrumented applications. They reach further, but validate them across proxies, load balancers, and network address translation (NAT) before relying on them. +- `tcp` and `all` extend propagation to non-HTTP paths and uninstrumented applications. They reach further, but you should validate them across proxies, load balancers, and network address translation (NAT) before relying on them. Use `track_request_headers` to capture request headers such as `User-Agent`. diff --git a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx index 1ba3ecf6..c3dd2c56 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx @@ -216,7 +216,7 @@ aws ssm list-command-invocations \ | Risk | Lower (clean slate) | Slightly higher (in-place) | | Use when | You want clean rollout | You need it NOW | -**Recommended approach:** Use **Option B** for the immediate install on all 50 instances today, and the **Launch Template user data** ensures every future instance is covered automatically. +**Recommended approach:** Use **Option B** for the immediate install on all 50 instances today. The **Launch Template user data** ensures every future instance is covered automatically. ## Verification @@ -242,7 +242,7 @@ curl -s http://localhost:13133 # health check endpoint | **Issue** | **Cause** | **Fix** | | ------------------------------ | -------------------------------------------------- | -------------------------------------------------------------------------------------- | | `unable to locate credentials` | IAM Instance Profile missing or no SSM permissions | Attach IAM role with `ssm:GetParameter` to your Launch Template | -| `command not found: aws` | AWS CLI not installed on instance | Add `yum install -y aws-cli or apt install -y awscli` before the SSM call in user data | +| `command not found: aws` | AWS CLI not installed on instance | Add `yum install -y aws-cli` or `apt install -y awscli` before the SSM call in user data | | `kmagent failed to start` | Port conflict or config error | Check `journalctl -u kmagent -n 50` on the instance | | SSM command stuck in `Pending` | SSM Agent not running | Ensure `amazon-ssm-agent` is installed and running | | Instance refresh stuck | Health check failing on new instances | Check your ASG health check grace period and target group settings | diff --git a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx index 3aa253ef..2eb296f3 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx @@ -14,7 +14,7 @@ Once installed, the Docker Agent collects: - **Container metrics:** CPU, memory, network, and disk usage for each running container - **Container lifecycle events:** start, stop, restart - **Host metrics:** CPU, memory, disk, and network usage of the Docker host -- **Container and host logs:** stdout/stderr from containers and system logs from host +- **Container and host logs:** stdout/stderr from containers and system logs from the host - **Alerts:** Configure thresholds for containers or the host to notify on performance issues - **Dashboards:** Pre-built views for container-level and host-level performance @@ -82,7 +82,7 @@ For a hand-written `filelog` receiver in manual mode, see [Collect File Logs wit ## Coverage and configuration -In Docker mode the agent collects host and container metrics, container and host logs, and, where the host kernel supports it, the [eBPF baseline](../../ebpf-observability/) (RED metrics, service map, and Database Activity Monitoring) across your containers with no code changes. Per-container application injection is being rolled out; see [Docker platform notes](../../platform-notes/docker/) for current coverage. +In Docker mode, the agent collects host and container metrics, container and host logs, and, where the host kernel supports it, the [eBPF baseline](../../ebpf-observability/) (RED metrics, service map, and Database Activity Monitoring) across your containers with no code changes. Per-container application injection is being rolled out; see [Docker platform notes](../../platform-notes/docker/) for current coverage. New agents start in managed mode, so KloudMate generates the collector configuration for you. See the [configuration model](../../concepts/config-model/). diff --git a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx index 0450e67b..2781baee 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx @@ -1,13 +1,13 @@ --- title: "Infrastructure as Code (IaC)" -description: "Documentation for Infrastructure as a Code (IaaC) Installation" +description: "Documentation for Infrastructure as Code (IaC) Installation" sidebar: order: 8 --- import { Tabs, TabItem } from '@astrojs/starlight/components'; -Deploy the KloudMate agent across any cloud provider or on-premises infrastructure using Infrastructure as a Code (IaaC) and automation tools. +Deploy the KloudMate agent across any cloud provider or on-premises infrastructure using Infrastructure as Code (IaC) and automation tools. :::note However you provision it, each agent starts in managed mode and collects host metrics, logs, and the [eBPF baseline](../../ebpf-observability/) automatically once it checks in. See the [configuration model](../../concepts/config-model/). @@ -28,11 +28,11 @@ If you are provisioning a new VM or Auto-scaling group, you should use **cloud-i If you are managing an existing fleet, use an **Ansible playbook**. -If you are managing infrastructure with **Terraform** , use the **Terraform module**. +If you are managing infrastructure with **Terraform**, use the **Terraform module**. ## 1. cloud-init (Universal) -Works on every provider that supports cloud-init (AWS, GCP, Azure, DigitalOcean, Alibaba, Hetzner, Vultr, Linode, etc.) +Works on every provider that supports cloud-init (AWS, GCP, Azure, DigitalOcean, Alibaba, Hetzner, Vultr, Linode, etc.). diff --git a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx index a62464f1..8f338b94 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx @@ -5,7 +5,7 @@ sidebar: order: 2 --- -This document will guide you to instrument Kubernetes using the **KloudMate Agent** via **DaemonSet** & **Deployment**. +This document will guide you to instrument Kubernetes using the **KloudMate Agent** via **DaemonSet** and **Deployment**. **What the Kubernetes Agent Monitors** @@ -234,7 +234,7 @@ On Kubernetes, one agent represents one cluster: a fleet-manager pod applies the ## **Next Steps** -- Open **Kubernetes Monitoring** to view metrics and events for your *cluster*, **nodes** , **namespaces** , **pods** , and **workloads** +- Open **Kubernetes Monitoring** to view metrics and events for your *cluster*, **nodes**, **namespaces**, **pods**, and **workloads** - Use **Dashboards** to create visualizations or view **pre-built dashboards** - Use **Log Explorer** to investigate logs and correlate them with metrics - Configure **alerts** for any of these components based on thresholds diff --git a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx index 90b45aa1..4203ec0f 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx @@ -94,7 +94,7 @@ After the agent is running, confirm the baseline and explore what it found: - Open **Infrastructure Monitoring** to confirm your Linux hosts are visible - Go to **Dashboards** to review system performance - Use **Log Explorer** to start investigating logs -- Set up **alerts & notifications** for critical events +- Set up **alerts and notifications** for critical events ## Uninstall Agent diff --git a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx index 77522c98..60f647b1 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx @@ -47,7 +47,7 @@ View all collected data in these KloudMate sections: - Access Windows Event Logs (System, Application, Security) - Search and filter logs by source, severity, or timestamp -- Correlate logs with host metrics to troubleshoot performance issue +- Correlate logs with host metrics to troubleshoot performance issues [Log Explorer](../../../logs/log-explorer/) diff --git a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx index 54dab009..7d953501 100644 --- a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx +++ b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx @@ -74,7 +74,7 @@ For common log shapes, the wizard offers presets so you do not have to write the - **Nginx error** (carries a level) - **Apache access** -Each app preset is a prefilled **Custom regex**: a ready-made regular expression, the timestamp and severity and message mapping, and the timestamp layout, all filled in for you. They are transparent, not black boxes. You can preview a preset against your own files and edit any part of it before you save. There is also a plain **JSON** preset that prefills the usual `ts`, `level`, and `msg` field names for you to adjust. +Each app preset is a prefilled **Custom regex**: a ready-made regular expression, the timestamp, severity, and message mapping, and the timestamp layout, all filled in for you. They are transparent, not black boxes. You can preview a preset against your own files and edit any part of it before you save. There is also a plain **JSON** preset that prefills the usual `ts`, `level`, and `msg` field names for you to adjust. ## Combine multiline entries @@ -92,7 +92,7 @@ When you enable it, you tell the agent how a new entry begins with a line-start A layout with no year, such as the classic syslog timestamp, is stamped with the current year automatically. If no timestamp is mapped or a value does not match the layout, the record falls back to the time the agent read it. -**Severity.** Standard level names (such as `trace`, `debug`, `info`, `warn`, `error`, and `fatal`) are recognized automatically. The presets also map the syslog and nginx names: `notice` becomes info; `crit` and `critical` become error; and `alert`, `emerg`, `emergency`, and `panic` become fatal. A value that maps to no known level is left unset. +**Severity.** Standard level names (such as `trace`, `debug`, `info`, `warn`, `error`, and `fatal`) are recognized automatically. The presets also map the syslog and nginx names: `notice` becomes `info`; `crit` and `critical` become `error`; and `alert`, `emerg`, `emergency`, and `panic` become `fatal`. A value that maps to no known level is left unset. ## Preview before you save diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index 9ce7f832..70cdc772 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -21,7 +21,7 @@ The KloudMate agent's landing page allows you to view, add, and manage your agen ## Adding a New Agent -1. Click the **Add Agent** button located at the top right corner of the page. +1. Click the **Add Agent** button located at the top-right corner of the page. ![image](./images/managing-kloudmate-agents-1.png) @@ -40,8 +40,8 @@ The KloudMate agent's landing page allows you to view, add, and manage your agen The agent watches for remote configuration changes via a secure connection and updates itself automatically. :::danger - **Do not edit local files manually.** - Manually updating ConfigMaps or local configuration files is not recommended, as these configurations may be overwritten by the central KloudMate APIs. Always use the **KloudMate Agent Config Editor** in the web UI. + **Do not hand-edit local files in managed mode.** + In managed mode, KloudMate regenerates the collector configuration from your toggles, so manual edits to ConfigMaps or local configuration files will be overwritten. Always use the **KloudMate Agent Config Editor** in the web UI. ::: From the KloudMate platform, you can update the collector configuration associated with any agent: @@ -51,7 +51,7 @@ From the KloudMate platform, you can update the collector configuration associat - **Collector Configuration:** Open the web-based YAML editor to make changes to the collector settings and apply updates automatically where the agent is installed. - **APM Configuration:** Configure the applications running on your Kubernetes cluster (applicable only for Kubernetes agents). - **Restart Collector:** Restart the collector service when needed. -- **Delete:** Removes the agent from the KloudMate Agent landing page and clears all of its configuration. +- **Delete:** Remove the agent from the KloudMate Agent landing page and clear all of its configuration. :::caution Deleting an agent decommissions it. Its instrumented applications are restarted to remove their instrumentation, and its database monitoring and log monitoring stop. If the agent is still running on the host, it checks back in and reappears as a new, unconfigured agent, so to remove it for good you must also uninstall it from the host. See the [installation guides](../installation/linux-agent/) for the uninstall command. @@ -73,7 +73,7 @@ Managed configuration is generated from your feature and integration toggles, so ### Common Configurations :::note -The snippets below are for manual mode. In managed mode you set these through the feature and integration toggles instead. See [eBPF observability](../ebpf-observability/) and [Database monitoring](../database-monitoring/overview/). +The snippets below are for manual mode. In managed mode, you set these through the feature and integration toggles instead. See [eBPF observability](../ebpf-observability/) and [Database monitoring](../database-monitoring/overview/). ::: #### Feature Flags @@ -165,7 +165,7 @@ After a configuration change, confirm it applied by checking that telemetry is s ## Resource usage -The agent is light. On a virtual machine or host it runs as a single process and typically uses around **185 MiB of memory** and **under 2% of one CPU core**. Usage grows with the amount of telemetry it handles and the number of services it watches. +The agent is light. On a virtual machine or host, it runs as a single process and typically uses around **185 MiB of memory** and **under 2% of one CPU core**. Usage grows with the amount of telemetry it handles and the number of services it watches. On Kubernetes, usage is split across the per-node collector and a few cluster-wide components. See [Resource usage and sizing](../platform-notes/kubernetes/#resource-usage-and-sizing) for per-component figures and suggested CPU and memory requests and limits. diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx index 9ed1b1a9..c199fbba 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -25,11 +25,11 @@ Full application traces (Layer 3) need the language agent's startup environment - **PHP** containers can be instrumented in place: the agent installs the tracer inside the running container and reloads the process manager, with no redeploy. See [PHP instrumentation](../../auto-instrumentation/php/). - **Java, Node.js, Python, and .NET** read their instrumentation from environment variables set at process start, and you cannot change a running container's startup environment without recreating it. The agent does not recreate your running containers. Instead, it computes the exact environment and read-only mounts to instrument the container and surfaces them for you to apply at your **next deploy** (for example, as a Compose override). eBPF continues to cover these containers in the meantime. -Automatic per-image injection through a container startup hook, so an opted-in image is instrumented on its next start without a manual snippet, is planned. It targets **images** rather than individual containers, so a selection is stable across container churn. +Automatic per-image injection through a container startup hook is planned, so an opted-in image is instrumented on its next start without a manual snippet. It targets **images** rather than individual containers, so a selection is stable across container churn. ## Deployment posture -To configure container-level injection the agent needs host access: +To configure container-level injection, the agent needs host access: - Run the agent **on the host** with Docker socket and daemon access, or - Run it as a **privileged container with host mounts**. diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx index 982d34a2..899e6d7e 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx @@ -11,7 +11,7 @@ This page is the deep reference for how the agent runs on Kubernetes. For instal ## One agent per cluster, two planes -On Kubernetes the agent keeps its own control-plane and data-plane split: +On Kubernetes, the agent keeps its own control-plane and data-plane split: - **Fleet manager (control plane):** a single pod that checks in with KloudMate, applies the generated configuration to the cluster, and reports status back. It is the on-cluster applier. - **Collector pods (data plane):** a **DaemonSet** (one collector per node) collects per-node metrics and pod logs and, where the kernel supports it, runs the eBPF baseline; a **Deployment** (a single replica) collects cluster metrics and events and acts as the OpenTelemetry (OTel) gateway. @@ -42,7 +42,7 @@ The collectors read their configuration from ConfigMaps. To manage these safely: - Updates are applied carefully so they do not disturb parts of the configuration the fleet manager does not own, and a configuration change triggers a rollout so the collectors pick it up. :::danger -Do not hand-edit the agent's ConfigMaps. In managed mode the fleet manager owns them and will overwrite manual edits. Change configuration through KloudMate instead. See the [configuration model](../../concepts/config-model/). +Do not hand-edit the agent's ConfigMaps. In managed mode, the fleet manager owns them and will overwrite manual edits. Change configuration through KloudMate instead. See the [configuration model](../../concepts/config-model/). ::: ## Resource usage and sizing diff --git a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx index c81c4f78..206954e3 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx @@ -23,7 +23,7 @@ Configuration is generated from a structured set of features and integrations ra ## PHP through a version-gated tracer -PHP 7 has no native OpenTelemetry path, so the agent uses a dd-trace based tracer for PHP 7 and 8.0 to 8.1 (converted to clean OpenTelemetry) and native OpenTelemetry for PHP 8.2 and newer. One mechanism covers both modern and legacy PHP, and the traces join the same distributed traces as everything else. See [PHP instrumentation](../../auto-instrumentation/php/). +PHP 7 has no native OpenTelemetry path, so the agent uses a dd-trace-based tracer for PHP 7 and 8.0 to 8.1 (converted to clean OpenTelemetry) and native OpenTelemetry for PHP 8.2 and newer. One mechanism covers both modern and legacy PHP, and the traces join the same distributed traces as everything else. See [PHP instrumentation](../../auto-instrumentation/php/). ## eBPF on by default, gated by capability diff --git a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx index 8508005e..0f453510 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx @@ -33,14 +33,14 @@ Definitions of the terms used across the agent documentation. **Profiler (CLR profiler).** The Common Language Runtime profiler used to instrument .NET applications on Windows without code changes. See [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/). -**RED metrics.** Rate, Errors, and Duration: the key metrics the eBPF baseline produces for each service, with no instrumentation. - **Receiver.** A collector component that collects telemetry from a source, such as `hostmetrics`, `filelog`, or a database receiver like `postgresql`. -**Service identity.** A stable identifier the agent assigns to a discovered service so an instrumentation choice keeps applying across restarts. See [Discovery](../../concepts/discovery/). +**RED metrics.** Rate, Errors, and Duration: the key metrics the eBPF baseline produces for each service, with no instrumentation. **Server address.** The canonical, routable address the agent stamps on database telemetry so metrics and traces for the same database join. See [Telemetry identity](../telemetry-identity/). +**Service identity.** A stable identifier the agent assigns to a discovered service so an instrumentation choice keeps applying across restarts. See [Discovery](../../concepts/discovery/). + ## Related diff --git a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx index 547c1f91..1adf75dd 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx @@ -13,7 +13,7 @@ For a database's server-side metrics to line up with the traces that hit it, eve The agent identifies a database by the standard OpenTelemetry (OTel) endpoint attributes: -- **`db.system.name`** identifies the engine. The values are the OpenTelemetry engine names, which for some engines differ from their common name: +- **`db.system.name`** identifies the engine. The values are the OpenTelemetry engine names, which for some engines differ from their common names: | Engine | `db.system.name` | |---|---| @@ -49,7 +49,7 @@ Keying on `server.address` (with `server.port` and `db.system.name` where you ne ## Limits to know -- A loopback connection that the eBPF baseline sees with no endpoint can only be bound to a monitored database when there is exactly one instance of that engine on the host; with several same-engine instances, the agent leaves it unstamped rather than guess. +- A loopback connection that the eBPF baseline sees with no endpoint can only be bound to a monitored database when there is exactly one instance of that engine on the host; with several same-engine instances, the agent leaves it unstamped rather than guessing. - If an application is instrumented by one agent and its database is monitored by a different agent, the two line up only when they already agree on `server.address`, which they usually do when both use the same DNS endpoint. ## Related diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx index fd3b4ac2..d0cf6e24 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx @@ -11,7 +11,7 @@ The agent reports on its own health so you can tell whether it is alive and whet ## Why they are reported separately -If the collector stops, it cannot send anything, including a report that it stopped. To avoid that blind spot, the agent reports its `kmagent.*` metrics itself, on a separate path from the collector. They keep arriving even when the collector is down, which is how you find out the collector is down. +If the collector stops, it cannot send anything, including a report that it stopped. To avoid that blind spot, the agent reports its `kmagent.*` metrics itself, on a separate path from the collector. They keep arriving even when the collector is down, which is how you notice the outage. ## The metric catalog @@ -39,8 +39,8 @@ Resource attributes: `service.name` is `kmagent` (so you can target it directly |---|---| | Healthy | `kmagent.collector.up=1`, `state=running` | | A bad configuration was pushed | `kmagent.collector.up=0`, `reason=config_invalid` | -| The collector exited with an error | `kmagent.collector.up=0`, `reason=run_error`, restarts increases | -| The collector panicked | `kmagent.collector.up=0`, `reason=panic`, restarts increases (then it auto-restarts) | +| The collector exited with an error | `kmagent.collector.up=0`, `reason=run_error`, restart count increases | +| The collector panicked | `kmagent.collector.up=0`, `reason=panic`, restart count increases (then it auto-restarts) | | A graceful shutdown | `reason=shutdown` | The agent recovers from a collector panic and restarts the collector with a backoff, so a transient crash heals itself, and the restart count records that it happened. diff --git a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx index 6f7095b2..da12df0c 100644 --- a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx +++ b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx @@ -12,8 +12,8 @@ This page is organized by symptom. Two agent features are your diagnostic spine: ## The agent will not start or stay up - **Missing API key.** The agent needs its API key to check in. Confirm the key was provided at install. In the health metrics, a healthy agent emits `kmagent.up`. -- **Invalid collector configuration.** If a pushed configuration is invalid, the collector will not start. Look for `kmagent.collector.up=0` with `reason=config_invalid`, and read the error text in the self-logs. In managed mode the agent validates generated configuration before applying it, and keeps running the last good configuration; in manual mode, fix the YAML. -- **Insufficient privileges.** The agent needs elevated privileges for eBPF (on Linux) and for instrumentation. On Linux it runs with the privileges it needs by default; on Windows it runs as Local System. A permissions failure is reported in the self-logs. +- **Invalid collector configuration.** If a pushed configuration is invalid, the collector will not start. Look for `kmagent.collector.up=0` with `reason=config_invalid`, and read the error text in the self-logs. In managed mode, the agent validates generated configuration before applying it, and keeps running the last good configuration; in manual mode, fix the YAML. +- **Insufficient privileges.** The agent needs elevated privileges for eBPF (on Linux) and for instrumentation. On Linux, it runs with the privileges it needs by default; on Windows, it runs as Local System. A permissions failure is reported in the self-logs. ## Metrics are not flowing From a94d91ffbdfd565e5d7416b4b50bb6a1de8d31c7 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Wed, 15 Jul 2026 12:36:52 +0530 Subject: [PATCH 12/39] agent v2 doc updates --- .../advanced-configuration.mdx | 2 +- .../auto-instrumentation/go-ebpf.mdx | 2 +- .../auto-instrumentation/kubernetes.mdx | 2 +- .../auto-instrumentation/linux-systemd.mdx | 4 +- .../auto-instrumentation/overview.mdx | 8 +- .../auto-instrumentation/php.mdx | 27 +---- .../auto-instrumentation/sampling.mdx | 2 +- .../auto-instrumentation/windows-dotnet.mdx | 4 +- .../baseline/host-metrics-and-logs.mdx | 12 +- .../kloudmate-agent/concepts/architecture.mdx | 8 +- .../kloudmate-agent/concepts/config-model.mdx | 53 ++++----- .../kloudmate-agent/concepts/discovery.mdx | 31 ++--- .../concepts/images/instrumentation-flow.svg | 106 ------------------ .../concepts/layered-instrumentation.mdx | 74 ------------ .../database-monitoring/credentials.mdx | 9 +- .../database-monitoring/on-kubernetes.mdx | 6 +- .../database-monitoring/on-vm.mdx | 2 +- .../database-monitoring/overview.mdx | 2 +- .../kloudmate-agent/ebpf-observability.mdx | 21 ++-- .../docs/docs/kloudmate-agent/index.mdx | 23 ++-- .../installation/docker-agent.mdx | 2 +- .../installation/ecs-agent.mdx | 2 +- ...frastructure-as-code-iaac-installation.mdx | 4 +- .../installation/kubernetes-agent.mdx | 2 +- .../installation/linux-agent.mdx | 4 +- .../installation/windows-agent.mdx | 2 +- .../docs/kloudmate-agent/log-monitoring.mdx | 4 +- .../docs/docs/kloudmate-agent/management.mdx | 6 +- .../kloudmate-agent/platform-notes/docker.mdx | 4 +- .../platform-notes/kubernetes.mdx | 39 +++---- .../platform-notes/windows.mdx | 2 +- .../reference/design-decisions.mdx | 42 ------- .../kloudmate-agent/reference/glossary.mdx | 6 +- .../reference/metric-catalogs.mdx | 2 +- .../reference/telemetry-identity.mdx | 2 +- .../self-observability/health-metrics.mdx | 6 +- .../self-observability/self-logs.mdx | 4 - .../self-observability/self-telemetry.mdx | 9 +- .../docs/kloudmate-agent/troubleshooting.mdx | 4 +- 39 files changed, 125 insertions(+), 419 deletions(-) delete mode 100644 src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg delete mode 100644 src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx delete mode 100644 src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx diff --git a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx index 7c4979ec..53618a85 100644 --- a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx +++ b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx @@ -11,7 +11,7 @@ Most agents run well in managed mode with the defaults. This page collects the a ## Manual YAML and custom receivers -Switching an agent to **manual mode** gives you the raw collector YAML through the editor, so you can hand-tune the configuration or add a component that the managed integrations do not cover. This is for non-standard setups. The trade-off is that you own the configuration and the feature toggles are disabled. On Kubernetes, the agent's configuration lives in the collectors' ConfigMaps; do not edit them directly, because the fleet manager owns them in managed mode. See the [configuration model](../concepts/config-model/) and [Kubernetes platform notes](../platform-notes/kubernetes/). +Switching an agent to **manual mode** gives you the raw collector YAML through the editor, so you can hand-tune the configuration or add a component that the managed integrations do not cover. This is for non-standard setups. The trade-off is that you own the configuration and the feature toggles are disabled. On Kubernetes, the agent's configuration lives in the collectors' ConfigMaps; do not edit them directly, because the agent owns them in managed mode. See the [configuration model](../concepts/config-model/) and [Kubernetes platform notes](../platform-notes/kubernetes/). The agent's own settings (such as the API key, host name override, and health reporting) are set through `agent.yaml`, environment variables, or command-line flags on the host, and through Helm values on Kubernetes. diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx index 80c24fc7..1f2b6f08 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx @@ -24,7 +24,7 @@ The result is close to what a language SDK would produce, without changing your ## How Go traces connect to other services -Because the eBPF baseline and the language agents both propagate W3C trace context (`traceparent`), a Go service joins the same distributed traces as its instrumented neighbors. When an instrumented service calls a Go service, the Go service's eBPF server span adopts the caller's trace, so you see one connected trace with a correct parent-child relationship, rather than two disjoint views. In practice, an instrumented upstream and an eBPF-only Go downstream consistently land on a single trace. +Because the eBPF baseline and the language agents both propagate W3C trace context (`traceparent`), a Go service joins the same distributed traces as its instrumented neighbors. When an instrumented service calls a Go service, the Go service's eBPF server span adopts the caller's trace, so you see one connected trace with a correct parent-child relationship, rather than two disjoint views. :::note In the Discovered Services list, a Go service is marked as covered by eBPF rather than as instrumentable, and its Instrument toggle is disabled. This is expected: the eBPF baseline is already tracing it. diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx index 3c3e583d..ec3fdc39 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx @@ -62,7 +62,7 @@ After adding the annotation, restart the deployment so the Operator injects the ## Parity with the Linux flow -The mental model is identical to [Linux](../linux-systemd/): discover a workload, toggle Instrument, and let traces flow, correlated with the eBPF baseline that already covers the cluster. The difference is only in the mechanism: Kubernetes uses annotation-driven injection and a rolling pod restart, while Linux uses systemd drop-ins and a service restart. +It works the same way as on [Linux](../linux-systemd/): discover a workload, toggle Instrument, and let traces flow, correlated with the eBPF baseline that already covers the cluster. Only the mechanism differs: Kubernetes uses annotation-driven injection and a rolling pod restart, while Linux uses systemd drop-ins and a service restart. ## Monitored namespaces diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx index 9388e791..4df0ca26 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -On Linux, the agent instruments a service by attaching the matching language agent to it and restarting it. It changes only the service you chose, not the whole system. This page covers what that looks like per runtime. For the flow, consent, and rollback behavior, see the [Application APM overview](../overview/). +On Linux, the agent instruments a service by attaching the matching language agent to it and restarting it. It changes only the service you chose, not the whole system. For the flow, consent, and rollback behavior, see the [Application APM overview](../overview/). ## How it works @@ -25,7 +25,7 @@ The agent uses the standard tracing mechanism for each runtime, so the behavior | .NET | The .NET (CLR) profiler (less common on Linux than on Windows) | :::note -PHP and Go work differently. PHP uses a `php.ini` setting and a graceful reload instead of a restart; see [PHP instrumentation](../php/). Go is not attached at all; it is covered by the [eBPF baseline](../go-ebpf/). +PHP and Go work differently. PHP is reloaded gracefully instead of restarted; see [PHP instrumentation](../php/). Go is not attached at all; it is covered by the [eBPF baseline](../go-ebpf/). ::: ## Bundled with the agent diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx index 900941c7..d4ba4a60 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -7,11 +7,11 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Application performance monitoring (APM) is the opt-in depth of the agent. Where the eBPF baseline gives you Rate, Errors, and Duration (RED) metrics and a service map with no effort, application APM attaches OpenTelemetry (OTel) auto-instrumentation to a service to produce full distributed traces, with spans for your frameworks, database calls, and outbound requests. Because it requires a process restart, you enable it one service at a time. In the [layered model](../../concepts/layered-instrumentation/), this is Layers 3 to 5. +Application performance monitoring (APM) is the opt-in half of the agent. Where the eBPF baseline gives you Rate, Errors, and Duration (RED) metrics and a service map automatically, application APM attaches OpenTelemetry (OTel) auto-instrumentation to a service to produce full distributed traces, with spans for your frameworks, database calls, and outbound requests. Because it requires a process restart, you enable it one service at a time. ## The per-service opt-in flow -The flow is the same across every deployment mode, and it mirrors the Kubernetes experience you may already know: +The flow is the same across every deployment mode: 1. **Discover.** The agent inventories your services and lists them under **Discovered Services**. See [Discovery](../../concepts/discovery/). 2. **Toggle Instrument.** You turn on the **Instrument** toggle for a service. @@ -50,14 +50,14 @@ If an instrumented service fails to restart or falls into a crash loop, the agen | Node.js | OpenTelemetry Node.js instrumentation, attached per service | | Python | OpenTelemetry Python instrumentation, attached per service | | .NET | OpenTelemetry .NET auto-instrumentation (CLR profiler) | -| PHP | Native OpenTelemetry (PHP 8.2 and newer) or a dd-trace-based tracer (PHP 7 and 8.0 to 8.1) | +| PHP | Attached per service, covering both PHP 7 and PHP 8 | | Go | Covered by the eBPF baseline, not injected | The language agents ship inside the KloudMate agent package and are versioned with it, so there is no separate download to manage. ## Clean traces without duplicates -When you instrument a service, the agent tells the eBPF baseline to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF continues to trace the services around it. The two layers share a trace, so an instrumented service and its uninstrumented neighbors appear on one connected trace. +When you instrument a service, the agent tells the eBPF baseline to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF continues to trace the services around it. The two share one trace, so an instrumented service and its uninstrumented neighbors appear on one connected trace. ## Instrument everything (advanced) diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx index afc355e4..4e62be23 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx @@ -1,42 +1,27 @@ --- title: "PHP" -description: "How the KloudMate agent adds route-level tracing to PHP applications, including PHP 7 which has no native OpenTelemetry path, on Linux and Docker." +description: "How the KloudMate agent adds route-level tracing to PHP 7 and 8 applications on Linux and Docker." sidebar: order: 5 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -PHP is a special case. Zero-code OpenTelemetry (OTel) needs PHP 8, so PHP 7 has no native path, even though it is still widely run. The agent closes that gap: it picks the right tracer for the PHP version it finds, so both modern and legacy PHP applications produce route-level traces that join the same distributed traces as everything else. This applies on **Linux** (host PHP-FPM) and **Docker**. It does **not** apply on **Windows**. +The agent traces PHP **7.0 through 8.x** applications on **Linux** (host PHP-FPM) and **Docker**. It does **not** apply on **Windows**. -## How the agent chooses a tracer +## How it works -When you instrument a PHP service, the agent inspects the service's own PHP build (version, thread safety, and processor architecture) and selects one of two paths: - -- **Native OpenTelemetry** for PHP 8.2 and newer, when a matching OpenTelemetry PHP extension and software development kit (SDK) are available. This is the preferred, fully native path. -- **A dd-trace-based tracer** for PHP 7.0 through 8.1. The agent installs the stock `dd-trace-php` Zend extension, which speaks the Datadog trace protocol, and the agent's collector converts that protocol to clean OpenTelemetry through its built-in Datadog receiver. - -If neither path is available for a build, the agent skips it and reports the reason. - -Both paths attach with **no application code changes**. The agent installs the extension through a `php.ini` file in the scan directory and gracefully reloads the PHP process manager, so requests keep being served. Because a badly loaded PHP extension is not fatal, the agent verifies that the extension actually loaded before it reports success, and rolls back if it did not. - -## Supported versions - -| PHP version | Tracer | -|---|---| -| 8.2 and newer | Native OpenTelemetry (dd-trace fallback where a native build is not available) | -| 8.0 and 8.1 | dd-trace-based tracer | -| 7.0 through 7.4 | dd-trace-based tracer | +When you instrument a PHP service, the agent attaches tracing to it automatically, with **no application code changes**. It reloads the PHP process manager gracefully, so requests keep being served, and if tracing fails to load it rolls back. If a PHP build is not supported, the agent skips it and tells you why. ## What you get -The PHP tracer produces route-level server spans, database spans (for example, PDO calls), and error spans. It propagates W3C trace context (`traceparent`), so a PHP span shares its trace identifier with the eBPF baseline and with any upstream or downstream service. That means a PHP 7 application appears on the same connected trace as your other services, not as an isolated view. +The agent produces route-level server spans, database spans (for example, PDO calls), and error spans. It propagates W3C trace context (`traceparent`), so a PHP span shares its trace identifier with the eBPF baseline and with any upstream or downstream service. The overhead is small: a fixed cost of roughly 1.6 milliseconds per request, which is a low single-digit percentage on realistic requests. ## PHP in containers -In Docker, the agent instruments PHP containers using the dd-trace path, which automatically matches the container's PHP build. The instrumented application ships its traces to the agent through the container's host gateway. See [Docker platform notes](../../platform-notes/docker/) for the container details. +In Docker, the agent instruments PHP containers in place, matching the container's PHP build automatically. The instrumented application ships its traces to the agent through the container's host gateway. See [Docker platform notes](../../platform-notes/docker/) for the container details. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx index f66b42ee..194a6a10 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Sampling controls how many traces an instrumented service keeps. Capturing every request gives the highest fidelity but the highest ingestion cost, while sampling a fraction lowers cost at the expense of some detail. The agent lets you set a sensible global default and override it for individual services. Sampling applies to the opt-in application traces (Layers 3 to 5); the eBPF baseline metrics are collected separately. +Sampling controls how many traces an instrumented service keeps. Capturing every request gives the highest fidelity but the highest ingestion cost, while sampling a fraction lowers cost at the expense of some detail. The agent lets you set a sensible global default and override it for individual services. Sampling applies to the opt-in application traces; the eBPF baseline metrics are collected separately. ## Global default and per-service overrides diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx index 4f9165c2..f502d558 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx @@ -7,7 +7,7 @@ sidebar: import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; -Windows has no `LD_PRELOAD` and no production eBPF, but its dominant workload, .NET, has a mature zero-code tracing path through the Common Language Runtime (CLR) profiler. The agent uses that path for .NET, uses per-service environment for Java, Node.js, and Python, and provides a universal baseline through Event Tracing for Windows (ETW). The opt-in flow, consent, and rollback are the same as described in the [overview](../overview/). +Windows has no `LD_PRELOAD` and no production eBPF, but its dominant workload, .NET, has a mature zero-code tracing path through the Common Language Runtime (CLR) profiler. The agent uses that path for .NET, uses per-service environment for Java, Node.js, and Python, and provides a baseline for all IIS traffic through Event Tracing for Windows (ETW). The opt-in flow, consent, and rollback are the same as described in the [overview](../overview/). ## .NET applications @@ -55,7 +55,7 @@ These runtimes use the same language agents as Linux, injected through the per-s ## The ETW baseline -Because Windows has no eBPF, the agent provides a universal, zero-code baseline through a custom ETW receiver. It taps the HTTP.sys provider to emit: +Because Windows has no eBPF, the agent provides a zero-code baseline through a custom ETW receiver. It taps the HTTP.sys provider to emit: - **Server spans** for every request, at the request-path level. - **RED metrics** (Rate, Errors, and Duration) keyed by application pool. diff --git a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx index 2840fc07..3e1546d9 100644 --- a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx +++ b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx @@ -7,7 +7,7 @@ sidebar: import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; -Host metrics and logs are the agent's zero-config baseline. As soon as the agent is installed and checks in, it starts collecting infrastructure telemetry from the host and shipping it to KloudMate. You do not enable anything or write any configuration for this layer. In the [layered instrumentation model](../../concepts/layered-instrumentation/), this is Layer 1, and it sits directly on top of discovery (Layer 0). +Host metrics and logs are the agent's zero-config baseline. As soon as the agent is installed, it starts collecting infrastructure telemetry from the host and sending it to KloudMate. You do not enable anything or write any configuration. ## What flows automatically @@ -45,7 +45,7 @@ What the agent collects depends on the deployment mode, because each platform ex :::note -Host metrics and logs need no configuration. The other layers, such as the eBPF baseline and application tracing, build on top of this one. +Host metrics and logs need no configuration. The eBPF baseline and application tracing add to it when you enable them. ::: ## Where to view it @@ -60,12 +60,12 @@ The host baseline feeds the infrastructure and log views in KloudMate: The baseline collects system logs, not arbitrary application log **files**. To add your own log files, use [log monitoring](../../log-monitoring/): you point the agent at a folder and file-name pattern and choose how to parse each line, then preview the result before you save. Multiline grouping, for stack traces or pretty-printed JSON, is a modifier you apply on top of any format. For a hand-written receiver in manual mode, see [Collect file logs](../../../logs/collect-file-logs/). -## Relationship to the other layers +## What else the agent collects automatically -Host metrics and logs are Layer 1 of the [layered model](../../concepts/layered-instrumentation/). Two nearby layers build on them: +Alongside host metrics and logs, two more capabilities turn on without configuration: -- **Discovery (Layer 0)** inventories what runs on the host, so you can instrument it. See [Discovery](../../concepts/discovery/). -- **The eBPF baseline (Layer 2)** adds Rate, Errors, and Duration (RED) metrics, a service map, and Database Activity Monitoring on top, with no code changes. See [eBPF observability](../../ebpf-observability/). +- **Discovery** inventories what runs on the host, so you can instrument it. See [Discovery](../../concepts/discovery/). +- **The eBPF baseline** adds Rate, Errors, and Duration (RED) metrics, a service map, and Database Activity Monitoring, with no code changes. See [eBPF observability](../../ebpf-observability/). ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx index 7af45ecc..6f37700e 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx @@ -7,18 +7,18 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The KloudMate agent is built around a simple idea: you decide what to collect in the KloudMate web interface, and the agent on your host does the collecting. This page explains how the two sides work together and how the same model applies to each deployment mode. +With the KloudMate agent, you decide what to collect in the KloudMate web interface, and the agent on your host does the collecting. The two sides work the same way across every deployment mode. ## Two sides - **KloudMate (the web interface):** where you choose what each agent collects, and where you see the discovered inventory and the telemetry. - **The agent (on your host):** finds your services, collects host metrics and logs, applies instrumentation when you ask for it, and sends the telemetry to KloudMate. -The agent checks in with KloudMate regularly. It reports what it found and receives its settings. When you change a setting in the web interface, the agent picks it up on its next check-in and applies it for you. You do not edit files on the host or use Secure Shell (SSH). +The agent checks in with KloudMate regularly to report what it found and pick up its settings. When you change a setting in the web interface, the agent applies it on its next check-in. You never edit files on the host or use Secure Shell (SSH). ## Principles -A few ideas shape how the agent behaves: +A few principles shape how the agent behaves: - **The baseline is automatic; depth is opt-in.** Anything safe and low-risk (host metrics, logs, and the eBPF baseline) turns on by itself. Anything that needs a process restart is something you turn on per service. - **You do not write configuration.** You turn features on and off in the web interface, and KloudMate produces the settings for you. A manual editor is available for advanced setups. @@ -40,7 +40,7 @@ On Kubernetes, one cluster appears as one agent rather than one per node. See [K ## Next steps - + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx index b7732b46..a57090db 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx @@ -1,72 +1,59 @@ --- title: "Configuration model" -description: "How the KloudMate agent turns feature and integration toggles into collector configuration, and how managed and manual modes and credentials work." +description: "How managed and manual configuration modes work for the KloudMate agent, and how to provide database credentials safely." sidebar: - order: 4 + order: 3 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The configuration model is what lets you turn features on and off from the web interface instead of hand-editing collector YAML. It underpins the eBPF baseline, application performance monitoring (APM), database monitoring, and every other capability you toggle in the interface. This page explains how it works so the rest of the agent documentation can refer back to it. +In **managed mode**, you turn features on and off from the KloudMate web interface and the agent is configured for you, with no hand-edited YAML. This is how new agents run by default, and it covers host metrics, the eBPF baseline, application performance monitoring (APM), database monitoring, and everything else you toggle in the interface. -## From toggles to configuration - -Instead of storing one opaque YAML blob per agent, KloudMate stores a structured set of **integrations** for each agent and generates the collector configuration from them. An integration is a single capability, such as `hostmetrics`, `logs`, `ebpf`, `postgresql`, `mysql`, `redis`, or `nginx`. Each integration has: - -- An **enabled** flag. -- **Settings** specific to that integration, such as collection intervals, endpoints, or a credential reference. -- **Platform applicability**, so an integration only appears where it makes sense. -- An optional **capability gate**. For example, the `ebpf` integration is gated on the host's kernel version, so it is skipped with a reason when the kernel is too old. - -When you toggle an integration, the control plane recompiles the configuration from your enabled integrations and a platform base profile, and the agent applies the result on its next check-in. You never edit the YAML directly in this flow. +A feature only appears where it applies. For example, the eBPF baseline is offered only on hosts with a supported Linux kernel. ## Managed and manual modes -Every agent has a `config_mode` that is either **managed** or **manual**. +Every agent runs in one of two configuration modes. | | Managed mode | Manual mode | |---|---|---| -| Who owns the configuration | KloudMate generates it from your integrations | You own the raw YAML | +| Who owns the configuration | KloudMate, from the features you enable | You own the raw YAML | | YAML editor | Read-only preview | Editable | -| Feature and integration toggles | Available | Disabled | +| Feature toggles | Available | Disabled | | Default for | New agents | Existing agents after upgrade | -- In **managed mode**, the configuration is generated from your enabled integrations every time. The YAML editor shows a read-only preview of what was generated. Toggling a feature regenerates the configuration. -- In **manual mode**, you own the YAML blob. The integration toggles are disabled, and the YAML editor is writable. This is for advanced setups that need hand-tuned configuration. - -TODO(screenshot): the managed/manual mode toggle and the integrations panel in Agent settings. - -## No needless restarts +- **Managed mode** is the default and the recommended way to run the agent. You enable features in the interface, and the YAML editor shows a read-only preview. +- **Manual mode** is for advanced, hand-tuned setups. You own the raw YAML, and the feature toggles are off. -The same set of enabled integrations always produces the same configuration. So toggling features on and off, or making a change that doesn't actually alter the configuration, doesn't trigger an unnecessary collector restart. +TODO(screenshot): the managed/manual mode toggle in Agent settings. -## Rolling back a change +## Undo a change -A managed configuration is not kept as a history you roll back to, because it does not need to be. It is generated deterministically from your enabled integrations and feature toggles, and validated before it is applied, so it is always reproducible. To undo a managed change, flip the toggle back and KloudMate regenerates the earlier configuration. There is no separate history list or rollback button. +To undo a managed change, turn the toggle back. There is no separate history or rollback button. -The one configuration KloudMate does preserve is a **manual** one: when you switch an agent from manual to managed mode, it snapshots the hand-edited configuration first, so switching never loses your manual edits. +If you switch an agent from manual to managed mode, KloudMate saves a copy of your hand-edited YAML first, so you never lose your manual edits. ## Credentials -Integrations that need credentials, such as database receivers, support two ways to provide them: +Some integrations, such as database receivers, need credentials. You can provide them two ways: -- **Environment or secret reference (default):** the credential is stored as a reference, and the generated configuration emits a placeholder that the agent resolves from an environment variable on the host. The plaintext value never leaves the host. -- **Plaintext inline (opt-in):** the value is stored and written into the generated configuration directly. The interface shows a clear "stored unencrypted" warning, because the value then lives in the configuration and on the agent's disk. +- **Environment reference (default):** the value stays on the host as an environment variable and never reaches KloudMate or the stored configuration. This is recommended, and it makes rotation easier: you update the secret on the host without touching the agent. +- **Plaintext inline (opt-in):** the value is stored in the configuration, and the interface warns you that it is stored unencrypted. Use this only when you accept that trade-off. -Environment reference is the recommended default, and it also makes credential rotation easier, because you update the secret on the host without changing the agent's configuration. See [Database credentials](../../database-monitoring/credentials/). +See [Database credentials](../../database-monitoring/credentials/). ## Migrating existing agents -When an agent is upgraded, it defaults to **manual** mode so nothing changes unexpectedly: it keeps serving the configuration it had. To adopt the structured model, you switch the agent to **managed** mode, which seeds its integrations from a sensible default profile plus anything discovery has found. New agents start in managed mode with the default profile of host metrics, logs, and the eBPF baseline. +When an agent is upgraded, it stays in **manual** mode so nothing changes unexpectedly. To adopt managed mode, switch it in the interface; it starts from a sensible default of host metrics, logs, and the eBPF baseline, plus anything discovery found. New agents already start in managed mode. :::caution -Switching an agent from manual to managed mode replaces its hand-edited YAML with generated configuration. KloudMate snapshots the previous manual configuration when you switch, so it is not lost, but review the change before you switch a production agent. +Switching an agent from manual to managed mode replaces its hand-edited YAML with generated configuration. KloudMate saves the previous manual configuration first, so it is not lost, but review the change before you switch a production agent. ::: ## Next steps - + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx index 8167301b..69ee6174 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx @@ -2,12 +2,12 @@ title: "Discovery" description: "How the KloudMate agent inventories the services, runtimes, and databases on each host, and how that inventory powers instrumentation and monitoring." sidebar: - order: 3 + order: 2 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Discovery is the foundation of every opt-in action in the agent. It builds a live inventory of what runs on each host or cluster, so the web interface can offer to instrument a service or monitor a database instead of asking you to configure it by hand. Discovery runs on all deployment modes. +Discovery builds a live inventory of what runs on each host or cluster, so the web interface can offer to instrument a service or monitor a database instead of asking you to configure it by hand. It runs on all deployment modes. ## What discovery finds @@ -37,33 +37,18 @@ TODO(screenshot): Discovered Services list on the host detail page, showing runt ## Stable service identity -Each discovered service is assigned a **stable identity** that survives restarts and process-ID churn. This is what lets an "Instrument" choice keep applying after a service restarts or its process ID changes. The identity is chosen in this order of preference: - -1. The **systemd unit name** (for example, `checkout.service`) when the process belongs to a unit. This is the most stable key. -2. The **container image or Compose service** when the service runs in a container, so a selection survives container restarts rather than tracking a throwaway container ID. -3. A **fingerprint** of the executable path, normalized command line, and listen ports for a bare process. - -Because the identity is derived the same way on the agent and in the control plane, both sides agree on which service is which without extra coordination. - -## Where discovery gets its data - -Discovery combines several sources so it stays accurate on any kernel: - -- **eBPF service detection** is the primary source where the extended Berkeley Packet Filter (eBPF) baseline is enabled. It already detects services and languages and watches process lifecycle. -- A **process scan** runs alongside for completeness, catching idle or just-started services that eBPF has not reported yet. -- On kernels without eBPF, the process scan is the fallback, so discovery still works. -- On **Windows**, discovery reads IIS sites and application pools, the Service Control Manager, and Windows Management Instrumentation (WMI) to enumerate services and their listen ports. See [Windows platform notes](../../platform-notes/windows/). +Each discovered service gets a **stable identity** that survives restarts and process-ID changes. This is what lets an **Instrument** choice keep applying after a service restarts: you instrument `checkout`, not a process that will be gone after the next deploy. ## Privacy and safety -Discovery is designed to keep sensitive data on the host: +Discovery keeps sensitive data on the host: -- It **never sends raw environment variables or full command lines** to the control plane, because these can contain secrets. It extracts only the signals it needs to classify a service (runtime, version, and listen ports) and discards the rest. -- It respects a deny-list so it does not surface or try to instrument the agent itself or developer tools. +- It **never sends raw environment variables or full command lines** to KloudMate, because these can contain secrets. It extracts only what it needs to classify a service (runtime, version, and listen ports) and discards the rest. +- It skips the agent itself and developer tools, so they are not listed or instrumented. ## How discovery powers the rest of the agent -The Discovered Services list is the entry point for the opt-in layers: +The Discovered Services list is the entry point for the opt-in features: - **Application APM:** each instrumentable service carries an **Instrument** toggle that starts the per-service tracing flow. See [Application APM](../../auto-instrumentation/overview/). - **Database monitoring:** a discovered database starts the monitoring wizard, which prefills the engine and endpoint. See [Database monitoring](../../database-monitoring/overview/). @@ -71,7 +56,7 @@ The Discovered Services list is the entry point for the opt-in layers: ## Next steps - + diff --git a/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg b/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg deleted file mode 100644 index f8aad431..00000000 --- a/src/content/docs/docs/kloudmate-agent/concepts/images/instrumentation-flow.svg +++ /dev/null @@ -1,106 +0,0 @@ - - How zero-code instrumentation works - The KloudMate agent runs on virtual machines and Docker hosts and covers the whole stack three ways with no source-code changes: kernel-level eBPF reads traffic on the wire for app traces and database activity with no restart; per-language runtime instrumentation adds deep, framework-aware traces; and database monitoring connects with read-only access to surface slow queries, locks and health. The agent processes everything on your host and sends it securely to KloudMate. - - - - - - - - - KloudMate agent - - - - - - - Runs on VMs and Docker - - How zero-code instrumentation works - The agent covers your whole stack three ways, and none of them touch your source code. - - - Install the agent - - - - Auto-discover services - apps, databases and runtimes on the host - - - - - - - No source-code changes, ever. - - - - - - - - eBPF · kernel level - - runtime instrumentation - - database monitoring - - - Attach eBPF probes - nothing to deploy - - - Read traffic on the wire - HTTP, gRPC and SQL - - - - App traces + DB activity - every request · no restart - - - Auto-instrument the app - Java · Node · Python · .NET · PHP - - - Restart, health-gated - restart, not rewrite · auto-rollback - - - - Deep, framework-aware traces - method level · no code edits - - - Connect, read-only - guided by a wizard - - - Run safe queries + logs - top queries, locks, health - - - - Slow queries, locks, health - per database · no app changes - - - - - - - - Processed on your host - lightweight and secure - - - - KloudMate - traces · service map · database monitoring - - - green = no source-code changes - diff --git a/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx b/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx deleted file mode 100644 index ef3c5830..00000000 --- a/src/content/docs/docs/kloudmate-agent/concepts/layered-instrumentation.mdx +++ /dev/null @@ -1,74 +0,0 @@ ---- -title: "The layered instrumentation model" -description: "The KloudMate agent collects telemetry in layers, from the automatic host and eBPF baseline through opt-in application and database tracing." -sidebar: - order: 2 ---- - -import { LinkCard, CardGrid } from '@astrojs/starlight/components'; - -The KloudMate agent organizes what it collects into six layers, labeled L0 through L5. The lower layers are automatic and carry no risk to your applications. The upper layers require a process restart, so you turn them on for each service when you are ready. This lets you get value right away and add deeper tracing at your own pace. - -## The layers at a glance - -| Layer | What it provides | How it turns on | -|---|---|---| -| L0: Discovery | Live inventory of services, runtimes, and databases | Automatic | -| L1: Host metrics and logs | CPU, memory, disk, network, and system logs | Automatic | -| L2: eBPF baseline | RED metrics, service map, Database Activity Monitoring, context propagation | Automatic (kernel-gated) | -| L3: Application APM | Distributed traces for Java, Node.js, Python, .NET | Opt-in per service | -| L4: Databases | Database metrics, query performance, and logs | Opt-in per database | -| L5: Legacy application traces | Route-level traces for PHP 7 | Opt-in per service | - -![The KloudMate instrumentation flow: install, discover, and collect the automatic baseline, then opt in to application, database, and legacy tracing per service.](./images/instrumentation-flow.svg) - -## The automatic baseline (L0 to L2) - -The first three layers turn on without any configuration and without touching your applications. - -### L0: Discovery - -Discovery inventories the application services, runtimes, and databases running on each host or cluster. It records each service's runtime (Java, .NET, Node.js, Python, PHP, Go, and Ruby), how it is managed, and which ports it listens on, and it marks whether the agent has a way to instrument it. This inventory powers the "we found these services, instrument them?" prompts in the web interface. See [Discovery](../discovery/). - -### L1: Host metrics and logs - -After install, the agent collects host metrics (CPU, memory, disk, and network) and system logs automatically. It needs no configuration. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). - -### L2: eBPF baseline - -Where the Linux kernel supports it, the extended Berkeley Packet Filter (eBPF) baseline turns on by default. It watches traffic in the kernel to produce: - -- **RED metrics** (Rate, Errors, and Duration) for your services. -- A **network service map** with service-to-service latency. -- **Database Activity Monitoring (DAM)**, which shows the database queries your applications run, with no credentials. -- **Trace-context propagation** across services, and links between logs and traces. - -None of this needs code changes or SDKs. See [eBPF observability](../../ebpf-observability/). - -## Opt-in depth (L3 to L5) - -The upper layers attach to individual services and need a restart of that service, so you enable them one at a time. - -### L3: Application APM - -Application performance monitoring (APM) attaches tracing to an application to produce full distributed traces. You turn on a service to instrument it, agree to the restart, and traces begin flowing, joined with the eBPF spans from L2. Supported runtimes include Java, Node.js, Python, and .NET. See [Application APM](../../auto-instrumentation/overview/). - -### L4: Databases - -Database monitoring reads the database's own health metrics and logs, such as connections, cache hit ratio, replication lag, and slow queries. This works with the eBPF view at L2: eBPF shows the queries your applications run, while database monitoring shows the database's own health. See [Database monitoring](../../database-monitoring/overview/). - -### L5: Legacy application traces - -PHP 7 has no native tracing path, so the agent brings route-level tracing to PHP 7 applications through a dedicated tracer. The resulting traces join the same distributed traces as everything else. See [PHP instrumentation](../../auto-instrumentation/php/). - -## Why the layers are split - -The automatic layers give you safe visibility as soon as the agent is installed. The opt-in layers need a restart, so you enable them one service at a time: turn one on, check the result, then do more. You are never forced to instrument everything at once. - -## Next steps - - - - - - diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx index 9b45f9a7..0c00178c 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx @@ -13,7 +13,7 @@ Database monitoring needs a monitoring user's credentials to read from the datab ### Environment reference (default) -The credential is stored as a reference, not a value. The generated configuration contains a placeholder such as `${env:KM_SECRET_}`, and the agent resolves it from an environment variable at runtime. The plaintext value never reaches KloudMate, the pushed configuration, or the collector's config file. This is the default and the recommended mode. +The credential is stored as a reference, not a value. The agent reads it from an environment variable on the host at runtime, so the plaintext value never reaches KloudMate or the stored configuration. This is the default and the recommended mode. The agent also handles escaping for you, so a password with special characters works in a connection string without you having to encode it. @@ -28,12 +28,9 @@ The credential is still an environment reference, but you supply the environment - **On a virtual machine:** set `KM_SECRET_` for the agent, for example through the systemd `EnvironmentFile`. - **On Kubernetes:** put `KM_SECRET_` in a Kubernetes Secret and point the Helm release at it with the `dbMonitoring.secretName` value. See [Database monitoring on Kubernetes](../on-kubernetes/). -## Why environment reference is the default +## Rotation -Keeping the secret out of the configuration has two benefits: - -- **The value stays local.** It never travels to KloudMate or into stored configuration, so your database password is not exposed through the control plane. -- **Rotation is easy.** Because the configuration holds only a reference, you rotate a password by updating the environment variable or Secret, without changing the agent's configuration. +Because the reference modes store only a reference, you rotate a database password by updating the environment variable or Kubernetes Secret on the host, with no change to the agent's configuration. :::note On Kubernetes, the collector reads the Secret when its pod starts, so a rotated password takes effect on the next pod restart. See the ordering note in [Database monitoring on Kubernetes](../on-kubernetes/). diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx index 3bfbb4cc..a286f20e 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx @@ -19,7 +19,7 @@ The agent finds databases running in your cluster and prefills the wizard with t ## Managed mode is required -Database monitoring folds into the generated configuration, so it needs the agent in **managed mode**. On Kubernetes, database monitoring is a "Configure databases" action on the agent, and it prompts you to switch to managed mode if the agent is still in manual mode. See the [configuration model](../../concepts/config-model/). +Database monitoring needs the agent in **managed mode**. On Kubernetes, it is a "Configure databases" action on the agent, and it prompts you to switch to managed mode if the agent is still in manual mode. See the [configuration model](../../concepts/config-model/). ## Available coverages @@ -46,7 +46,7 @@ Credentials use an environment reference backed by a Kubernetes Secret that you --set dbMonitoring.secretName=km-db-creds ``` -3. **Configure the database** in the wizard, referencing the key by name. The password value stays in the cluster: it never reaches KloudMate, the pushed configuration, or the ConfigMap. +3. **Configure the database** in the wizard, referencing the key by name. The password stays in the cluster and never reaches KloudMate. :::caution @@ -75,7 +75,7 @@ Because the collector reads the Secret at pod startup, create the Secret and run ``` -After you apply the configuration, the cluster collector compiles and starts scraping PostgreSQL, and its metrics carry the same database identity as the application spans that hit it. +After you apply the configuration, the cluster collector starts collecting from PostgreSQL, and its metrics carry the same database identity as the application spans that hit it. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx index ff707e8f..336b64c8 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx @@ -31,7 +31,7 @@ A database on the host often listens on `localhost`, which is not unique across 4. **Apply the setup steps** the wizard shows, such as creating the monitoring role and granting it the right permissions. -5. **Save.** The agent compiles the configuration, validates it, and starts collecting. +5. **Save.** The agent applies the configuration and starts collecting. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx index ae3eac9e..a6f1d0f8 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Database monitoring gives you a full picture of your databases, and the agent sets up the collection for you through a wizard instead of hand-written configuration. In the [layered model](../../concepts/layered-instrumentation/), this is Layer 4, and it works alongside the eBPF baseline at Layer 2. +Database monitoring gives you a full picture of your databases. The agent sets up the collection for you through a wizard, instead of hand-written configuration, and it works alongside the automatic eBPF view of your queries. ## Two views of your databases diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index 0b59c2e1..5a76247a 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -7,9 +7,9 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Extended Berkeley Packet Filter (eBPF) lets the KloudMate agent observe your applications directly from the Linux kernel. You get deep visibility into network traffic, database queries, and application performance **without changing a single line of code or installing SDKs**. +Extended Berkeley Packet Filter (eBPF) lets the KloudMate agent observe your applications directly from the Linux kernel. You get visibility into network traffic, database queries, and application performance **with no code changes and no SDKs**. -eBPF is part of the agent's automatic baseline. On a managed-mode agent, it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map as soon as the agent is running. This page covers what it collects, the kernel requirements, how it degrades gracefully, and how to tune it. In the [layered model](../concepts/layered-instrumentation/), this is Layer 2. +eBPF is part of the agent's automatic baseline. On a managed-mode agent, it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map as soon as the agent is running. ## What eBPF collects @@ -21,7 +21,7 @@ When the eBPF baseline is active, the agent collects: - **Distributed context propagation:** the agent reads and injects HTTP trace context (`traceparent`), so requests stay on one trace across services. - **Log-to-trace correlation:** trace identifiers are added to application logs so you can jump between a log line and its trace. -Because eBPF observes traffic in the kernel, it covers services you have not instrumented, including Go services, which the agent does not inject. When a service is also instrumented at Layer 3, the eBPF spans and the application spans share the same trace, giving you end-to-end traces where uninstrumented hops still appear. +Because eBPF observes traffic in the kernel, it covers services you have not instrumented, including Go services, which the agent does not inject. When a service is also instrumented with application APM, the eBPF spans and the application spans share the same trace, so uninstrumented hops still appear in end-to-end traces. ## Deployment modes and requirements @@ -37,14 +37,15 @@ On Linux, eBPF needs: The agent runs with the privileges it needs for eBPF by default on Linux. On Kubernetes, the collector pods run with the required host access. -## Automatic enablement and graceful degradation +## When eBPF turns on -The agent reports its host capabilities (kernel version, BTF presence, available privileges, and whether `debugfs` is mounted) to KloudMate on every check-in. KloudMate uses those capabilities to decide whether to enable eBPF: +Whether eBPF turns on, and how much of it, depends on the host's kernel version, privileges, and whether `debugfs` is mounted: -- **Supported host:** eBPF is included in the generated configuration and turns on automatically. -- **Kernel 4.14 to 5.8, or no BTF:** eBPF loads with reduced features, and the reason is recorded. -- **Unsupported host (kernel older than 4.14, `debugfs` not mounted, or missing privileges):** eBPF is skipped, and KloudMate shows the reason (for example, "eBPF unavailable: kernel 4.9"). The host still gets host metrics and logs. -- **Runtime load failure despite a supported host:** the agent fails soft. It never crashes the collector or affects other pipelines, reports a degraded status, and discovery falls back to scanning processes. +- **Supported host:** eBPF turns on automatically. +- **Kernel 4.14 to 5.8, or no BTF:** eBPF runs with reduced features. +- **Unsupported host** (kernel older than 4.14, `debugfs` not mounted, or missing privileges): eBPF is skipped, and KloudMate shows the reason, for example "eBPF unavailable: kernel 4.9". The host still gets host metrics and logs. + +If eBPF cannot load on a host that should support it, the host keeps its metrics and logs and KloudMate reports why. ## Tuning eBPF @@ -127,7 +128,7 @@ Once the agent is collecting eBPF telemetry, confirm it in these views: ## Related - + diff --git a/src/content/docs/docs/kloudmate-agent/index.mdx b/src/content/docs/docs/kloudmate-agent/index.mdx index 4f682f66..e35541c2 100644 --- a/src/content/docs/docs/kloudmate-agent/index.mdx +++ b/src/content/docs/docs/kloudmate-agent/index.mdx @@ -8,28 +8,30 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The **KloudMate Agent** is a single program that you install on your servers, containers, or clusters. Once it is running, it finds what you run, starts collecting host metrics and logs, and turns on kernel-level observability. From there, you can add deeper application tracing one service at a time, all from the KloudMate web interface. +The **KloudMate Agent** is a single program you install on your servers, containers, or clusters. Once running, it finds what you run, collects host metrics and logs, and turns on kernel-level observability. You can then add deeper application tracing one service at a time, all from the KloudMate web interface. -The agent is built on the **OpenTelemetry (OTel) Collector** and ships with a curated set of components, so you get simple deployment, remote configuration, and **extended Berkeley Packet Filter (eBPF)** observability without writing collector configuration. +It is built on the **OpenTelemetry (OTel) Collector** with a curated set of components, so you get straightforward deployment, remote configuration, and **extended Berkeley Packet Filter (eBPF)** observability without writing collector configuration. -It is built on the **OpenTelemetry (OTel) Collector**, with a curated set of components for simplified deployment, remote configuration, and **eBPF-powered kernel-level observability**. - -You install the agent once and manage it from the KloudMate web interface. When you change a setting, the agent picks it up and applies it for you, so you do not need Secure Shell (SSH) access or local file edits. Each agent is uniquely identifiable, so you can track its health and status from your dashboards. +You manage the agent from the KloudMate web interface. When you change a setting, the agent applies it for you, so you do not need Secure Shell (SSH) access or local file edits. You can track each agent's health and status from your dashboards. To go deeper, read [Architecture](concepts/architecture/) and the [Configuration model](concepts/config-model/). ## What the agent collects -The agent collects telemetry in layers. The lower layers are automatic. The upper layers need a process restart, so you turn them on per service when you are ready. +Some of what the agent collects is automatic. The rest needs a process restart, so you turn it on per service when you are ready. + +Automatic, as soon as the agent is installed: - **Discovery:** a live inventory of the services, runtimes, and databases running on each host or cluster. -- **Host metrics and logs:** CPU, memory, disk, and network metrics plus system and application logs, with no configuration. +- **Host metrics and logs:** CPU, memory, disk, and network metrics plus system logs, with no configuration. - **eBPF baseline:** Rate, Errors, and Duration (RED) metrics, a network service map, Database Activity Monitoring (DAM), and trace-context propagation, with no code changes. -- **Application performance monitoring (APM):** distributed traces for Java, Node.js, Python, .NET, and PHP applications, added per service. + +Opt in per service or database: + +- **Application performance monitoring (APM):** distributed traces for Java, Node.js, Python, .NET, and PHP applications. - **Database monitoring:** health metrics, query performance, and logs for your databases. -- **Agent health:** the agent's own status and error logs, so you can see how it is doing. -Read [The layered instrumentation model](concepts/layered-instrumentation/) for what each layer gives you. +The agent also reports its own status and error logs, so you can see how it is doing. ## Supported platforms @@ -64,7 +66,6 @@ On Linux, the eBPF baseline needs kernel 4.14 or newer, and unlocks more on 5.8 - diff --git a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx index 2eb296f3..ec3917f2 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx @@ -5,7 +5,7 @@ sidebar: order: 4 --- -This document guides you through installing the **KloudMate Agent** on your host using Docker for **host metrics** and **log collection**. +Run the **KloudMate Agent** as a Docker container to collect host and container metrics and logs. ## **What the Docker Agent Monitors** diff --git a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx index b57c32e6..7b9b3594 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx @@ -79,7 +79,7 @@ View all collected data in these KloudMate sections: ## Pre-requisites -The install script is a control-plane orchestrator: you run it once from any machine that has AWS credentials for your account (your laptop, a CI job, or AWS CloudShell). It drives the ECS API and does **not** run on your container hosts. +You run the install script once from any machine that has AWS credentials for your account (your laptop, a CI job, or AWS CloudShell). It drives the ECS API and does **not** run on your container hosts. Before you start, make sure you have: diff --git a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx index 2781baee..8ac0889a 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx @@ -84,7 +84,7 @@ Paste cloud-init.yaml content into: ECS Console → Instance → Advanced Option ## 2. Ansible -Ansible is perfect for deploying the KloudMate agent to existing VM fleets. +Use Ansible to deploy the KloudMate agent to existing VM fleets. **Navigate to the Ansible directory** @@ -206,7 +206,7 @@ ansible all -i inventories/production.ini -m shell \ ## 3. Terraform Module -You can easily embed kmagent into your Terraform deployments across any provider using our user-data module. +Embed kmagent into your Terraform deployments across any provider using the user-data module. diff --git a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx index 8f338b94..2be43fae 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx @@ -5,7 +5,7 @@ sidebar: order: 2 --- -This document will guide you to instrument Kubernetes using the **KloudMate Agent** via **DaemonSet** and **Deployment**. +Deploy the **KloudMate Agent** to Kubernetes with a **DaemonSet** and **Deployment**. **What the Kubernetes Agent Monitors** diff --git a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx index 4203ec0f..993073a1 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx @@ -5,7 +5,7 @@ sidebar: order: 3 --- -This document provides clear instructions for installing the **KloudMate Agent** on a Linux machine. +Install the **KloudMate Agent** on a Linux machine. **Supported Platforms:** Debian/Ubuntu, RHEL/CentOS. @@ -81,7 +81,7 @@ For a hand-written `filelog` receiver in manual mode, see [Collect File Logs wit ## Configuration and next checks -New agents start in **managed mode**, so KloudMate generates the collector configuration for you from a default profile of host metrics, logs, and the eBPF baseline. You review and change what is collected from the web interface, without editing files on the host. See the [configuration model](../../concepts/config-model/). +New agents start in **managed mode**, with a default of host metrics, logs, and the eBPF baseline. You review and change what is collected from the web interface, without editing files on the host. See the [configuration model](../../concepts/config-model/). After the agent is running, confirm the baseline and explore what it found: diff --git a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx index 60f647b1..5f56addd 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx @@ -5,7 +5,7 @@ sidebar: order: 6 --- -This document will guide you through installing the **KloudMate Agent** on your Windows machine **(Windows Server 2016+)**. +Install the **KloudMate Agent** on Windows **(Windows Server 2016+)**. :::note The commands below are for reference only. Log in to KloudMate and copy your account-specific command to install the Agent. diff --git a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx index 7d953501..c874b6d7 100644 --- a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx +++ b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx @@ -7,7 +7,7 @@ sidebar: import { Steps, Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; -Log monitoring is a wizard where you point the agent at log files on a host and choose how to parse them, instead of hand-writing collector configuration. You give the agent a folder and a file-name pattern, pick a parse format, and the agent turns your choices into an OpenTelemetry (OTel) `filelog` receiver on its embedded collector. It is the log sibling of [database monitoring](../database-monitoring/overview/): the same discovery-led, auto-wired style, but for log files instead of databases. +Log monitoring is a wizard where you point the agent at log files on a host and choose how to parse them, instead of hand-writing collector configuration. You give the agent a folder and a file-name pattern, pick a parse format, and the agent turns your choices into an OpenTelemetry (OTel) `filelog` receiver. It is the log sibling of [database monitoring](../database-monitoring/overview/): the same discovery-led, auto-wired style, but for log files instead of databases. It applies to Linux and Windows virtual machine (VM) hosts and to Docker. It is **not available on Kubernetes**, where pod and container logs are already collected for you. See [Not available on Kubernetes](#not-available-on-kubernetes) below. @@ -16,7 +16,7 @@ It applies to Linux and Windows virtual machine (VM) hosts and to Docker. It is Log monitoring is a managed-mode feature. You configure sources from the agent's **Configuration** page, on the **Logs** tab, and KloudMate compiles them into the agent's collector configuration along with everything else you have toggled on. See the [configuration model](../concepts/config-model/) for how managed mode works. - **Managed mode only.** The Logs tab is available when the agent is in managed mode. If the agent is in manual mode, the tab prompts you to switch, because log sources fold into the generated configuration. You can still add a `filelog` receiver by hand in manual mode: see [Manual configuration](#manual-configuration). -- **One receiver per source.** Each source you add compiles into its own `filelog` receiver and its own logs pipeline, so one badly configured source cannot affect the others or your host baseline logs. +- **Independent sources.** Each source is isolated, so one badly configured source cannot affect the others or your host baseline logs. - **It builds on the baseline.** The host baseline already ships system logs (the systemd journal on Linux, the Windows Event Log, container output on Docker) with no configuration. Log monitoring is for the extra application log **files** that the baseline does not pick up. See [Host metrics and logs](../baseline/host-metrics-and-logs/). ## Add a log source diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index 70cdc772..1c52d10a 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -68,7 +68,7 @@ You can switch an agent between modes. Switching from manual to managed replaces ### Rolling back a change -Managed configuration is generated from your feature and integration toggles, so to undo a change you flip the toggle back and KloudMate regenerates the earlier configuration. There is no separate history list or rollback button, because a managed configuration is always reproducible from your selections. When you switch an agent from manual to managed mode, KloudMate snapshots the hand-edited configuration first, so switching never loses your manual edits. See the [configuration model](../concepts/config-model/). +To undo a managed change, turn the toggle back. There is no separate history or rollback button. Switching an agent from manual to managed mode saves your hand-edited YAML first, so you never lose it. See the [configuration model](../concepts/config-model/). ### Common Configurations @@ -129,9 +129,7 @@ ebpf: When an agent shows as **Unreachable** or **Degraded** in **Settings → Agents**, you'll usually want its logs. Each agent sends its own **ERROR-level logs** to your workspace, so you can read them in **Log Explorer** without SSHing into the host or running `docker logs` or `kubectl logs`. -These logs are sent separately from the collector's normal telemetry pipeline, through a dedicated logs exporter. This matters because the collector is the component that normally forwards telemetry. If it fails to start on an invalid config, it can't report that failure through the usual path, but the separate exporter still delivers it. - -Both the agent process and its collector send logs this way, so a failure in either one appears in the same place. +These logs are sent independently of the collector, so they still arrive even when the collector fails to start on an invalid config. Both the agent and its collector log this way, so a failure in either one appears in the same place. ### Find them in Log Explorer diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx index c199fbba..49826b91 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -This page is the deep reference for how the agent runs in Docker mode. For installation, see the [Docker installation guide](../../installation/docker-agent/). +How the agent runs in Docker mode. For installation, see the [Docker installation guide](../../installation/docker-agent/). ## What works today, with no injection @@ -20,7 +20,7 @@ So containerized applications get broad coverage as soon as the agent is running ## Application-level tracing in containers -Full application traces (Layer 3) need the language agent's startup environment inside the container, and host mechanisms such as systemd drop-ins do not cross the container boundary. How the agent handles this depends on the runtime: +Full application traces need the language agent's startup environment inside the container, and host mechanisms such as systemd drop-ins do not cross the container boundary. How the agent handles this depends on the runtime: - **PHP** containers can be instrumented in place: the agent installs the tracer inside the running container and reloads the process manager, with no redeploy. See [PHP instrumentation](../../auto-instrumentation/php/). - **Java, Node.js, Python, and .NET** read their instrumentation from environment variables set at process start, and you cannot change a running container's startup environment without recreating it. The agent does not recreate your running containers. Instead, it computes the exact environment and read-only mounts to instrument the container and surfaces them for you to apply at your **next deploy** (for example, as a Compose override). eBPF continues to cover these containers in the meantime. diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx index 899e6d7e..e76d6946 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx @@ -1,48 +1,35 @@ --- title: "Kubernetes platform notes" -description: "Deep reference for the KloudMate agent on Kubernetes: the fleet manager, collector pods, config-check protocol, per-node health, and ConfigMap management." +description: "How the KloudMate agent runs on Kubernetes: one agent per cluster, the fleet manager and collector pods, per-node status, and resource sizing." sidebar: order: 1 --- import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -This page is the deep reference for how the agent runs on Kubernetes. For installation, see the [Kubernetes installation guide](../../installation/kubernetes-agent/); for the shared model, see [Architecture](../../concepts/architecture/). +How the agent runs on Kubernetes. For installation, see the [Kubernetes installation guide](../../installation/kubernetes-agent/); for the shared model, see [Architecture](../../concepts/architecture/). -## One agent per cluster, two planes +## One agent per cluster -On Kubernetes, the agent keeps its own control-plane and data-plane split: +On Kubernetes, a whole cluster appears in KloudMate as **one agent**, not one per node. It runs as a few pods: -- **Fleet manager (control plane):** a single pod that checks in with KloudMate, applies the generated configuration to the cluster, and reports status back. It is the on-cluster applier. -- **Collector pods (data plane):** a **DaemonSet** (one collector per node) collects per-node metrics and pod logs and, where the kernel supports it, runs the eBPF baseline; a **Deployment** (a single replica) collects cluster metrics and events and acts as the OpenTelemetry (OTel) gateway. +- **Fleet manager:** a single pod that applies your configuration to the cluster and reports each collector's status back to KloudMate. +- **Collector pods:** a **DaemonSet** (one per node) collects per-node metrics and pod logs and, where the kernel supports it, runs the eBPF baseline. A **Deployment** (a single replica) collects cluster metrics and events and acts as the OpenTelemetry (OTel) gateway. -A cluster appears in KloudMate as **one agent**, not one per node. Per-node detail is carried on resource attributes rather than as separate agent rows. +## Per-node collector status -## The config-check protocol +The Kubernetes view shows real per-node collector health. If a collector pod goes down, its node's status reflects that, so you can see exactly which node is affected. -The agent and KloudMate use a single check-in protocol across all deployment modes. On Kubernetes, the fleet manager reports the cluster's capabilities (such as whether nodes support eBPF) and receives the generated configuration for both collectors. New fields are additive, so older agents keep working against the unified protocol. +## Self-logs per node -## Real collector status +Self-logs are shipped per node, from both the collector pods and the fleet manager, so you can see errors such as an invalid configuration without running `kubectl logs`. See [Agent self-logs](../../self-observability/self-logs/). -The fleet manager reports the collectors' **actual** status, not a fixed value. It queries the Kubernetes API for DaemonSet and Deployment readiness and per-node pod status, and reports that back to KloudMate. If you kill a collector pod, its node's status reflects it, so the Kubernetes view shows real per-node collector health. +## Do not hand-edit ConfigMaps -## Per-node health and self-logs - -Because a collector pod exits together with its collector, the agent does not run a separate per-pod health reporter. Instead: - -- **Self-logs** are shipped per node, with per-node identity, from both the collector pods and the fleet manager. You see errors such as an invalid configuration without running `kubectl logs`. See [Agent self-logs](../../self-observability/self-logs/). -- The collectors use their readiness probes for liveness and self-healing. - -## ConfigMap management - -The collectors read their configuration from ConfigMaps. To manage these safely: - -- The Helm chart **seeds** the ConfigMaps at install time. -- The fleet manager then **owns** the configuration in managed mode, writing the generated configuration into the ConfigMaps. -- Updates are applied carefully so they do not disturb parts of the configuration the fleet manager does not own, and a configuration change triggers a rollout so the collectors pick it up. +The collectors read their configuration from ConfigMaps that the agent manages. :::danger -Do not hand-edit the agent's ConfigMaps. In managed mode, the fleet manager owns them and will overwrite manual edits. Change configuration through KloudMate instead. See the [configuration model](../../concepts/config-model/). +Do not hand-edit the agent's ConfigMaps. In managed mode, the agent owns them and will overwrite manual edits. Change configuration through KloudMate instead. See the [configuration model](../../concepts/config-model/). ::: ## Resource usage and sizing diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx index 3fa3e0e9..772d437d 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -This page is the deep reference for how the agent runs on Windows. For installation, see the [Windows installation guide](../../installation/windows-agent/); for how .NET and other runtimes are instrumented, see [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/). +How the agent runs on Windows. For installation, see the [Windows installation guide](../../installation/windows-agent/); for how .NET and other runtimes are instrumented, see [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/). ## A different mechanism, the same model diff --git a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx b/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx deleted file mode 100644 index 206954e3..00000000 --- a/src/content/docs/docs/kloudmate-agent/reference/design-decisions.mdx +++ /dev/null @@ -1,42 +0,0 @@ ---- -title: "Design decisions" -description: "The architecture decisions behind the KloudMate agent in user terms: opt-in activation, the config model, eBPF default-on, PHP, and the unified protocol." -sidebar: - order: 3 ---- - -import { LinkCard, CardGrid } from '@astrojs/starlight/components'; - -This page summarizes the load-bearing design decisions behind the agent and what each one means for you. They explain why the agent behaves the way it does. - -## Opt-in, per-service instrumentation - -Rather than instrumenting every process on a host at once, the agent instruments one service at a time, when you choose to. So a problem with one service's instrumentation never affects the others. The eBPF baseline still gives you broad coverage as soon as the agent is installed, so you get value without a system-wide change. See [Application APM overview](../../auto-instrumentation/overview/). - -## Reuse the OpenTelemetry ecosystem - -The agent uses the standard OpenTelemetry (OTel) language agents for Java, Node.js, Python, and .NET, activated through the standard injection environment for each runtime. It does not use a custom loader. The language agents ship inside the KloudMate agent package, versioned with it, so they upgrade together and need no separate download. See [Linux (systemd)](../../auto-instrumentation/linux-systemd/). - -## Generated configuration, not a hand-edited blob - -Configuration is generated from a structured set of features and integrations rather than hand-edited YAML. This is what makes it safe to turn a feature on or off from the interface, and it avoids restarting the collector when nothing really changed. The raw YAML editor remains available for advanced setups. See the [configuration model](../../concepts/config-model/). - -## PHP through a version-gated tracer - -PHP 7 has no native OpenTelemetry path, so the agent uses a dd-trace-based tracer for PHP 7 and 8.0 to 8.1 (converted to clean OpenTelemetry) and native OpenTelemetry for PHP 8.2 and newer. One mechanism covers both modern and legacy PHP, and the traces join the same distributed traces as everything else. See [PHP instrumentation](../../auto-instrumentation/php/). - -## eBPF on by default, gated by capability - -The eBPF baseline is enabled by default rather than opt-in, because it gives you broad visibility with no configuration. It is gated by the host's kernel and privileges, and degrades gracefully where it is not supported, so the host still gets metrics and logs. See [eBPF observability](../../ebpf-observability/). - -## One protocol for every mode - -The agent and KloudMate use a single check-in protocol across virtual machines and Kubernetes, with platform-specific fields optional within it. New fields are additive, so older agents keep working. For you this is transparent: it is what lets the same discover, instrument, and report model work everywhere. See [Architecture](../../concepts/architecture/). - -## Related - - - - - - diff --git a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx index 0f453510..eb55e898 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx @@ -21,7 +21,7 @@ Definitions of the terms used across the agent documentation. **ETW (Event Tracing for Windows).** The Windows equivalent of the eBPF baseline. The agent taps ETW to produce request spans and RED metrics for IIS traffic. See [Windows platform notes](../../platform-notes/windows/). -**Fleet manager.** On Kubernetes, the control-plane pod that applies the generated configuration to the cluster and reports status back. See [Kubernetes platform notes](../../platform-notes/kubernetes/). +**Fleet manager.** On Kubernetes, the pod that applies the generated configuration to the cluster and reports each collector's status back. See [Kubernetes platform notes](../../platform-notes/kubernetes/). **Managed mode.** A configuration mode in which KloudMate generates the collector configuration from your enabled integrations, and the YAML editor is a read-only preview. Contrast manual mode. See the [configuration model](../../concepts/config-model/). @@ -44,7 +44,7 @@ Definitions of the terms used across the agent documentation. ## Related - - + + diff --git a/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx b/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx index 781d1648..01c10b37 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -This page is a reference to the kinds of metrics the agent produces at each layer. Metric names follow OpenTelemetry (OTel) conventions, so where a layer uses a standard receiver, its metrics match that receiver's documented set. +This page lists the kinds of metrics the agent produces. Metric names follow OpenTelemetry (OTel) conventions, so where the agent uses a standard receiver, its metrics match that receiver's documented set. ## Host metrics diff --git a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx index 1adf75dd..8eb8e1b5 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -For a database's server-side metrics to line up with the traces that hit it, every signal has to agree on how the database is identified. The agent enforces a single, consistent identity across metrics and traces so they join. This page explains that identity model and how to use it when building dashboards. +For a database's server-side metrics to line up with the traces that hit it, every signal has to agree on how the database is identified. The agent puts a single, consistent identity on metrics and traces so they join, and you can build dashboards on it. ## The identity keys diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx index d0cf6e24..bb4f3db1 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx @@ -9,10 +9,6 @@ import { LinkCard, CardGrid } from '@astrojs/starlight/components'; The agent reports on its own health so you can tell whether it is alive and whether its collector is running, without logging in to the host. These liveness metrics are reported **out-of-band**, on a path that does not go through the collector, so they keep arriving even when the collector is down. -## Why they are reported separately - -If the collector stops, it cannot send anything, including a report that it stopped. To avoid that blind spot, the agent reports its `kmagent.*` metrics itself, on a separate path from the collector. They keep arriving even when the collector is down, which is how you notice the outage. - ## The metric catalog The agent reports these metrics, all carrying the resource attributes below: @@ -43,7 +39,7 @@ Resource attributes: `service.name` is `kmagent` (so you can target it directly | The collector panicked | `kmagent.collector.up=0`, `reason=panic`, restart count increases (then it auto-restarts) | | A graceful shutdown | `reason=shutdown` | -The agent recovers from a collector panic and restarts the collector with a backoff, so a transient crash heals itself, and the restart count records that it happened. +The agent restarts the collector automatically after a crash, and the restart count records that it happened. ## Alerting on a silent agent diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx index 39cd683a..df04ac9d 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx @@ -17,10 +17,6 @@ The agent forwards its own **ERROR-level logs** directly to KloudMate. It ships - The **host or node** the agent runs on. - The **agent version**. -## Why it matters - -Without self-logs, an error like an invalid configuration or a failed instrumentation is only visible in the agent's local output, which means logging in to the host to read it. With self-logs, that error text appears in KloudMate, so you can see, for example, why a configuration push was rejected or why an instrumentation attempt failed, from the same place you manage the agent. - ## On Kubernetes On Kubernetes, self-logs are shipped per node, carried with per-node identity, so you can see errors from each node's collector and from the fleet manager without running `kubectl logs`. See [Kubernetes platform notes](../../platform-notes/kubernetes/). diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx index 23e52d9e..b4a97232 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx @@ -19,14 +19,9 @@ When enabled, the collector emits its standard `otelcol_*` metrics, including: These are the same metrics any OpenTelemetry Collector can produce, so they are familiar and well documented. -## Why it is opt-in and in-band +## Not a liveness signal -Two properties follow from where these metrics come from: - -- **It adds cost.** The collector produces a metric series per component, which increases the metric volume you ingest. For that reason it is off by default, and you turn it on when you want the detail. -- **It dies with the collector.** Because these metrics flow through the collector, they stop when the collector stops. That is why they are not a liveness signal: liveness is the job of the out-of-band [health metrics](../health-metrics/). - -The two tiers complement each other. If the health metrics show `kmagent.collector.up=1` but the collector self-telemetry goes silent, that divergence itself points to a wedged pipeline. +Because these metrics flow through the collector, they stop when the collector does, so they are not a liveness signal — that is the job of the out-of-band [health metrics](../health-metrics/). If the health metrics show `kmagent.collector.up=1` but self-telemetry goes silent, that gap points to a stuck pipeline. ## Enabling it diff --git a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx index da12df0c..846e3811 100644 --- a/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx +++ b/src/content/docs/docs/kloudmate-agent/troubleshooting.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -This page is organized by symptom. Two agent features are your diagnostic spine: the [health metrics](../self-observability/health-metrics/) tell you whether the agent and collector are up and why the collector is down, and the [self-logs](../self-observability/self-logs/) bring the agent's own error messages into KloudMate so you can read them without logging in to the host. Check both first. +Start with two agent features: the [health metrics](../self-observability/health-metrics/) tell you whether the agent and collector are up and why the collector is down, and the [self-logs](../self-observability/self-logs/) bring the agent's own error messages into KloudMate so you can read them without logging in to the host. Check both first. ## The agent will not start or stay up @@ -42,7 +42,7 @@ This page is organized by symptom. Two agent features are your diagnostic spine: - **A collector pod is crashing.** Check the pod's status in the Kubernetes view, which reflects real per-node collector status, and read the fleet manager and collector self-logs. A crash is often an invalid configuration. - **APM annotations were not applied.** Confirm APM is enabled and the workload is in a monitored namespace. See [Application APM on Kubernetes](../auto-instrumentation/kubernetes/). -- **Do not edit ConfigMaps by hand.** The fleet manager owns them in managed mode and will overwrite manual edits. See [Kubernetes platform notes](../platform-notes/kubernetes/). +- **Do not edit ConfigMaps by hand.** The agent owns them in managed mode and will overwrite manual edits. See [Kubernetes platform notes](../platform-notes/kubernetes/). ## What to attach when contacting support From 465e690946174fa411228d0e9a096a562e643fff Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Wed, 15 Jul 2026 12:59:45 +0530 Subject: [PATCH 13/39] agent v2 doc updates --- .../docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx | 2 +- .../kloudmate-agent/auto-instrumentation/overview.mdx | 6 +++--- .../docs/docs/kloudmate-agent/concepts/architecture.mdx | 2 +- .../docs/docs/kloudmate-agent/concepts/discovery.mdx | 2 +- .../kloudmate-agent/database-monitoring/credentials.mdx | 2 +- .../kloudmate-agent/database-monitoring/on-kubernetes.mdx | 2 +- .../docs/kloudmate-agent/database-monitoring/on-vm.mdx | 2 +- .../docs/kloudmate-agent/database-monitoring/overview.mdx | 2 +- src/content/docs/docs/kloudmate-agent/index.mdx | 2 +- src/content/docs/docs/kloudmate-agent/log-monitoring.mdx | 8 +++----- src/content/docs/docs/kloudmate-agent/management.mdx | 4 ++-- .../docs/docs/kloudmate-agent/platform-notes/docker.mdx | 4 +--- .../docs/docs/kloudmate-agent/platform-notes/windows.mdx | 2 +- .../kloudmate-agent/self-observability/health-metrics.mdx | 2 +- .../docs/kloudmate-agent/self-observability/self-logs.mdx | 4 ++-- .../kloudmate-agent/self-observability/self-telemetry.mdx | 2 +- .../docs/docs/kloudmate-agent/web-server-monitoring.mdx | 2 +- 17 files changed, 23 insertions(+), 27 deletions(-) diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx index 1f2b6f08..91ddba23 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx @@ -24,7 +24,7 @@ The result is close to what a language SDK would produce, without changing your ## How Go traces connect to other services -Because the eBPF baseline and the language agents both propagate W3C trace context (`traceparent`), a Go service joins the same distributed traces as its instrumented neighbors. When an instrumented service calls a Go service, the Go service's eBPF server span adopts the caller's trace, so you see one connected trace with a correct parent-child relationship, rather than two disjoint views. +The eBPF baseline and the language agents both propagate W3C trace context (`traceparent`). So when an instrumented service calls a Go service, the Go service's eBPF span adopts the caller's trace, and you see one connected trace with the correct parent-child relationship rather than two disjoint views. :::note In the Discovered Services list, a Go service is marked as covered by eBPF rather than as instrumentable, and its Instrument toggle is disabled. This is expected: the eBPF baseline is already tracing it. diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx index d4ba4a60..8e45fdf5 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -24,7 +24,7 @@ Throughout this flow, the eBPF baseline keeps covering the service, so there is Each service in the list shows a status chip so you always know where it stands: -- **Instrumented:** the drop-in or profiler is applied and the service restarted cleanly. +- **Instrumented:** instrumentation is applied and the service restarted cleanly. - **Pending restart:** the change is written but the service has not restarted yet. - **Failed, rolled back:** the restart failed, so the agent reverted the change (see rollback below). @@ -40,7 +40,7 @@ The agent never restarts your services silently. In this version: ## Automatic rollback -If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service, returning it to its previous state, and then reports the status as failed, rolled back. Your service returns to how it ran before, and the eBPF baseline continues to cover it. Because you instrument one service at a time, a problem with one service never affects the others. +If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service, returning it to its previous state, and reports the status as failed, rolled back. The eBPF baseline keeps covering it, and because you instrument one service at a time, a problem with one service never affects the others. ## Supported runtimes @@ -57,7 +57,7 @@ The language agents ship inside the KloudMate agent package and are versioned wi ## Clean traces without duplicates -When you instrument a service, the agent tells the eBPF baseline to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF continues to trace the services around it. The two share one trace, so an instrumented service and its uninstrumented neighbors appear on one connected trace. +When you instrument a service, the agent tells the eBPF baseline to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF keeps tracing the services around it, all on one connected trace. ## Instrument everything (advanced) diff --git a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx index 6f37700e..38354bde 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx @@ -32,7 +32,7 @@ The two-sided model is the same in every mode. What changes is how the agent is |---|---|---| | Linux / VM | A single agent as a systemd service. | Per service, using systemd. | | Windows | A single agent as a Windows service. | Per service or application pool, using the registry and Internet Information Services (IIS). | -| Kubernetes | A control pod plus collector pods. One agent represents one cluster. | Per workload, using the OpenTelemetry (OTel) Operator. | +| Kubernetes | A fleet-manager pod plus collector pods. One agent represents one cluster. | Per workload, using the OpenTelemetry (OTel) Operator. | | Docker | A containerized collector. | Host metrics, logs, and eBPF today; per-container tracing is rolling out. | On Kubernetes, one cluster appears as one agent rather than one per node. See [Kubernetes platform notes](../../platform-notes/kubernetes/). diff --git a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx index 69ee6174..d6eb3249 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx @@ -16,7 +16,7 @@ The agent enumerates two kinds of things: - **Application services**, classified by runtime (Java, .NET, Node.js, Python, PHP, Go, and Ruby), with framework and web-server hints (nginx, Apache, and php-fpm) where they apply. - **Databases and middleware** running locally, such as PostgreSQL, MySQL, Redis, and MongoDB. -For each service, discovery records how it is managed and which ports it listens on, so instrumentation and database wiring know what to act on. +For each service, discovery records how it is managed and which ports it listens on. ## The Discovered Services list diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx index 0c00178c..26a2d4c9 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/credentials.mdx @@ -19,7 +19,7 @@ The agent also handles escaping for you, so a password with special characters w ### Plaintext inline -You can enter the value directly, in which case it is written into the generated configuration. The interface shows a clear "stored unencrypted" warning, because the value then lives in the configuration and on disk. Use this only when you accept that trade-off. +You can enter the value directly, in which case it is stored in the configuration. The interface shows a clear "stored unencrypted" warning, because the value then lives in the configuration and on disk. Use this only when you accept that trade-off. ### Operator-managed diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx index a286f20e..5b9487ab 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx @@ -15,7 +15,7 @@ On Kubernetes, one collector in the cluster monitors your databases, so each dat ## Discovery prefills the endpoint -The agent finds databases running in your cluster and prefills the wizard with their in-cluster address, `..svc.cluster.local:`. Use this address, because your applications connect to the database by the same name, which is what makes its metrics and traces line up. Databases outside the cluster are not discovered and are added manually. +The agent finds databases running in your cluster and prefills the wizard with their in-cluster address, `..svc.cluster.local:`. Use this address: it is the name your applications connect to, so the database's metrics and traces line up. Databases outside the cluster are not discovered and are added manually. ## Managed mode is required diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx index 336b64c8..1e6e05f7 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-vm.mdx @@ -18,7 +18,7 @@ On a virtual machine, you can collect the full set of coverages, including datab ## How local databases are identified -A database on the host often listens on `localhost`, which is not unique across your servers. So that its metrics and traces line up, the agent identifies the database by the host's routable address instead. Your applications and the agent may each refer to the same database in a different way, and the agent keeps them consistent. See [Telemetry identity](../../reference/telemetry-identity/) for how to build dashboards on a database's server address. +A database on the host often listens on `localhost`, which is not unique across your servers. So that its metrics and traces line up, the agent identifies the database by the host's routable address instead. See [Telemetry identity](../../reference/telemetry-identity/) for how to build dashboards on a database's server address. ## Set up monitoring diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx index a6f1d0f8..bd6cd644 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/overview.mdx @@ -36,7 +36,7 @@ TODO(screenshot): the database monitoring wizard showing engine selection, cover ## Safe to apply -The agent checks the setup before it applies it, so a bad database setting does not affect your other telemetry. Each database is handled on its own, so one misconfigured database does not affect the others. +The agent validates the setup before applying it, and handles each database on its own, so one bad database setting cannot affect the others or your other telemetry. ## Where to run it diff --git a/src/content/docs/docs/kloudmate-agent/index.mdx b/src/content/docs/docs/kloudmate-agent/index.mdx index e35541c2..e0aa7bf8 100644 --- a/src/content/docs/docs/kloudmate-agent/index.mdx +++ b/src/content/docs/docs/kloudmate-agent/index.mdx @@ -31,7 +31,7 @@ Opt in per service or database: - **Application performance monitoring (APM):** distributed traces for Java, Node.js, Python, .NET, and PHP applications. - **Database monitoring:** health metrics, query performance, and logs for your databases. -The agent also reports its own status and error logs, so you can see how it is doing. +The agent also reports its own status and error logs. ## Supported platforms diff --git a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx index c874b6d7..67491edb 100644 --- a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx +++ b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx @@ -7,15 +7,15 @@ sidebar: import { Steps, Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; -Log monitoring is a wizard where you point the agent at log files on a host and choose how to parse them, instead of hand-writing collector configuration. You give the agent a folder and a file-name pattern, pick a parse format, and the agent turns your choices into an OpenTelemetry (OTel) `filelog` receiver. It is the log sibling of [database monitoring](../database-monitoring/overview/): the same discovery-led, auto-wired style, but for log files instead of databases. +Log monitoring is a wizard where you point the agent at log files on a host and choose how to parse them — no hand-written collector configuration. You give the agent a folder and a file-name pattern, pick a parse format, and the agent collects those files. It is the log counterpart of [database monitoring](../database-monitoring/overview/): the same wizard-driven approach, but for log files. It applies to Linux and Windows virtual machine (VM) hosts and to Docker. It is **not available on Kubernetes**, where pod and container logs are already collected for you. See [Not available on Kubernetes](#not-available-on-kubernetes) below. ## How it fits -Log monitoring is a managed-mode feature. You configure sources from the agent's **Configuration** page, on the **Logs** tab, and KloudMate compiles them into the agent's collector configuration along with everything else you have toggled on. See the [configuration model](../concepts/config-model/) for how managed mode works. +Log monitoring is a managed-mode feature. You configure sources from the agent's **Configuration** page, on the **Logs** tab. See the [configuration model](../concepts/config-model/) for how managed mode works. -- **Managed mode only.** The Logs tab is available when the agent is in managed mode. If the agent is in manual mode, the tab prompts you to switch, because log sources fold into the generated configuration. You can still add a `filelog` receiver by hand in manual mode: see [Manual configuration](#manual-configuration). +- **Managed mode only.** The Logs tab is available when the agent is in managed mode. If the agent is in manual mode, the tab prompts you to switch. You can still add a `filelog` receiver by hand in manual mode: see [Manual configuration](#manual-configuration). - **Independent sources.** Each source is isolated, so one badly configured source cannot affect the others or your host baseline logs. - **It builds on the baseline.** The host baseline already ships system logs (the systemd journal on Linux, the Windows Event Log, container output on Docker) with no configuration. Log monitoring is for the extra application log **files** that the baseline does not pick up. See [Host metrics and logs](../baseline/host-metrics-and-logs/). @@ -108,8 +108,6 @@ TODO(screenshot): the Preview results panel, showing matched files and a parsed ## How the agent reads your files -A few details are worth knowing: - - **New lines only.** Each source starts reading at the **end** of the file, so you get new lines from the moment it is applied. There is no historical backfill and no checkpoint file. Applying any configuration change restarts the collector and re-opens each source at the end, so a low-traffic file may show nothing until it is next written to. - **No self-ingestion.** The agent never re-ingests its own logs, even if a broad pattern would otherwise match them. - **Records carry their source.** Every record is stamped with the source name (`km.log.source`), and any attributes you added. Stamping `service.name` is what lets a file's logs line up with that application's traces. See [Telemetry identity](../reference/telemetry-identity/). diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index 1c52d10a..dfeceadb 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -5,7 +5,7 @@ sidebar: order: 12 --- -The KloudMate Agent is designed to be managed centrally from the KloudMate web UI. This means you don't need to SSH into your servers or manually edit local YAML files to update settings. Changes made in the dashboard are automatically pushed to your agents across your infrastructure. +You manage the KloudMate Agent centrally from the web UI, so you don't need to SSH into your servers or edit local YAML files. Changes you make in the dashboard are pushed to your agents automatically. ## Agents Overview @@ -89,7 +89,7 @@ You can control which telemetry signals the agent collects by updating the featu #### eBPF Configuration -To enable deep kernel-level visibility, you can configure the eBPF Receiver in your `config.yaml`. Below is a standard configuration snippet: +To configure the eBPF receiver in your `config.yaml`, use a snippet like this: ```yaml metrics: diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx index 49826b91..a5d7b7cb 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -1,6 +1,6 @@ --- title: "Docker platform notes" -description: "Deep reference for the KloudMate agent in Docker mode: current infrastructure and eBPF coverage across containers, and how application injection works." +description: "How the KloudMate agent runs in Docker mode: infrastructure and eBPF coverage across containers, and how application tracing works." sidebar: order: 3 --- @@ -16,8 +16,6 @@ Running in Docker mode, the agent already covers your containers without touchin - **Infrastructure, metrics, and logs:** host and container metrics and container logs, from the containerized collector. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). - **eBPF baseline:** because the extended Berkeley Packet Filter (eBPF) runs in the host kernel, which containers share, it sees container processes and traffic transparently. You get Rate, Errors, and Duration (RED) metrics, the service map, and Database Activity Monitoring across your containers with no code changes and no injection. See [eBPF observability](../../ebpf-observability/). -So containerized applications get broad coverage as soon as the agent is running. - ## Application-level tracing in containers Full application traces need the language agent's startup environment inside the container, and host mechanisms such as systemd drop-ins do not cross the container boundary. How the agent handles this depends on the runtime: diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx index 772d437d..78ecef08 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx @@ -1,6 +1,6 @@ --- title: "Windows platform notes" -description: "Deep reference for the KloudMate agent on Windows: discovery through IIS and WMI, the ETW baseline, injection mechanisms, and privileges." +description: "How the KloudMate agent runs on Windows: discovery through IIS and WMI, the ETW baseline, injection mechanisms, and privileges." sidebar: order: 2 --- diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx index bb4f3db1..a35e3939 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/health-metrics.mdx @@ -43,7 +43,7 @@ The agent restarts the collector automatically after a crash, and the restart co ## Alerting on a silent agent -The one failure the agent cannot report is total silence: if the agent, host, or network goes down, nothing is emitted. Detect this with a dead-man's-switch alert in KloudMate that fires when `kmagent.up` stops arriving for a host. Because `kmagent.up` is a steady heartbeat with a dedicated `service.name`, it is straightforward to alert on its absence. +The one failure the agent cannot report is total silence: if the agent, host, or network goes down, nothing is emitted. Detect this with a dead-man's-switch alert in KloudMate that fires when `kmagent.up` stops arriving for a host. ## Enabling and tuning diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx index df04ac9d..bc255df0 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/self-logs.mdx @@ -11,7 +11,7 @@ Self-logs bring the agent's own error output into KloudMate, so you can diagnose ## What it ships -The agent forwards its own **ERROR-level logs** directly to KloudMate. It ships only errors, not routine debug or info messages, so the volume stays low and the signal stays high. Each log record carries attributes that tell you where the error came from: +The agent forwards its own **ERROR-level logs** directly to KloudMate. It ships only errors, not routine debug or info messages. Each log record carries attributes that tell you where the error came from: - The **source** within the agent, such as the check-in, discovery, instrumentation, or the collector. - The **host or node** the agent runs on. @@ -23,7 +23,7 @@ On Kubernetes, self-logs are shipped per node, carried with per-node identity, s ## Enabling it -Self-logs are on by default, controlled by the `KM_AGENT_ERROR_LOGS` setting. Leaving them on means agent errors are always visible in KloudMate. +Self-logs are on by default, controlled by the `KM_AGENT_ERROR_LOGS` setting. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx b/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx index b4a97232..4b1e0d7f 100644 --- a/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx +++ b/src/content/docs/docs/kloudmate-agent/self-observability/self-telemetry.mdx @@ -17,7 +17,7 @@ When enabled, the collector emits its standard `otelcol_*` metrics, including: - **Receiver activity:** accepted and refused items, so you can see whether data is being dropped at intake. - **Processor and process metrics:** internal pipeline and process counters. -These are the same metrics any OpenTelemetry Collector can produce, so they are familiar and well documented. +These are the standard metrics any OpenTelemetry Collector produces. ## Not a liveness signal diff --git a/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx index 44c5efba..08d5aed8 100644 --- a/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx +++ b/src/content/docs/docs/kloudmate-agent/web-server-monitoring.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -The agent monitors nginx and Apache web servers by reading their built-in status modules, in the same discovery-led, auto-wired style as [database monitoring](../database-monitoring/overview/). It applies to nginx and Apache on Linux hosts. It does **not** apply on **Windows**, where Internet Information Services (IIS) is covered by the Event Tracing for Windows (ETW) baseline instead. See [Windows and .NET application APM](../auto-instrumentation/windows-dotnet/). +The agent monitors nginx and Apache web servers by reading their built-in status modules. As with [database monitoring](../database-monitoring/overview/), it finds the servers and sets up collection for you. It applies to nginx and Apache on Linux hosts. It does **not** apply on **Windows**, where Internet Information Services (IIS) is covered by the Event Tracing for Windows (ETW) baseline instead. See [Windows and .NET application APM](../auto-instrumentation/windows-dotnet/). ## What it collects From 128f8a44fdc4056f63b77d16f89a01edc61d24de Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Fri, 17 Jul 2026 08:28:52 +0530 Subject: [PATCH 14/39] agent v2 doc updates --- CLAUDE.md | 26 ++++++++++ .../advanced-configuration.mdx | 4 +- .../auto-instrumentation/go-ebpf.mdx | 8 ++-- .../auto-instrumentation/kubernetes.mdx | 2 +- .../auto-instrumentation/linux-systemd.mdx | 2 +- .../auto-instrumentation/overview.mdx | 10 ++-- .../auto-instrumentation/php.mdx | 4 +- .../auto-instrumentation/sampling.mdx | 2 +- .../auto-instrumentation/windows-dotnet.mdx | 8 ++-- .../baseline/host-metrics-and-logs.mdx | 4 +- .../kloudmate-agent/concepts/architecture.mdx | 4 +- .../kloudmate-agent/concepts/config-model.mdx | 10 ++-- .../kloudmate-agent/concepts/discovery.mdx | 2 +- .../database-monitoring/on-kubernetes.mdx | 2 +- .../kloudmate-agent/ebpf-observability.mdx | 16 +++---- .../docs/docs/kloudmate-agent/index.mdx | 14 +++--- .../installation/aws-asg-deployment.mdx | 2 +- .../installation/docker-agent.mdx | 2 +- .../installation/ecs-agent.mdx | 15 ++---- ...frastructure-as-code-iaac-installation.mdx | 2 +- .../installation/kubernetes-agent.mdx | 8 +++- .../installation/linux-agent.mdx | 6 +-- .../installation/windows-agent.mdx | 2 +- .../docs/kloudmate-agent/log-monitoring.mdx | 2 +- .../docs/docs/kloudmate-agent/management.mdx | 4 +- .../kloudmate-agent/platform-notes/docker.mdx | 47 +++++++++++++++---- .../platform-notes/kubernetes.mdx | 2 +- .../platform-notes/windows.mdx | 10 ++-- .../kloudmate-agent/reference/glossary.mdx | 6 +-- .../reference/metric-catalogs.mdx | 8 ++-- .../reference/telemetry-identity.mdx | 4 +- .../docs/kloudmate-agent/troubleshooting.mdx | 6 +-- .../kloudmate-agent/web-server-monitoring.mdx | 4 +- 33 files changed, 151 insertions(+), 97 deletions(-) create mode 100644 CLAUDE.md diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 00000000..0fb4f046 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,26 @@ +# CLAUDE.md + +Guidance for Claude Code when working in this repository (KloudMate documentation). + +## Read AGENTS.md first + +[AGENTS.md](AGENTS.md) is the authoritative guide for this repo: project context, the writing style and voice rules (Section 2, read it before writing any content), the tech stack (Astro + Starlight), and the directory and routing structure. Follow it. The rules below are additions specific to the KloudMate agent docs (`src/content/docs/docs/kloudmate-agent/**`), not replacements. + +## Agent-docs terminology: plain words, no product jargon + +- Do not use **"baseline."** It means nothing to a reader. Use **"eBPF monitoring"** or **"ETW monitoring"** for the eBPF or ETW layer, and **"automatic monitoring"** (or "what the agent collects automatically") for the general idea. Drop the redundant article too: write "eBPF monitoring needs kernel 4.14," not "the eBPF monitoring needs…". It reads as a mass noun, and the docs already start sentences with a bare "eBPF." +- Do not describe PHP container instrumentation as happening **"in place."** Say **"without a redeploy"** or **"directly"** — the point is that no rebuild or redeploy is needed; "default" would misdescribe it. Exception: the ASG page's "in-place upgrade" is the correct standard term for that deployment strategy, so leave it. + +## Phrasing: describe the system, do not assert what the reader owns + +AGENTS.md already says to keep the reader (not the product) as the subject, and to describe system state when there is no natural "you." One specific case to watch: do not make presumptuous ownership or management claims about the reader's setup, such as "You own the container instances" or "You own the raw YAML." Rephrase to describe the thing: + +- "You own the container instances" becomes "The EC2 instances are self-managed." +- "You own the raw YAML" becomes "The raw YAML is edited directly." +- "You manage the agent from the web interface" becomes "The agent is managed from the web interface." + +Keep genuine step instructions in second person: "you turn on the toggle," "when you change a setting," and imperative steps like "Run the install script." The objection is only to declarative claims about the reader's environment, not to instructional voice. + +## Verify before you finish + +Run `npm run build` after content changes. Its postbuild step (`scripts/check-links.mjs`) fails on broken internal links, which catches renamed heading anchors and bad relative paths. A clean run ends with `check-links: no broken internal links found`. diff --git a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx index 53618a85..6ed7501f 100644 --- a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx +++ b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx @@ -11,7 +11,7 @@ Most agents run well in managed mode with the defaults. This page collects the a ## Manual YAML and custom receivers -Switching an agent to **manual mode** gives you the raw collector YAML through the editor, so you can hand-tune the configuration or add a component that the managed integrations do not cover. This is for non-standard setups. The trade-off is that you own the configuration and the feature toggles are disabled. On Kubernetes, the agent's configuration lives in the collectors' ConfigMaps; do not edit them directly, because the agent owns them in managed mode. See the [configuration model](../concepts/config-model/) and [Kubernetes platform notes](../platform-notes/kubernetes/). +Switching an agent to **manual mode** gives you the raw collector YAML through the editor, so you can hand-tune the configuration or add a component that the managed integrations do not cover. This is for non-standard setups. The trade-off is that the configuration is edited by hand and the feature toggles are disabled. On Kubernetes, the agent's configuration lives in the collectors' ConfigMaps; do not edit them directly, because the agent owns them in managed mode. See the [configuration model](../concepts/config-model/) and [Kubernetes platform notes](../platform-notes/kubernetes/). The agent's own settings (such as the API key, host name override, and health reporting) are set through `agent.yaml`, environment variables, or command-line flags on the host, and through Helm values on Kubernetes. @@ -21,7 +21,7 @@ Set a global trace sampling rate and override it per service to balance trace fi ## eBPF and overhead tuning -The eBPF baseline runs within a CPU and memory budget and reduces its overhead automatically on small instances. You can tune context propagation, request-header capture, database detection, and buffer sizes further. See [eBPF observability](../ebpf-observability/). +eBPF monitoring runs within a CPU and memory budget and reduces its overhead automatically on small instances. You can tune context propagation, request-header capture, database detection, and buffer sizes further. See [eBPF observability](../ebpf-observability/). ## Collector self-telemetry diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx index 91ddba23..7673640f 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/go-ebpf.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Go is the one runtime the agent does not inject. Go compiles to a static binary with no runtime to attach an agent to, so instead of code injection the agent covers Go services through the extended Berkeley Packet Filter (eBPF) baseline. There is no **Instrument** toggle to turn on for a Go service: it is covered automatically wherever the eBPF baseline is active. This applies on **Linux, Kubernetes, and Docker**, and not on **Windows**, which has no eBPF. +Go is the one runtime the agent does not inject. Go compiles to a static binary with no runtime to attach an agent to, so instead of code injection the agent covers Go services through the extended Berkeley Packet Filter (eBPF) monitoring. There is no **Instrument** toggle to turn on for a Go service: it is covered automatically wherever eBPF monitoring is active. This applies on **Linux, Kubernetes, and Docker**, and not on **Windows**, which has no eBPF. ## Rich eBPF coverage for Go @@ -24,16 +24,16 @@ The result is close to what a language SDK would produce, without changing your ## How Go traces connect to other services -The eBPF baseline and the language agents both propagate W3C trace context (`traceparent`). So when an instrumented service calls a Go service, the Go service's eBPF span adopts the caller's trace, and you see one connected trace with the correct parent-child relationship rather than two disjoint views. +eBPF monitoring and the language agents both propagate W3C trace context (`traceparent`). So when an instrumented service calls a Go service, the Go service's eBPF span adopts the caller's trace, and you see one connected trace with the correct parent-child relationship rather than two disjoint views. :::note -In the Discovered Services list, a Go service is marked as covered by eBPF rather than as instrumentable, and its Instrument toggle is disabled. This is expected: the eBPF baseline is already tracing it. +In the Discovered Services list, a Go service is marked as covered by eBPF rather than as instrumentable, and its Instrument toggle is disabled. This is expected: eBPF monitoring is already tracing it. ::: ## Next steps - + diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx index ec3fdc39..36254d6f 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx @@ -62,7 +62,7 @@ After adding the annotation, restart the deployment so the Operator injects the ## Parity with the Linux flow -It works the same way as on [Linux](../linux-systemd/): discover a workload, toggle Instrument, and let traces flow, correlated with the eBPF baseline that already covers the cluster. Only the mechanism differs: Kubernetes uses annotation-driven injection and a rolling pod restart, while Linux uses systemd drop-ins and a service restart. +It works the same way as on [Linux](../linux-systemd/): discover a workload, toggle Instrument, and let traces flow, correlated with eBPF monitoring that already covers the cluster. Only the mechanism differs: Kubernetes uses annotation-driven injection and a rolling pod restart, while Linux uses systemd drop-ins and a service restart. ## Monitored namespaces diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx index 4df0ca26..bcbc9083 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx @@ -25,7 +25,7 @@ The agent uses the standard tracing mechanism for each runtime, so the behavior | .NET | The .NET (CLR) profiler (less common on Linux than on Windows) | :::note -PHP and Go work differently. PHP is reloaded gracefully instead of restarted; see [PHP instrumentation](../php/). Go is not attached at all; it is covered by the [eBPF baseline](../go-ebpf/). +PHP and Go work differently. PHP is reloaded gracefully instead of restarted; see [PHP instrumentation](../php/). Go is not attached at all; it is covered by the [eBPF monitoring](../go-ebpf/). ::: ## Bundled with the agent diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx index 8e45fdf5..72fc76ff 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Application performance monitoring (APM) is the opt-in half of the agent. Where the eBPF baseline gives you Rate, Errors, and Duration (RED) metrics and a service map automatically, application APM attaches OpenTelemetry (OTel) auto-instrumentation to a service to produce full distributed traces, with spans for your frameworks, database calls, and outbound requests. Because it requires a process restart, you enable it one service at a time. +Application performance monitoring (APM) is the opt-in half of the agent. Where eBPF monitoring gives you Rate, Errors, and Duration (RED) metrics and a service map automatically, application APM attaches OpenTelemetry (OTel) auto-instrumentation to a service to produce full distributed traces, with spans for your frameworks, database calls, and outbound requests. Because it requires a process restart, you enable it one service at a time. ## The per-service opt-in flow @@ -18,7 +18,7 @@ The flow is the same across every deployment mode: 3. **Consent to the restart.** Instrumentation only takes effect when the process restarts, so the agent asks before restarting. You can restart now, or leave the change pending until the next restart. 4. **Traces flow.** After the restart, the service emits application traces to the agent's local collector, correlated with its eBPF spans. -Throughout this flow, the eBPF baseline keeps covering the service, so there is no visibility gap while you enable APM. +Throughout this flow, eBPF monitoring keeps covering the service, so there is no visibility gap while you enable APM. ## Status chips @@ -40,7 +40,7 @@ The agent never restarts your services silently. In this version: ## Automatic rollback -If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service, returning it to its previous state, and reports the status as failed, rolled back. The eBPF baseline keeps covering it, and because you instrument one service at a time, a problem with one service never affects the others. +If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**: it removes the change, reloads, and restarts the service, returning it to its previous state, and reports the status as failed, rolled back. eBPF monitoring keeps covering it, and because you instrument one service at a time, a problem with one service never affects the others. ## Supported runtimes @@ -51,13 +51,13 @@ If an instrumented service fails to restart or falls into a crash loop, the agen | Python | OpenTelemetry Python instrumentation, attached per service | | .NET | OpenTelemetry .NET auto-instrumentation (CLR profiler) | | PHP | Attached per service, covering both PHP 7 and PHP 8 | -| Go | Covered by the eBPF baseline, not injected | +| Go | Covered by eBPF monitoring, not injected | The language agents ship inside the KloudMate agent package and are versioned with it, so there is no separate download to manage. ## Clean traces without duplicates -When you instrument a service, the agent tells the eBPF baseline to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF keeps tracing the services around it, all on one connected trace. +When you instrument a service, the agent tells eBPF monitoring to stop tracing that service's own requests. You get the richer application spans from the language agent, while eBPF keeps tracing the services around it, all on one connected trace. ## Instrument everything (advanced) diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx index 4e62be23..1c897962 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/php.mdx @@ -15,13 +15,13 @@ When you instrument a PHP service, the agent attaches tracing to it automaticall ## What you get -The agent produces route-level server spans, database spans (for example, PDO calls), and error spans. It propagates W3C trace context (`traceparent`), so a PHP span shares its trace identifier with the eBPF baseline and with any upstream or downstream service. +The agent produces route-level server spans, database spans (for example, PDO calls), and error spans. It propagates W3C trace context (`traceparent`), so a PHP span shares its trace identifier with eBPF monitoring and with any upstream or downstream service. The overhead is small: a fixed cost of roughly 1.6 milliseconds per request, which is a low single-digit percentage on realistic requests. ## PHP in containers -In Docker, the agent instruments PHP containers in place, matching the container's PHP build automatically. The instrumented application ships its traces to the agent through the container's host gateway. See [Docker platform notes](../../platform-notes/docker/) for the container details. +In Docker, the agent instruments PHP containers without a redeploy, matching the container's PHP build automatically. The instrumented application ships its traces to the agent through the container's host gateway. See [Docker platform notes](../../platform-notes/docker/) for the container details. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx index 194a6a10..01eea7c8 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/sampling.mdx @@ -7,7 +7,7 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Sampling controls how many traces an instrumented service keeps. Capturing every request gives the highest fidelity but the highest ingestion cost, while sampling a fraction lowers cost at the expense of some detail. The agent lets you set a sensible global default and override it for individual services. Sampling applies to the opt-in application traces; the eBPF baseline metrics are collected separately. +Sampling controls how many traces an instrumented service keeps. Capturing every request gives the highest fidelity but the highest ingestion cost, while sampling a fraction lowers cost at the expense of some detail. The agent lets you set a sensible global default and override it for individual services. Sampling applies to the opt-in application traces; eBPF monitoring metrics are collected separately. ## Global default and per-service overrides diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx index f502d558..4c2ff979 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/windows-dotnet.mdx @@ -7,7 +7,7 @@ sidebar: import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; -Windows has no `LD_PRELOAD` and no production eBPF, but its dominant workload, .NET, has a mature zero-code tracing path through the Common Language Runtime (CLR) profiler. The agent uses that path for .NET, uses per-service environment for Java, Node.js, and Python, and provides a baseline for all IIS traffic through Event Tracing for Windows (ETW). The opt-in flow, consent, and rollback are the same as described in the [overview](../overview/). +Windows has no `LD_PRELOAD` and no production eBPF, but its dominant workload, .NET, has a mature zero-code tracing path through the Common Language Runtime (CLR) profiler. The agent uses that path for .NET, uses per-service environment for Java, Node.js, and Python, and provides monitoring for all IIS traffic through Event Tracing for Windows (ETW). The opt-in flow, consent, and rollback are the same as described in the [overview](../overview/). ## .NET applications @@ -21,7 +21,7 @@ Coverage is keyed on the **installed CLR runtime**, not the framework your appli |---|---| | .NET Framework 4.6.2 and newer (CLR 4.x) | Full application traces through the CLR profiler | | .NET Core and modern .NET | Full application traces through the CLR profiler | -| .NET Framework 3.5 (CLR 2.0) | No profiler; covered by the ETW baseline below | +| .NET Framework 3.5 (CLR 2.0) | No profiler; covered by ETW monitoring below | An application built for .NET 4.0 or 4.5 but running on a 4.6.2 or newer runtime is instrumented, because the profiler keys on the runtime. @@ -53,9 +53,9 @@ An ASP.NET Core application pool must be set to "No Managed Code" for the profil These runtimes use the same language agents as Linux, injected through the per-service registry environment at `HKLM\SYSTEM\CurrentControlSet\Services\\Environment` (the Windows analog of a systemd drop-in). The agent sets the standard variable for the runtime (`JAVA_TOOL_OPTIONS`, `NODE_OPTIONS`, or `PYTHONPATH`) and restarts the service to apply it. -## The ETW baseline +## ETW monitoring -Because Windows has no eBPF, the agent provides a zero-code baseline through a custom ETW receiver. It taps the HTTP.sys provider to emit: +Because Windows has no eBPF, the agent provides a zero-code monitoring through a custom ETW receiver. It taps the HTTP.sys provider to emit: - **Server spans** for every request, at the request-path level. - **RED metrics** (Rate, Errors, and Duration) keyed by application pool. diff --git a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx index 3e1546d9..e5879170 100644 --- a/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx +++ b/src/content/docs/docs/kloudmate-agent/baseline/host-metrics-and-logs.mdx @@ -45,7 +45,7 @@ What the agent collects depends on the deployment mode, because each platform ex :::note -Host metrics and logs need no configuration. The eBPF baseline and application tracing add to it when you enable them. +Host metrics and logs need no configuration. eBPF monitoring and application tracing add to it when you enable them. ::: ## Where to view it @@ -65,7 +65,7 @@ The baseline collects system logs, not arbitrary application log **files**. To a Alongside host metrics and logs, two more capabilities turn on without configuration: - **Discovery** inventories what runs on the host, so you can instrument it. See [Discovery](../../concepts/discovery/). -- **The eBPF baseline** adds Rate, Errors, and Duration (RED) metrics, a service map, and Database Activity Monitoring, with no code changes. See [eBPF observability](../../ebpf-observability/). +- **eBPF monitoring** adds Rate, Errors, and Duration (RED) metrics, a service map, and Database Activity Monitoring, with no code changes. See [eBPF observability](../../ebpf-observability/). ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx index 38354bde..50d213c0 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/architecture.mdx @@ -20,7 +20,7 @@ The agent checks in with KloudMate regularly to report what it found and pick up A few principles shape how the agent behaves: -- **The baseline is automatic; depth is opt-in.** Anything safe and low-risk (host metrics, logs, and the eBPF baseline) turns on by itself. Anything that needs a process restart is something you turn on per service. +- **Standard monitoring is automatic; depth is opt-in.** Anything safe and low-risk (host metrics, logs, and eBPF monitoring) turns on by itself. Anything that needs a process restart is something you turn on per service. - **You do not write configuration.** You turn features on and off in the web interface, and KloudMate produces the settings for you. A manual editor is available for advanced setups. - **The experience is the same everywhere.** You find a service, turn on what you want, and the agent applies it, whether you run on a virtual machine, Windows, Kubernetes, or Docker. @@ -33,7 +33,7 @@ The two-sided model is the same in every mode. What changes is how the agent is | Linux / VM | A single agent as a systemd service. | Per service, using systemd. | | Windows | A single agent as a Windows service. | Per service or application pool, using the registry and Internet Information Services (IIS). | | Kubernetes | A fleet-manager pod plus collector pods. One agent represents one cluster. | Per workload, using the OpenTelemetry (OTel) Operator. | -| Docker | A containerized collector. | Host metrics, logs, and eBPF today; per-container tracing is rolling out. | +| Docker | A containerized collector. | PHP containers without a redeploy; Java, Node.js, Python, and .NET through eBPF monitoring. | On Kubernetes, one cluster appears as one agent rather than one per node. See [Kubernetes platform notes](../../platform-notes/kubernetes/). diff --git a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx index a57090db..4fb43bce 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/config-model.mdx @@ -7,9 +7,9 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -In **managed mode**, you turn features on and off from the KloudMate web interface and the agent is configured for you, with no hand-edited YAML. This is how new agents run by default, and it covers host metrics, the eBPF baseline, application performance monitoring (APM), database monitoring, and everything else you toggle in the interface. +In **managed mode**, you turn features on and off from the KloudMate web interface and the agent is configured for you, with no hand-edited YAML. This is how new agents run by default, and it covers host metrics, eBPF monitoring, application performance monitoring (APM), database monitoring, and everything else you toggle in the interface. -A feature only appears where it applies. For example, the eBPF baseline is offered only on hosts with a supported Linux kernel. +A feature only appears where it applies. For example, eBPF monitoring is offered only on hosts with a supported Linux kernel. ## Managed and manual modes @@ -17,13 +17,13 @@ Every agent runs in one of two configuration modes. | | Managed mode | Manual mode | |---|---|---| -| Who owns the configuration | KloudMate, from the features you enable | You own the raw YAML | +| Who owns the configuration | KloudMate, from the features you enable | The operator, in the raw YAML | | YAML editor | Read-only preview | Editable | | Feature toggles | Available | Disabled | | Default for | New agents | Existing agents after upgrade | - **Managed mode** is the default and the recommended way to run the agent. You enable features in the interface, and the YAML editor shows a read-only preview. -- **Manual mode** is for advanced, hand-tuned setups. You own the raw YAML, and the feature toggles are off. +- **Manual mode** is for advanced, hand-tuned setups. The raw YAML is edited directly, and the feature toggles are off. TODO(screenshot): the managed/manual mode toggle in Agent settings. @@ -44,7 +44,7 @@ See [Database credentials](../../database-monitoring/credentials/). ## Migrating existing agents -When an agent is upgraded, it stays in **manual** mode so nothing changes unexpectedly. To adopt managed mode, switch it in the interface; it starts from a sensible default of host metrics, logs, and the eBPF baseline, plus anything discovery found. New agents already start in managed mode. +When an agent is upgraded, it stays in **manual** mode so nothing changes unexpectedly. To adopt managed mode, switch it in the interface; it starts from a sensible default of host metrics, logs, and eBPF monitoring, plus anything discovery found. New agents already start in managed mode. :::caution Switching an agent from manual to managed mode replaces its hand-edited YAML with generated configuration. KloudMate saves the previous manual configuration first, so it is not lost, but review the change before you switch a production agent. diff --git a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx index d6eb3249..41b51cbe 100644 --- a/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx +++ b/src/content/docs/docs/kloudmate-agent/concepts/discovery.mdx @@ -30,7 +30,7 @@ Discovery surfaces its inventory as a **Discovered Services** list on the host d - **Instrumentable** flag: whether the agent has a way to attach application tracing to that runtime. :::note -The `instrumentable` flag reflects whether an injection path exists for the runtime. Java, .NET, Node.js, and Python are instrumentable. PHP is instrumentable when a tracer is available for the detected version. Go is not injected: it is covered by the eBPF baseline instead, so it appears as covered rather than instrumentable. +The `instrumentable` flag reflects whether an injection path exists for the runtime. Java, .NET, Node.js, and Python are instrumentable. PHP is instrumentable when a tracer is available for the detected version. Go is not injected: it is covered by eBPF monitoring instead, so it appears as covered rather than instrumentable. ::: TODO(screenshot): Discovered Services list on the host detail page, showing runtime, kind, listen ports, state, and the instrumentable flag. diff --git a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx index 5b9487ab..1d639f58 100644 --- a/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/database-monitoring/on-kubernetes.mdx @@ -27,7 +27,7 @@ On Kubernetes, the agent collects database metrics and query coverages: standard ## Provide credentials with a Kubernetes Secret -Credentials use an environment reference backed by a Kubernetes Secret that you manage. Set it up before you configure any database, because the collector reads the Secret when its pod starts. +Credentials use an environment reference backed by a Kubernetes Secret you provide. Set it up before you configure any database, because the collector reads the Secret when its pod starts. 1. **Create a Kubernetes Secret** with a key of the form `KM_SECRET_` for each database credential. For example, a key `KM_SECRET_postgresql` holding the monitoring user's password. diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index 5a76247a..20ae6809 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -1,6 +1,6 @@ --- title: "eBPF Observability" -description: "Understand and tune the KloudMate agent eBPF baseline: RED metrics, service map, and Database Activity Monitoring from the Linux kernel, with no code changes." +description: "Understand and tune the KloudMate agent eBPF monitoring: RED metrics, service map, and Database Activity Monitoring from the Linux kernel, with no code changes." sidebar: order: 5 --- @@ -9,11 +9,11 @@ import { LinkCard, CardGrid } from '@astrojs/starlight/components'; Extended Berkeley Packet Filter (eBPF) lets the KloudMate agent observe your applications directly from the Linux kernel. You get visibility into network traffic, database queries, and application performance **with no code changes and no SDKs**. -eBPF is part of the agent's automatic baseline. On a managed-mode agent, it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map as soon as the agent is running. +eBPF is part of the agent's automatic monitoring. On a managed-mode agent, it turns on by default wherever the Linux kernel supports it, so you get Rate, Errors, and Duration (RED) metrics and a service map as soon as the agent is running. ## What eBPF collects -When the eBPF baseline is active, the agent collects: +When eBPF monitoring is active, the agent collects: - **RED metrics** (Rate, Errors, and Duration) for your services, with no instrumentation. - **Service dependencies**, used to build the visual service map, including peer-to-peer latency. @@ -25,13 +25,13 @@ Because eBPF observes traffic in the kernel, it covers services you have not ins ## Deployment modes and requirements -eBPF applies on **Linux, Kubernetes, and Docker**. It does **not** apply on **Windows**, which has no eBPF equivalent; on Windows the agent provides a comparable baseline through Event Tracing for Windows (ETW) instead. See [Windows platform notes](../platform-notes/windows/). +eBPF applies on **Linux, Kubernetes, and Docker**. It does **not** apply on **Windows**, which has no eBPF equivalent; on Windows the agent provides a comparable monitoring through Event Tracing for Windows (ETW) instead. See [Windows platform notes](../platform-notes/windows/). On Linux, eBPF needs: | Requirement | Detail | |---|---| -| Kernel version | 4.14 or newer for the baseline. 5.8 or newer (with BPF Type Format, BTF) unlocks richer, lower-overhead attachment. Some features benefit from 5.17 or a backport. | +| Kernel version | 4.14 or newer for eBPF monitoring. 5.8 or newer (with BPF Type Format, BTF) unlocks richer, lower-overhead attachment. Some features benefit from 5.17 or a backport. | | Privileges | The `CAP_SYS_ADMIN` (or `CAP_BPF`) capability, or a privileged context. | | Kernel debug filesystem | `debugfs` must be mounted. | @@ -73,11 +73,11 @@ ebpf: ### Overhead -The eBPF baseline runs within a budget of roughly 50 to 100 MB of memory and 5 to 10 percent CPU. The agent automatically reduces buffer sizes and sampling on small instances, and you can dial the overhead down further with the tuning settings if you need to. +eBPF monitoring runs within a budget of roughly 50 to 100 MB of memory and 5 to 10 percent CPU. The agent automatically reduces buffer sizes and sampling on small instances, and you can dial the overhead down further with the tuning settings if you need to. ## Enabling or tuning eBPF in manual mode -On a manual-mode agent, you manage eBPF through the remote YAML editor. You do not need to log in to the host or edit local files. +On a manual-mode agent, eBPF is managed through the remote YAML editor, with no need to log in to the host or edit local files. 1. Log in to your KloudMate platform. 2. Go to the **Agents** landing page. @@ -128,7 +128,7 @@ Once the agent is collecting eBPF telemetry, confirm it in these views: ## Related - + diff --git a/src/content/docs/docs/kloudmate-agent/index.mdx b/src/content/docs/docs/kloudmate-agent/index.mdx index e0aa7bf8..e87e3d34 100644 --- a/src/content/docs/docs/kloudmate-agent/index.mdx +++ b/src/content/docs/docs/kloudmate-agent/index.mdx @@ -12,7 +12,7 @@ The **KloudMate Agent** is a single program you install on your servers, contain It is built on the **OpenTelemetry (OTel) Collector** with a curated set of components, so you get straightforward deployment, remote configuration, and **extended Berkeley Packet Filter (eBPF)** observability without writing collector configuration. -You manage the agent from the KloudMate web interface. When you change a setting, the agent applies it for you, so you do not need Secure Shell (SSH) access or local file edits. You can track each agent's health and status from your dashboards. +The agent is managed from the KloudMate web interface. When you change a setting, the agent applies it for you, so there is no need for Secure Shell (SSH) access or local file edits. Each agent's health and status appear in your dashboards. To go deeper, read [Architecture](concepts/architecture/) and the [Configuration model](concepts/config-model/). @@ -24,7 +24,7 @@ Automatic, as soon as the agent is installed: - **Discovery:** a live inventory of the services, runtimes, and databases running on each host or cluster. - **Host metrics and logs:** CPU, memory, disk, and network metrics plus system logs, with no configuration. -- **eBPF baseline:** Rate, Errors, and Duration (RED) metrics, a network service map, Database Activity Monitoring (DAM), and trace-context propagation, with no code changes. +- **eBPF monitoring:** Rate, Errors, and Duration (RED) metrics, a network service map, Database Activity Monitoring (DAM), and trace-context propagation, with no code changes. Opt in per service or database: @@ -35,22 +35,22 @@ The agent also reports its own status and error logs. ## Supported platforms -The agent runs across four deployment modes. Not every capability applies to every mode: eBPF depends on the Linux kernel, so it does not apply on Windows, where an Event Tracing for Windows (ETW) baseline provides the equivalent view. +The agent runs across four deployment modes. Not every capability applies to every mode: eBPF depends on the Linux kernel, so it does not apply on Windows, where an Event Tracing for Windows (ETW) monitoring provides the equivalent view. | Capability | Linux / VM | Windows | Kubernetes | Docker | |---|---|---|---|---| | Service discovery | Yes | Yes | Yes | Yes | | Host metrics and logs | Yes | Yes | Yes | Yes | -| eBPF baseline (RED, service map, DAM) | Yes | Not applicable | Yes | Yes | -| Application APM (Java, Node.js, Python, .NET) | Yes | Yes | Yes | Rolling out | -| Application APM (PHP) | Yes | Not applicable | Not applicable | Rolling out | +| eBPF monitoring (RED, service map, DAM) | Yes | Not applicable | Yes | Yes | +| Application APM (Java, Node.js, Python, .NET) | Yes | Yes | Yes | Via eBPF | +| Application APM (PHP) | Yes | Not applicable | Not applicable | Yes | | Database monitoring | Yes | Yes | Yes | Yes | | Web server monitoring (nginx, Apache) | Yes | Not applicable | Yes | Yes | | Log monitoring (custom log files) | Yes | Yes | Not applicable | Yes | | Agent health and self-logs | Yes | Yes | Yes | Yes | :::note -On Linux, the eBPF baseline needs kernel 4.14 or newer, and unlocks more on 5.8 and above. On Docker, host metrics, logs, and the eBPF baseline work today; per-container application tracing is being rolled out. See [Docker platform notes](platform-notes/docker/). +On Linux, eBPF monitoring needs kernel 4.14 or newer, and unlocks more on 5.8 and above. On Docker, host and container metrics, logs, and eBPF monitoring are automatic; PHP containers are traced without a redeploy, and Java, Node.js, Python, and .NET are covered by eBPF monitoring. See [Docker platform notes](platform-notes/docker/). ::: ## Install the agent diff --git a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx index c3dd2c56..1a1ec05b 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx @@ -7,7 +7,7 @@ sidebar: Deploy `kmagent` across an Auto Scaling Group with zero manual per-instance work. Configure once in the Launch Template, every instance (existing + future scale-outs) gets the agent automatically. :::note -Once an instance's agent checks in, it starts in managed mode and begins collecting host metrics, logs, and the [eBPF baseline](../../ebpf-observability/) automatically. See the [configuration model](../../concepts/config-model/) and [host metrics and logs](../../baseline/host-metrics-and-logs/). +Once an instance's agent checks in, it starts in managed mode and begins collecting host metrics, logs, and the [eBPF monitoring](../../ebpf-observability/) automatically. See the [configuration model](../../concepts/config-model/) and [host metrics and logs](../../baseline/host-metrics-and-logs/). ::: ## Prerequisites diff --git a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx index ec3917f2..834a725f 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx @@ -82,7 +82,7 @@ For a hand-written `filelog` receiver in manual mode, see [Collect File Logs wit ## Coverage and configuration -In Docker mode, the agent collects host and container metrics, container and host logs, and, where the host kernel supports it, the [eBPF baseline](../../ebpf-observability/) (RED metrics, service map, and Database Activity Monitoring) across your containers with no code changes. Per-container application injection is being rolled out; see [Docker platform notes](../../platform-notes/docker/) for current coverage. +In Docker mode, the agent collects host and container metrics, container and host logs, and, where the host kernel supports it, the [eBPF monitoring](../../ebpf-observability/) (RED metrics, service map, and Database Activity Monitoring) across your containers with no code changes. For span-level application traces, the agent instruments PHP containers without a redeploy; Java, Node.js, Python, and .NET are covered by eBPF monitoring. See [Docker platform notes](../../platform-notes/docker/) for the per-runtime detail. New agents start in managed mode, so KloudMate generates the collector configuration for you. See the [configuration model](../../concepts/config-model/). diff --git a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx index 7b9b3594..8bac1d20 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx @@ -3,7 +3,6 @@ title: "Amazon ECS" description: "Install the KloudMate agent on Amazon ECS to collect APM, logs, and metrics for EC2 and Fargate workloads with a single script." sidebar: order: 5 -draft: true --- This guide covers installing the **KloudMate agent** on Amazon ECS so your services report traces (APM), logs, and metrics, with no changes to your application code or container images. One install script covers both ECS launch types, EC2 and Fargate, and picks the right approach for each. @@ -14,7 +13,7 @@ If you only want to ship container logs and don't want the agent, there's a manu How the agent runs depends on your launch type, because EC2 and Fargate give it very different access to the underlying host. -**EC2 launch type.** You own the container instances, so the agent runs as an ECS **daemon service**: one agent task per instance. That daemon is the collector, the telemetry gateway, and the eBPF baseline for the whole instance. It collects: +**EC2 launch type.** The EC2 container instances are self-managed, so the agent runs as an ECS **daemon service**: one agent task per instance. That daemon is the collector, the telemetry gateway, and eBPF monitoring for the whole instance. It collects: - **Host metrics:** CPU, memory, disk, and network for each container instance - **Container metrics:** per-container CPU, memory, network, and disk for every task on the instance @@ -34,7 +33,7 @@ APM is **language-aware**, and the runtime decides how a service gets traced: | Runtime | EC2 | Fargate | |---|---|---| | Java, Node.js, Python, .NET | SDK auto-injection (richer traces) | SDK auto-injection (richer traces) | -| Go, Rust, and others | eBPF baseline on the daemon | Logs and metrics only, no traces | +| Go, Rust, and others | eBPF monitoring on the daemon | Logs and metrics only, no traces | For **Java, Node.js, Python, and .NET**, the installer injects the OpenTelemetry SDK, which produces richer traces (framework spans, database statements). On EC2 it rewrites those services' task definitions to export to the daemon on the instance; on Fargate it adds the SDK plus a collector sidecar to the task. @@ -79,7 +78,7 @@ View all collected data in these KloudMate sections: ## Pre-requisites -You run the install script once from any machine that has AWS credentials for your account (your laptop, a CI job, or AWS CloudShell). It drives the ECS API and does **not** run on your container hosts. +Run the install script once from any machine that has AWS credentials for the account (a laptop, a CI job, or AWS CloudShell). It drives the ECS API and does **not** run on your container hosts. Before you start, make sure you have: @@ -101,10 +100,6 @@ Instrumenting a service (every Fargate install, and any EC2 install that names s **Step 3:** Copy the command for your launch type and run it from a machine with AWS credentials. -:::note - Screenshot placeholder: the in-product Amazon ECS install flow is still being built, so the real screenshots for Steps 1 to 3 aren't available yet. Add them under `installation/images/` once the flow ships. -::: - ### EC2 launch type This registers a daemon task definition and a daemon service, so one agent task runs on every container instance. List your Java/Node/Python/.NET services in `KM_ECS_SERVICES` to SDK-instrument them at the same time: @@ -123,7 +118,7 @@ KM_ECS_SERVICES=web,orders \ eBPF needs a privileged task with host PID and network access, which the daemon task definition already requests. :::caution - If your organization forbids privileged ECS tasks, the eBPF baseline won't run: set `KM_EBPF_ENABLED=false`. SDK-instrumented services (Java/Node/Python/.NET) still get full APM, but Go and other runtimes won't be traced. You still get host metrics, container metrics, and logs. + If your organization forbids privileged ECS tasks, eBPF monitoring won't run: set `KM_EBPF_ENABLED=false`. SDK-instrumented services (Java/Node/Python/.NET) still get full APM, but Go and other runtimes won't be traced. You still get host metrics, container metrics, and logs. ::: The EC2 instances also need their instance role to allow pulling images and writing logs. The AWS-managed `AmazonEC2ContainerServiceforEC2Role` policy covers it; a missing role shows up as image-pull failures on the agent tasks. @@ -174,7 +169,7 @@ Set these as environment variables on the command: | `KM_COLLECTOR_ENDPOINT` | No | `https://otel.kloudmate.com:4318` | Where telemetry is sent. | | `KM_REGION` | No | `aws configure get region` | Region for the agents' own CloudWatch logs. | | `KM_API_KEY_SECRET_ARN` | No | none | Reference the key from Secrets Manager instead of inlining it. | -| `KM_EBPF_ENABLED` | No | `true` | EC2 daemon eBPF baseline (traces Go and other non-SDK services). | +| `KM_EBPF_ENABLED` | No | `true` | EC2 daemon eBPF monitoring (traces Go and other non-SDK services). | | `KM_AGENT_BIN` | No | none | Path to a native `kmagent` binary for the injection step, so Docker isn't needed. | | `KM_DAEMON_FAMILY` | No | `km-agent-ec2` | EC2 daemon task-definition family. | | `KM_EC2_IMAGE` / `KM_ECS_IMAGE` / `KM_FIRELENS_IMAGE` | No | Pinned defaults | Override the agent or FireLens images. | diff --git a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx index 8ac0889a..321952f8 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx @@ -10,7 +10,7 @@ import { Tabs, TabItem } from '@astrojs/starlight/components'; Deploy the KloudMate agent across any cloud provider or on-premises infrastructure using Infrastructure as Code (IaC) and automation tools. :::note -However you provision it, each agent starts in managed mode and collects host metrics, logs, and the [eBPF baseline](../../ebpf-observability/) automatically once it checks in. See the [configuration model](../../concepts/config-model/). +However you provision it, each agent starts in managed mode and collects host metrics, logs, and the [eBPF monitoring](../../ebpf-observability/) automatically once it checks in. See the [configuration model](../../concepts/config-model/). ::: ## Deployment Approaches diff --git a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx index 2be43fae..16b63051 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx @@ -107,7 +107,7 @@ helm repo update helm install kloudmate-release kloudmate/km-kube-agent \ --namespace km-agent --create-namespace \ --set API_KEY="" \ - --set COLLECTOR_ENDPOINT="https://otel.kloudmate.dev:4318" \ + --set COLLECTOR_ENDPOINT="https://otel.kloudmate.com:4318" \ --set clusterName="test" \ --set monitoredNamespaces="default, prod, dev" \ --set featuresEnabled.logs="true" \ @@ -118,6 +118,10 @@ helm install kloudmate-release kloudmate/km-kube-agent \ If your Kubernetes cluster has nodes with taints, the agent pods must be assigned matching tolerations to be scheduled successfully. By default, the agent does not include any tolerations, but you can configure them during installation by using Helm parameters. +:::tip +The install wizard can build these flags for you. On the **Preferences** step, turn on **My nodes have taints**, then either choose **Run on every node** to tolerate every taint, or choose **Match specific taints** and add a row per taint. The wizard appends the matching `--set tolerations[...]` flags to your install command, so you don't have to write the syntax below by hand. +::: + Example Helm installation command with tolerations: ```bash @@ -228,7 +232,7 @@ annotations On Kubernetes, one agent represents one cluster: a fleet-manager pod applies the configuration, and the DaemonSet and Deployment collector pods do the collecting. The Helm chart installs the cluster role-based access control (RBAC) the agent needs. See [Kubernetes platform notes](../../platform-notes/kubernetes/). - Node, pod, and cluster telemetry starts flowing automatically. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). -- Where nodes run a supported kernel, the [eBPF baseline](../../ebpf-observability/) turns on per node. +- Where nodes run a supported kernel, the [eBPF monitoring](../../ebpf-observability/) turns on per node. - Use the **Discovered Services** view to instrument workloads for APM, or enable auto-instrumentation as shown above. See [Application APM on Kubernetes](../../auto-instrumentation/kubernetes/). - To monitor in-cluster databases, provide credentials through a Kubernetes Secret referenced by the `dbMonitoring.secretName` Helm value. See [Database monitoring on Kubernetes](../../database-monitoring/on-kubernetes/). diff --git a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx index 993073a1..cd285e54 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx @@ -81,12 +81,12 @@ For a hand-written `filelog` receiver in manual mode, see [Collect File Logs wit ## Configuration and next checks -New agents start in **managed mode**, with a default of host metrics, logs, and the eBPF baseline. You review and change what is collected from the web interface, without editing files on the host. See the [configuration model](../../concepts/config-model/). +New agents start in **managed mode**, with a default of host metrics, logs, and eBPF monitoring. You review and change what is collected from the web interface, without editing files on the host. See the [configuration model](../../concepts/config-model/). -After the agent is running, confirm the baseline and explore what it found: +After the agent is running, confirm what it collects and explore what it found: - Host metrics and logs start flowing automatically. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). -- On a supported Linux kernel (4.14 or newer), the [eBPF baseline](../../ebpf-observability/) turns on automatically and adds RED metrics and a service map. +- On a supported Linux kernel (4.14 or newer), the [eBPF monitoring](../../ebpf-observability/) turns on automatically and adds RED metrics and a service map. - Open the **Discovered Services** list for the host to see what the agent found and instrument a service. See [Discovery](../../concepts/discovery/). ## Next Steps diff --git a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx index 5f56addd..da933c9f 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx @@ -82,7 +82,7 @@ For a hand-written `filelog` receiver in manual mode, see [Collect File Logs wit The agent installs as a Windows service running as Local System, which is the privilege level it needs to read Internet Information Services (IIS) configuration and Windows Management Instrumentation (WMI). New agents start in managed mode; see the [configuration model](../../concepts/config-model/). - Host metrics and the Windows Event Log start flowing automatically. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). -- eBPF does not apply on Windows. The agent provides an equivalent baseline through Event Tracing for Windows (ETW). See [Windows platform notes](../../platform-notes/windows/). +- eBPF does not apply on Windows. The agent provides an equivalent monitoring through Event Tracing for Windows (ETW). See [Windows platform notes](../../platform-notes/windows/). - To add distributed tracing to .NET applications, see [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/). ## **Next Steps** diff --git a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx index 67491edb..0313e752 100644 --- a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx +++ b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx @@ -16,7 +16,7 @@ It applies to Linux and Windows virtual machine (VM) hosts and to Docker. It is Log monitoring is a managed-mode feature. You configure sources from the agent's **Configuration** page, on the **Logs** tab. See the [configuration model](../concepts/config-model/) for how managed mode works. - **Managed mode only.** The Logs tab is available when the agent is in managed mode. If the agent is in manual mode, the tab prompts you to switch. You can still add a `filelog` receiver by hand in manual mode: see [Manual configuration](#manual-configuration). -- **Independent sources.** Each source is isolated, so one badly configured source cannot affect the others or your host baseline logs. +- **Independent sources.** Each source is isolated, so one badly configured source cannot affect the others or your host system logs. - **It builds on the baseline.** The host baseline already ships system logs (the systemd journal on Linux, the Windows Event Log, container output on Docker) with no configuration. Log monitoring is for the extra application log **files** that the baseline does not pick up. See [Host metrics and logs](../baseline/host-metrics-and-logs/). ## Add a log source diff --git a/src/content/docs/docs/kloudmate-agent/management.mdx b/src/content/docs/docs/kloudmate-agent/management.mdx index dfeceadb..cb32e273 100644 --- a/src/content/docs/docs/kloudmate-agent/management.mdx +++ b/src/content/docs/docs/kloudmate-agent/management.mdx @@ -5,7 +5,7 @@ sidebar: order: 12 --- -You manage the KloudMate Agent centrally from the web UI, so you don't need to SSH into your servers or edit local YAML files. Changes you make in the dashboard are pushed to your agents automatically. +The KloudMate Agent is managed centrally from the web UI, so there is no need to SSH into servers or edit local YAML files. Changes made in the dashboard are pushed to the agents automatically. ## Agents Overview @@ -62,7 +62,7 @@ Deleting an agent decommissions it. Its instrumented applications are restarted Each agent runs in one of two configuration modes: - **Managed mode** (the default for new agents): KloudMate generates the collector configuration from the features and integrations you toggle, and the YAML editor shows a read-only preview. This is the recommended way to configure an agent. -- **Manual mode:** you own the raw YAML, and the feature toggles are disabled. This is for advanced, hand-tuned setups. +- **Manual mode:** the raw YAML is edited directly, and the feature toggles are disabled. This is for advanced, hand-tuned setups. You can switch an agent between modes. Switching from manual to managed replaces the hand-edited YAML with generated configuration, so review the change first. For the full model, see the [configuration model](../concepts/config-model/). diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx index a5d7b7cb..94631716 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -14,25 +14,56 @@ How the agent runs in Docker mode. For installation, see the [Docker installatio Running in Docker mode, the agent already covers your containers without touching them: - **Infrastructure, metrics, and logs:** host and container metrics and container logs, from the containerized collector. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). -- **eBPF baseline:** because the extended Berkeley Packet Filter (eBPF) runs in the host kernel, which containers share, it sees container processes and traffic transparently. You get Rate, Errors, and Duration (RED) metrics, the service map, and Database Activity Monitoring across your containers with no code changes and no injection. See [eBPF observability](../../ebpf-observability/). +- **eBPF monitoring:** because the extended Berkeley Packet Filter (eBPF) runs in the host kernel, which containers share, it sees container processes and traffic transparently. You get Rate, Errors, and Duration (RED) metrics, the service map, and Database Activity Monitoring across your containers with no code changes and no injection. See [eBPF observability](../../ebpf-observability/). ## Application-level tracing in containers -Full application traces need the language agent's startup environment inside the container, and host mechanisms such as systemd drop-ins do not cross the container boundary. How the agent handles this depends on the runtime: +eBPF monitoring traces every container the same way, so RED metrics, the service map, and Database Activity Monitoring are there from install with no per-container work. Whether the agent adds full, span-level application traces on top depends on the runtime: -- **PHP** containers can be instrumented in place: the agent installs the tracer inside the running container and reloads the process manager, with no redeploy. See [PHP instrumentation](../../auto-instrumentation/php/). -- **Java, Node.js, Python, and .NET** read their instrumentation from environment variables set at process start, and you cannot change a running container's startup environment without recreating it. The agent does not recreate your running containers. Instead, it computes the exact environment and read-only mounts to instrument the container and surfaces them for you to apply at your **next deploy** (for example, as a Compose override). eBPF continues to cover these containers in the meantime. +| Runtime | Span-level tracing in Docker | What you do | +|---|---|---| +| PHP 7 and 8 | Injected directly. The agent installs the tracer inside the running container and reloads the process manager, with no redeploy. | Turn on [PHP container instrumentation](../../auto-instrumentation/php/). | +| Java, Node.js, Python, .NET | eBPF monitoring only. The agent does not inject a language agent into a running container: these runtimes read their instrumentation from the process startup environment, which cannot change without recreating the container, and the agent does not recreate your containers. | [Add OpenTelemetry to the application](#send-full-opentelemetry-traces-from-your-containers) and point it at the agent, or run the service on a [Linux host](../../installation/linux-agent/) or [Amazon ECS](../../installation/ecs-agent/), where the agent instruments it for you. | +| Go | eBPF monitoring only. Go compiles to a static binary with no runtime to attach to. | Nothing. See [Go and eBPF](../../auto-instrumentation/go-ebpf/). | -Automatic per-image injection through a container startup hook is planned, so an opted-in image is instrumented on its next start without a manual snippet. It targets **images** rather than individual containers, so a selection is stable across container churn. +Whichever runtime you run, eBPF monitoring keeps covering the container, so you have RED metrics and a place on the service map before you add span-level tracing. + +## Send full OpenTelemetry traces from your containers + +For Java, Node.js, Python, and .NET, full traces come from OpenTelemetry running inside the application. You add it once, at build or deploy time, and point it at the agent, which already listens for OpenTelemetry (OTLP) data: + +- gRPC on port `4317` +- HTTP on port `4318` + +**1. Instrument the application.** Add OpenTelemetry to the service, with either the language's zero-code auto-instrumentation (the Java agent jar, the Node.js `--require` loader, and so on) or the OpenTelemetry SDK. These are the same language agents the agent adds automatically on a host, listed in the [application APM overview](../../auto-instrumentation/overview/). + +**2. Point it at the agent.** Set these environment variables on the application container: + +```bash +OTEL_EXPORTER_OTLP_ENDPOINT=http://AGENT_HOST:4317 +OTEL_SERVICE_NAME=your-service-name +``` + +Replace `AGENT_HOST` with an address that reaches the agent from inside the container: + +- **Docker Desktop (Mac or Windows):** `host.docker.internal`. +- **Linux:** the Docker bridge gateway, commonly `172.17.0.1`. Or add `--add-host=host.docker.internal:host-gateway` to the application container and use `host.docker.internal`. +- **Same Docker network:** if the agent runs as a service on the same user-defined network as the application, use its service name, for example `http://kmagent:4317`. + +To send over HTTP instead of gRPC, use port `4318` and add `OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf`. + +**3. Restart the service** so the instrumentation loads. Its traces then appear in KloudMate, joined to the service's eBPF spans on one trace. + +The agent produces this same result automatically on a [Linux host](../../installation/linux-agent/) or on [Amazon ECS](../../installation/ecs-agent/). In plain Docker you add the instrumentation yourself, because the agent cannot change a running container's startup environment without recreating it. ## Deployment posture -To configure container-level injection, the agent needs host access: +To instrument PHP containers and run eBPF monitoring, the agent needs host access: - Run the agent **on the host** with Docker socket and daemon access, or - Run it as a **privileged container with host mounts**. -The eBPF baseline likewise needs host kernel access. A plain, non-privileged agent container cannot reach the host runtime. +eBPF monitoring likewise needs host kernel access. A plain, non-privileged agent container cannot reach the host runtime. ## PHP 7 in containers @@ -42,6 +73,6 @@ A tracer built on the host must match the container's exact PHP build, so PHP 7 - + diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx index e76d6946..a899acc0 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx @@ -14,7 +14,7 @@ How the agent runs on Kubernetes. For installation, see the [Kubernetes installa On Kubernetes, a whole cluster appears in KloudMate as **one agent**, not one per node. It runs as a few pods: - **Fleet manager:** a single pod that applies your configuration to the cluster and reports each collector's status back to KloudMate. -- **Collector pods:** a **DaemonSet** (one per node) collects per-node metrics and pod logs and, where the kernel supports it, runs the eBPF baseline. A **Deployment** (a single replica) collects cluster metrics and events and acts as the OpenTelemetry (OTel) gateway. +- **Collector pods:** a **DaemonSet** (one per node) collects per-node metrics and pod logs and, where the kernel supports it, runs eBPF monitoring. A **Deployment** (a single replica) collects cluster metrics and events and acts as the OpenTelemetry (OTel) gateway. ## Per-node collector status diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx index 78ecef08..256f409b 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/windows.mdx @@ -1,6 +1,6 @@ --- title: "Windows platform notes" -description: "How the KloudMate agent runs on Windows: discovery through IIS and WMI, the ETW baseline, injection mechanisms, and privileges." +description: "How the KloudMate agent runs on Windows: discovery through IIS and WMI, ETW monitoring, injection mechanisms, and privileges." sidebar: order: 2 --- @@ -23,9 +23,9 @@ To build the Discovered Services list, the agent enumerates: Discovered services appear with a kind of `iis` or `windows_service`. See [Discovery](../../concepts/discovery/). -## The ETW baseline +## ETW monitoring -Because Windows has no eBPF, the agent provides an equivalent zero-code baseline through a custom Event Tracing for Windows (ETW) receiver. It taps the HTTP.sys provider to emit server spans (at the request-path level) and Rate, Errors, and Duration (RED) metrics for all IIS traffic, without injection. This covers workloads that cannot use the .NET profiler, including legacy .NET Framework 3.5 pools and non-.NET applications on IIS. The receiver reads events only and makes no changes to your applications. See [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/) for how the ETW baseline and the CLR profiler work together. +Because Windows has no eBPF, the agent provides an equivalent zero-code monitoring through a custom Event Tracing for Windows (ETW) receiver. It taps the HTTP.sys provider to emit server spans (at the request-path level) and Rate, Errors, and Duration (RED) metrics for all IIS traffic, without injection. This covers workloads that cannot use the .NET profiler, including legacy .NET Framework 3.5 pools and non-.NET applications on IIS. The receiver reads events only and makes no changes to your applications. See [Windows and .NET application APM](../../auto-instrumentation/windows-dotnet/) for how ETW monitoring and the CLR profiler work together. ## Injection mechanisms @@ -42,7 +42,7 @@ The agent runs as a Windows service under the **Local System** account, which gi - Write the registry and `applicationHost.config` entries for instrumentation, and recycle pools or restart services. - Register as an ETW consumer, which requires elevation. -## Baseline collection +## Automatic collection Alongside application instrumentation, the agent collects the Windows host baseline: performance counters, the Windows Event Log, IIS metrics, and Windows service status. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). @@ -51,5 +51,5 @@ Alongside application instrumentation, the agent collects the Windows host basel - + diff --git a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx index eb55e898..92b9a76f 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/glossary.mdx @@ -19,13 +19,13 @@ Definitions of the terms used across the agent documentation. **eBPF (extended Berkeley Packet Filter).** A Linux kernel technology the agent uses to observe applications, network, and databases without code changes. See [eBPF observability](../../ebpf-observability/). -**ETW (Event Tracing for Windows).** The Windows equivalent of the eBPF baseline. The agent taps ETW to produce request spans and RED metrics for IIS traffic. See [Windows platform notes](../../platform-notes/windows/). +**ETW (Event Tracing for Windows).** The Windows equivalent of eBPF monitoring. The agent taps ETW to produce request spans and RED metrics for IIS traffic. See [Windows platform notes](../../platform-notes/windows/). **Fleet manager.** On Kubernetes, the pod that applies the generated configuration to the cluster and reports each collector's status back. See [Kubernetes platform notes](../../platform-notes/kubernetes/). **Managed mode.** A configuration mode in which KloudMate generates the collector configuration from your enabled integrations, and the YAML editor is a read-only preview. Contrast manual mode. See the [configuration model](../../concepts/config-model/). -**Manual mode.** A configuration mode in which you own the raw collector YAML and the feature toggles are disabled. For advanced, hand-tuned setups. See the [configuration model](../../concepts/config-model/). +**Manual mode.** A configuration mode in which the raw collector YAML is edited directly and the feature toggles are disabled. For advanced, hand-tuned setups. See the [configuration model](../../concepts/config-model/). **Pipeline.** A path through the collector for one signal (metrics, traces, or logs), made of receivers, processors, and exporters. @@ -35,7 +35,7 @@ Definitions of the terms used across the agent documentation. **Receiver.** A collector component that collects telemetry from a source, such as `hostmetrics`, `filelog`, or a database receiver like `postgresql`. -**RED metrics.** Rate, Errors, and Duration: the key metrics the eBPF baseline produces for each service, with no instrumentation. +**RED metrics.** Rate, Errors, and Duration: the key metrics eBPF monitoring produces for each service, with no instrumentation. **Server address.** The canonical, routable address the agent stamps on database telemetry so metrics and traces for the same database join. See [Telemetry identity](../telemetry-identity/). diff --git a/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx b/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx index 01c10b37..a1cb389e 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/metric-catalogs.mdx @@ -1,6 +1,6 @@ --- title: "Metric catalogs" -description: "Reference catalogs for the KloudMate agent: host metrics, the eBPF baseline, per-engine database metrics, and the agent's own self-metrics." +description: "Reference catalogs for the KloudMate agent: host metrics, eBPF monitoring, per-engine database metrics, and the agent's own self-metrics." sidebar: order: 1 --- @@ -13,11 +13,9 @@ This page lists the kinds of metrics the agent produces. Metric names follow Ope The host baseline produces system-level metrics such as CPU, memory, disk, filesystem, and network usage, under the `system.*` namespace. On Windows, host metrics come from performance counters. See [Host metrics and logs](../../baseline/host-metrics-and-logs/) and the [Infrastructure](../../../infrastructure/) documentation for the views built on them. -## eBPF baseline metrics +## eBPF monitoring metrics -The eBPF baseline produces Rate, Errors, and Duration (RED) metrics for your services and the data behind the service map, including request rate, error rate, request duration, and inter-service edges. It also captures database queries on the wire for Database Activity Monitoring. See [eBPF observability](../../ebpf-observability/). - -TODO(verify): list the exact eBPF RED and service-map metric names once confirmed against the receiver build. +eBPF monitoring produces Rate, Errors, and Duration (RED) metrics for your services and the data behind the service map: request rate, error rate, request duration, and the inter-service edges that draw the map. It also captures database queries on the wire for Database Activity Monitoring. These power the service map and the prebuilt RED views, which is where you read them; see [eBPF observability](../../ebpf-observability/). ## Database metrics diff --git a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx index 8eb8e1b5..536ec865 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/telemetry-identity.mdx @@ -36,7 +36,7 @@ The agent also stamps a per-instance **`service.name`** of the form ` Date: Fri, 17 Jul 2026 08:44:59 +0530 Subject: [PATCH 15/39] doc language and tone sweep --- .../ml-classifier-deployment-guide.mdx | 2 +- .../mongodb-monitoring.mdx | 6 ++--- .../mssql-monitoring.mdx | 6 ++--- .../mysql-monitoring.mdx | 8 +++--- .../oracledb-monitoring.mdx | 8 +++--- .../postgresql-monitoring.mdx | 6 ++--- .../redis-monitoring.mdx | 6 ++--- .../direct-database-monitoring.mdx | 6 ++--- .../opentelemetry-database-monitoring.mdx | 4 +-- .../docs/getting-started/core-concepts.mdx | 12 ++++----- .../docs/docs/getting-started/get-help.mdx | 20 +++++++-------- .../sending-data-to-kloudmate.mdx | 8 +++--- .../getting-started/what-is-kloudmate.mdx | 25 ++++++++----------- .../docs/docs/logs/collect-file-logs.mdx | 2 +- .../docs/docs/logs/log-explorer/index.mdx | 2 +- .../docs/docs/opentelemetry/data-sampling.mdx | 6 ++--- ...installing-the-opentelemetry-collector.mdx | 8 +++--- .../opentelemetry/masking-sensitive-data.mdx | 10 ++++---- .../opentelemetry/what-is-opentelemetry.mdx | 2 +- 19 files changed, 64 insertions(+), 83 deletions(-) diff --git a/src/content/docs/docs/database-monitoring/database-activity-monitoring-dam/ml-classifier-deployment-guide.mdx b/src/content/docs/docs/database-monitoring/database-activity-monitoring-dam/ml-classifier-deployment-guide.mdx index b6f60db5..990cf219 100644 --- a/src/content/docs/docs/database-monitoring/database-activity-monitoring-dam/ml-classifier-deployment-guide.mdx +++ b/src/content/docs/docs/database-monitoring/database-activity-monitoring-dam/ml-classifier-deployment-guide.mdx @@ -5,7 +5,7 @@ sidebar: order: 2 --- -The **KloudMate ML Classifier** is an AI-powered data security module that natively integrates with your telemetry pipeline. By leveraging advanced Machine Learning engines alongside pattern-matching rules, it automatically inspects database queries in real-time to meticulously detect sensitive information, such as PII (Personally Identifiable Information) and PHI (Protected Health Information). It then dynamically enriches your traces with risk fingerprints before your telemetry ever leaves your infrastructure. +The **KloudMate ML Classifier** inspects database queries in your telemetry pipeline to detect sensitive data, such as Personally Identifiable Information (PII) and Protected Health Information (PHI). It combines a machine learning model with pattern-matching rules, and tags your traces with risk fingerprints before the telemetry leaves your infrastructure. This guide covers two strategies for deploying the **KloudMate ML Classifier**: diff --git a/src/content/docs/docs/database-monitoring/database-integrations/mongodb-monitoring.mdx b/src/content/docs/docs/database-monitoring/database-integrations/mongodb-monitoring.mdx index 09860a8c..5c1c7fda 100644 --- a/src/content/docs/docs/database-monitoring/database-integrations/mongodb-monitoring.mdx +++ b/src/content/docs/docs/database-monitoring/database-integrations/mongodb-monitoring.mdx @@ -1,10 +1,8 @@ --- title: "MongoDB" -description: "Documentation for MongoDB Monitoring" +description: "Monitor MongoDB health, performance, and logs with the KloudMate Agent and OpenTelemetry." --- -MongoDB is a widely used NoSQL database designed for scalability and flexibility. It stores data in a JSON-like format (BSON), enabling dynamic schema design and efficient handling of unstructured data. MongoDB is known for its high performance in read- and write-heavy environments and is commonly used for real-time analytics, content management, and IoT systems. It supports horizontal scaling through sharding and provides built-in replication for high availability. - -MongoDB Monitoring in KloudMate helps you observe the health, performance, and behavior of your MongoDB servers by collecting metrics and logs using the **KloudMate Agent** powered by OpenTelemetry. This allows you to monitor MongoDB instances running on AWS EC2, Azure Virtual Machines, or on-premise servers from a centralized view. +This guide sets up MongoDB monitoring with the **KloudMate Agent** and OpenTelemetry. It collects metrics and logs so you can watch the health, performance, and behavior of MongoDB instances running on AWS EC2, Azure Virtual Machines, or on-premise servers. ### **What This Integration Provides** diff --git a/src/content/docs/docs/database-monitoring/database-integrations/mssql-monitoring.mdx b/src/content/docs/docs/database-monitoring/database-integrations/mssql-monitoring.mdx index 18410d7a..08070f47 100644 --- a/src/content/docs/docs/database-monitoring/database-integrations/mssql-monitoring.mdx +++ b/src/content/docs/docs/database-monitoring/database-integrations/mssql-monitoring.mdx @@ -1,11 +1,9 @@ --- title: "MSSQL" -description: "Documentation for MSSQL Monitoring" +description: "Monitor Microsoft SQL Server health, performance, queries, and logs with the KloudMate Agent and OpenTelemetry." --- -Microsoft SQL Server (MSSQL) is a robust relational database management system from Microsoft, renowned for its enterprise-grade performance, high availability features, and advanced analytics capabilities. It powers mission-critical applications, data warehousing, and business intelligence workloads. - -MSSQL Monitoring in KloudMate helps you observe the health, performance, and behavior of your Microsoft SQL Server instances by collecting metrics and logs using the KloudMate Agent powered by OpenTelemetry. This enables centralized monitoring of MSSQL instances running on Windows hosts, AWS EC2, Azure Virtual Machines, or on-premise servers. +This guide sets up Microsoft SQL Server (MSSQL) monitoring with the KloudMate Agent and OpenTelemetry. It collects metrics and logs so you can watch the health, performance, and query behavior of MSSQL instances running on Windows hosts, AWS EC2, Azure Virtual Machines, or on-premise servers. # MSSQL Integration using KloudMate Agents diff --git a/src/content/docs/docs/database-monitoring/database-integrations/mysql-monitoring.mdx b/src/content/docs/docs/database-monitoring/database-integrations/mysql-monitoring.mdx index 61d202dc..6fce644e 100644 --- a/src/content/docs/docs/database-monitoring/database-integrations/mysql-monitoring.mdx +++ b/src/content/docs/docs/database-monitoring/database-integrations/mysql-monitoring.mdx @@ -1,12 +1,10 @@ --- -title: "MYSQL" -description: "Documentation for MYSQL Monitoring" +title: "MySQL" +description: "Monitor MySQL health, performance, and logs with the KloudMate Agent and OpenTelemetry." --- ![image](./images/mysql-monitoring-1.png) -The MySQL integration delivers near real-time health and performance metrics for your MySQL databases. These metrics are visualized using a built-in dashboard, and you can configure alerts to notify your team about important MySQL conditions. - -MySQL Monitoring in KloudMate helps you observe the health, performance, and behavior of your MySQL databases by collecting metrics and logs using the **KloudMate Agent** powered by OpenTelemetry. This enables centralized monitoring of MySQL instances running on AWS EC2, Azure Virtual Machines, or on-premise servers. +This guide sets up MySQL monitoring with the **KloudMate Agent** and OpenTelemetry. It collects metrics and logs so you can watch the health, performance, and query behavior of MySQL instances running on AWS EC2, Azure Virtual Machines, or on-premise servers. A built-in dashboard visualizes the metrics, and you can set alerts on key MySQL conditions. # MySQL Integration using KloudMate Agents diff --git a/src/content/docs/docs/database-monitoring/database-integrations/oracledb-monitoring.mdx b/src/content/docs/docs/database-monitoring/database-integrations/oracledb-monitoring.mdx index 0bf72fe5..e0ceab27 100644 --- a/src/content/docs/docs/database-monitoring/database-integrations/oracledb-monitoring.mdx +++ b/src/content/docs/docs/database-monitoring/database-integrations/oracledb-monitoring.mdx @@ -1,11 +1,9 @@ --- title: "OracleDB" -description: "Documentation for OracleDB Monitoring" +description: "Monitor Oracle Database sessions, performance, tablespaces, and logs with the KloudMate Agent and OpenTelemetry." --- -Oracle Database (OracleDB) is foundational for many enterprise applications, and robust monitoring is essential for maintaining performance and reliability. KloudMate provides comprehensive visibility into OracleDB by delivering real-time insights through logs and metrics using the KloudMate Agent powered by OpenTelemetry. - -OracleDB Monitoring in KloudMate enables centralized monitoring of Oracle Database instances running on AWS EC2, Azure Virtual Machines, or on-premise servers. +This guide sets up Oracle Database (OracleDB) monitoring with the KloudMate Agent and OpenTelemetry. It collects logs and metrics so you can watch sessions, system statistics, tablespace usage, and performance across OracleDB instances running on AWS EC2, Azure Virtual Machines, or on-premise servers. # OracleDB Integration using KloudMate Agents @@ -63,7 +61,7 @@ Two named receiver instances are used to logically separate SQL performance quer - Log in to the KloudMate platform - Go to **Settings → Agents** -- Select the agent running on the PostgreSQL host +- Select the agent running on the OracleDB host - Click **Actions → Collector Configuration** - YAML editor opens for configuration diff --git a/src/content/docs/docs/database-monitoring/database-integrations/postgresql-monitoring.mdx b/src/content/docs/docs/database-monitoring/database-integrations/postgresql-monitoring.mdx index 03961180..58766ff0 100644 --- a/src/content/docs/docs/database-monitoring/database-integrations/postgresql-monitoring.mdx +++ b/src/content/docs/docs/database-monitoring/database-integrations/postgresql-monitoring.mdx @@ -1,12 +1,10 @@ --- title: "PostgreSQL" -description: "Documentation for PostgreSQL Monitoring" +description: "Monitor PostgreSQL health, performance, queries, and logs with the KloudMate Agent and OpenTelemetry." --- ![image](./images/postgresql-monitoring-1.png) -PostgreSQL is a powerful open-source relational database known for reliability, extensibility, and strong compliance with SQL standards. It is widely used for transactional applications, analytics workloads, and enterprise systems that require data integrity and performance. - -PostgreSQL Monitoring in KloudMate helps you observe the health, performance, and behavior of your PostgreSQL databases by collecting metrics and logs using the **KloudMate Agent** powered by OpenTelemetry. This enables centralized monitoring of PostgreSQL instances running on AWS EC2, Azure Virtual Machines, or on-premise servers. +This guide sets up PostgreSQL monitoring with the **KloudMate Agent** and OpenTelemetry. It collects metrics and logs so you can watch the health, performance, and query behavior of PostgreSQL instances running on AWS EC2, Azure Virtual Machines, or on-premise servers. # PostgreSQL Integration using KloudMate Agents diff --git a/src/content/docs/docs/database-monitoring/database-integrations/redis-monitoring.mdx b/src/content/docs/docs/database-monitoring/database-integrations/redis-monitoring.mdx index 47c47636..f544845b 100644 --- a/src/content/docs/docs/database-monitoring/database-integrations/redis-monitoring.mdx +++ b/src/content/docs/docs/database-monitoring/database-integrations/redis-monitoring.mdx @@ -1,10 +1,8 @@ --- title: "Redis" -description: "Documentation for Redis Monitoring" +description: "Monitor Redis health and performance with the KloudMate Agent and OpenTelemetry." --- -Redis is an in-memory data structure store commonly used as a database, cache, and message broker. It is designed for high performance and low latency, making it suitable for real-time applications such as caching, session management, analytics, messaging queues, and leaderboards. Redis supports multiple data structures and offers features such as persistence, replication, and clustering for scalability and high availability. - -Redis Monitoring in KloudMate helps you observe the health, performance, and behavior of your Redis servers by collecting metrics using the **KloudMate Agent** powered by OpenTelemetry. This enables centralized monitoring of Redis instances running on cloud virtual machines or on-premise servers. +This guide sets up Redis monitoring with the **KloudMate Agent** and OpenTelemetry. It collects metrics so you can watch the health and performance of Redis instances running on cloud virtual machines or on-premise servers. ### What This Integration Provides diff --git a/src/content/docs/docs/database-monitoring/direct-database-monitoring.mdx b/src/content/docs/docs/database-monitoring/direct-database-monitoring.mdx index 295c072b..9d2c5a5b 100644 --- a/src/content/docs/docs/database-monitoring/direct-database-monitoring.mdx +++ b/src/content/docs/docs/database-monitoring/direct-database-monitoring.mdx @@ -1,16 +1,16 @@ --- title: "Direct Database Monitoring" -description: "Documentation for Direct Database Monitoring" +description: "Connect the KloudMate Agent directly to a database with a read-only user for query metrics, execution plans, and schema metadata." sidebar: order: 4 --- -The KloudMate Agent can connect directly to your database using a dedicated monitoring user to collect deep query metrics, execution plans, and schema metadata. This approach provides the richest level of database insight — including per-query latency breakdowns, explain plans, and wait event analysis — across both self-hosted and managed database services. +The KloudMate Agent can connect directly to your database using a dedicated monitoring user to collect deep query metrics, execution plans, and schema metadata. It collects the most detailed query-level data, including per-query latency breakdowns, explain plans, and wait event analysis, across self-hosted and managed database services. :::note When to Use - Use Direct Database Monitoring when you need deep query-level analytics, including execution plans, query digest metrics, wait event analysis, and schema discovery. This is the most comprehensive monitoring approach and works on any environment — self-hosted, RDS, Aurora, Cloud SQL, Azure, or AlloyDB. + Use Direct Database Monitoring when you need deep query-level analytics, including execution plans, query digest metrics, wait event analysis, and schema discovery. This is the most complete monitoring approach and works on any environment: self-hosted, RDS, Aurora, Cloud SQL, Azure, or AlloyDB. ::: ## How It Works diff --git a/src/content/docs/docs/database-monitoring/opentelemetry-database-monitoring.mdx b/src/content/docs/docs/database-monitoring/opentelemetry-database-monitoring.mdx index 052d639b..7f9c20ed 100644 --- a/src/content/docs/docs/database-monitoring/opentelemetry-database-monitoring.mdx +++ b/src/content/docs/docs/database-monitoring/opentelemetry-database-monitoring.mdx @@ -1,6 +1,6 @@ --- title: "OpenTelemetry Database Monitoring" -description: "Documentation for OpenTelemetry Database Monitoring" +description: "Capture database query spans with OpenTelemetry SDK auto-instrumentation and send them to KloudMate." sidebar: order: 3 --- @@ -43,7 +43,7 @@ OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4318" OTEL_SERVICE_NAME="your-service-name" ``` -Database spans will automatically be captured when using supported auto-instrumentation libraries. +Database spans are captured automatically when you use supported auto-instrumentation libraries. :::note For zero-configuration kernel-level profiling, see [Database Access Monitoring (DAM)](../database-activity-monitoring-dam/). For deep query analytics with execution plans and schema discovery, see [Direct Database Monitoring](../direct-database-monitoring/). diff --git a/src/content/docs/docs/getting-started/core-concepts.mdx b/src/content/docs/docs/getting-started/core-concepts.mdx index b7c1526b..593aa91c 100644 --- a/src/content/docs/docs/getting-started/core-concepts.mdx +++ b/src/content/docs/docs/getting-started/core-concepts.mdx @@ -5,7 +5,7 @@ sidebar: order: 2 --- -KloudMate relies on industry-standard observability frameworks to seamlessly collect and analyze data from your infrastructure and applications. Before integrating your systems, it helps to understand three fundamental concepts: **Signals** , **OpenTelemetry** , and **eBPF**. +KloudMate collects and analyzes data from your infrastructure and applications through open observability standards. Before you integrate your systems, it helps to understand three concepts: **Signals**, **OpenTelemetry**, and **eBPF**. This 2-minute primer provides the essential context you need to get started. @@ -23,7 +23,7 @@ Observability is built upon three primary pillars of data, often referred to as KloudMate uses OTel as its primary data integration layer. This offers several advantages: - **No Vendor Lock-in:** You instrument your code once using OTel standards. You don't need proprietary KloudMate code in your applications. -- **Standardized Data:** OTel ensures that the data sent to KloudMate is uniformly structured, making correlation and analysis much more powerful. +- **Standardized Data:** OTel keeps the data sent to KloudMate uniformly structured, so correlation and analysis across sources stay consistent. - **The Collector:** OTel provides a "Collector" component that can receive, process, and export data. When you set up KloudMate integrations, you are often configuring an OTel Collector to forward data to the KloudMate platform. *For more details, see our dedicated [OpenTelemetry Guide](../../opentelemetry/).* @@ -36,10 +36,10 @@ A **service-level objective (SLO)** turns the question *"is this service reliabl [eBPF](https://ebpf.io/) is a technology that allows programs to run directly within the operating system kernel safely and efficiently, without requiring kernel source code changes or loading kernel modules. -In the context of observability and the KloudMate Agent (KloudMate Agent): -- **Zero-Code Instrumentation:** eBPF allows the agent to observe network traffic, application performance, and system calls automatically. You do not need to modify your application code to get deep insights. -- **Low Overhead:** Because eBPF runs in the kernel, it can collect high-fidelity data (like detailed network metrics or process executions) with extremely low performance overhead. -- **Immediate Visibility:** By deploying the KloudMate Agent (which leverages eBPF), you gain instant visibility into your infrastructure without manual configuration. +For the KloudMate Agent, eBPF provides: +- **Zero-Code Instrumentation:** the agent observes network traffic, application performance, and system calls automatically, with no changes to your application code. +- **Low Overhead:** because eBPF runs in the kernel, it collects high-fidelity data, such as detailed network metrics or process executions, with low performance overhead. +- **Immediate Visibility:** deploying the KloudMate Agent, which uses eBPF, gives you visibility into your infrastructure without manual configuration. ## Next Steps diff --git a/src/content/docs/docs/getting-started/get-help.mdx b/src/content/docs/docs/getting-started/get-help.mdx index 028ef060..d9567f13 100644 --- a/src/content/docs/docs/getting-started/get-help.mdx +++ b/src/content/docs/docs/getting-started/get-help.mdx @@ -1,14 +1,12 @@ ---- -title: "Get Help" -description: "Find support channels, community links, and ways to contact the KloudMate team." -sidebar: - order: 5 --- -**For questions, feedback, bug reports, or feature requests, we are always available.** Our growing community and support teams are available **round-the-clock**, to help you with anything and everything. You can reach our support teams by: - -- Using the live chat widget in the bottom right corner of [the website](https://www.kloudmate.com) -- Writing to us at [hello@kloudmate.com](mailto\:hello@kloudmate.com) +title: "Get Help" +description: "Find support channels, community links, and ways to contact the KloudMate team." +sidebar: + order: 5 +--- -We respond to queries via email and have a [Slack Community](https://join.slack.com/t/kloudmate/shared_invite/zt-zvzq985i-Khwnq2jsm5uLTdBe87gCgw) of developers and customers who interact, share experiences, and support each other. The community offers faster responses to issues or queries that you might have. +Have a question, a bug to report, or a feature request? Here is how to reach the KloudMate team and community. -[Join us on Slack](https://join.slack.com/t/kloudmate/shared_invite/zt-zvzq985i-Khwnq2jsm5uLTdBe87gCgw) +- **Live chat.** Use the chat widget in the bottom-right corner of [the website](https://www.kloudmate.com). +- **Email.** Write to [hello@kloudmate.com](mailto:hello@kloudmate.com), and the support team replies by email. +- **Slack community.** Join the [KloudMate Slack](https://join.slack.com/t/kloudmate/shared_invite/zt-zvzq985i-Khwnq2jsm5uLTdBe87gCgw) to ask questions and compare notes with other developers and customers. It is usually the fastest way to get an answer. diff --git a/src/content/docs/docs/getting-started/sending-data-to-kloudmate.mdx b/src/content/docs/docs/getting-started/sending-data-to-kloudmate.mdx index d206233d..a43ac258 100644 --- a/src/content/docs/docs/getting-started/sending-data-to-kloudmate.mdx +++ b/src/content/docs/docs/getting-started/sending-data-to-kloudmate.mdx @@ -6,9 +6,9 @@ sidebar: --- import { LinkCard } from 'starlight-theme-nova/components' -KloudMate provides multiple, flexible methods for ingesting your observability data. Because KloudMate is built natively on OpenTelemetry standards, you are never locked into a proprietary collection method. +KloudMate can ingest your telemetry several ways. Because it is built on OpenTelemetry, you are not locked into a proprietary collection method. -Choose the ingestion path below that best matches your existing architecture, your environment (cloud vs. on-premise), and how much control you want over the telemetry collection process. +Choose the ingestion path below that best matches your architecture, your environment (cloud or on-premise), and how much control you want over telemetry collection. ## Recommended Starting Points @@ -63,9 +63,9 @@ If you are unsure where to begin, use this table to map your immediate goal to t ## Common Rollout Pattern -For teams starting from scratch, the following phased approach is recommended: +For a team starting from scratch, a phased rollout works well: -1. **Infrastructure First:** Start with the [KloudMate Agent](../../kloudmate-agent/) to get baseline telemetry, host metrics, and zero-code visibility. +1. **Infrastructure First:** Start with the [KloudMate Agent](../../kloudmate-agent/) to get host metrics, logs, and zero-code visibility. 2. **Application Tracing:** Add [OpenTelemetry](../../opentelemetry/) instrumentation to your applications where you need richer distributed tracing or custom metrics. 3. **Cloud Integrations:** Layer in cloud-specific integrations for [AWS](../../aws-integration/), [Azure](../../azure-integration/), or [Prometheus](../../infrastructure/integrations/prometheus-integration/) to centralize your remaining data sources. diff --git a/src/content/docs/docs/getting-started/what-is-kloudmate.mdx b/src/content/docs/docs/getting-started/what-is-kloudmate.mdx index e221f526..b1ac2eec 100644 --- a/src/content/docs/docs/getting-started/what-is-kloudmate.mdx +++ b/src/content/docs/docs/getting-started/what-is-kloudmate.mdx @@ -4,26 +4,21 @@ description: "Learn what KloudMate is and how it brings logs, metrics, traces, a sidebar: order: 1 --- -[KloudMate](https://www.kloudmate.com) is a comprehensive **observability platform** that helps developers identify and troubleshoot issues and optimize application performance across distributed environments. -KloudMate offers **end-to-end visibility** into application infrastructures, distributed systems, and development environments. It includes **OpenTelemetry integration,** a real-time alerting system, powerful dashboards, and more — all designed to provide comprehensive observability and monitoring. **KloudMate offers a Single-Source-of-Truth approach** for observability by enabling developers to gather and consolidate telemetry data from multiple distributed systems using **OpenTelemetry.** With KloudMate, you can diagnose your application infrastructure, pinpoint and troubleshoot errors, and drill down to associated logs, metrics, or traces. +[KloudMate](https://www.kloudmate.com) is an observability platform for finding and fixing problems across distributed systems. You collect logs, metrics, and traces from your applications and infrastructure in one place, then follow a single request across those signals to diagnose an issue instead of switching between tools. -And to keep things neat and organized, KloudMate lets you create multiple **Workspaces**. You can use workspaces to group multiple teams, accounts, or orgs. For example, you can create separate workspaces for development, production, etc. +It builds on [OpenTelemetry](https://opentelemetry.io/), so you instrument once with an open standard instead of a proprietary agent. On top of that data you get dashboards, real-time alerting, and correlation across signals, so a spike in one chart links to the logs and traces behind it. -### Observability +## Workspaces -Observability is the practice of using tools to aggregate, correlate, and analyze streams of data from applications and the underlying infrastructure. +A **workspace** groups related environments, teams, or accounts and keeps their data and access separate. A common setup is one workspace each for development, staging, and production. Add or rename workspaces later under **Settings → Workspaces**. -Observability essentially depends upon the ability to log, monitor, and trace different servers, applications, systems, and data processes across the lifecycle of the environment. +## What observability means here -KloudMate's observability tools give you visibility into distributed application resources, faster insights, and automated problem identification and resolution. +Observability is the ability to understand what a system is doing from the signals it emits, by collecting and correlating logs, metrics, and traces across every service and host. When something breaks, that correlated view is what lets you find the cause instead of guessing at it. -The pages in this section will help you get started with KloudMate. +## Next steps -Related Resources - -- [Setting Up KloudMate](../setting-up-kloudmate/) -- [Sending Data to KloudMate](../sending-data-to-kloudmate/) -- [Get Help](../get-help/) - -# +- [Setting up KloudMate](../setting-up-kloudmate/) — sign up and send your first event. +- [Sending data to KloudMate](../sending-data-to-kloudmate/) — pick an ingestion path. +- [Get help](../get-help/) — support and community. diff --git a/src/content/docs/docs/logs/collect-file-logs.mdx b/src/content/docs/docs/logs/collect-file-logs.mdx index bc1125cb..68430643 100644 --- a/src/content/docs/docs/logs/collect-file-logs.mdx +++ b/src/content/docs/docs/logs/collect-file-logs.mdx @@ -64,7 +64,7 @@ service: Set `start_at: beginning` if you want to ingest existing file contents instead of only new log lines. The `include` array also supports wildcards (like `*.log`) to match multiple files at once. ::: -After updating the configuration, save the collector configuration in the KloudMate UI. The KloudMate Agent will automatically detect the changes and reload the configuration. +After updating the configuration, save it in the KloudMate UI. The KloudMate Agent detects the change and reloads the configuration automatically. ## Step 3: Validate Log Ingestion diff --git a/src/content/docs/docs/logs/log-explorer/index.mdx b/src/content/docs/docs/logs/log-explorer/index.mdx index f2ae670d..f95ffe53 100644 --- a/src/content/docs/docs/logs/log-explorer/index.mdx +++ b/src/content/docs/docs/logs/log-explorer/index.mdx @@ -31,7 +31,7 @@ Refine results further by adjusting the selected time range from the time scale ### Filter -Use the sidebar filters to narrow the result set by relevant dimensions. Multiple filters can be combined to isolate a very specific set of logs. +Use the sidebar filters to narrow the result set by relevant dimensions. Combine multiple filters to isolate a specific set of logs. ![image](./images/log-explorer-3.jpeg) diff --git a/src/content/docs/docs/opentelemetry/data-sampling.mdx b/src/content/docs/docs/opentelemetry/data-sampling.mdx index f75f15ce..36379dcb 100644 --- a/src/content/docs/docs/opentelemetry/data-sampling.mdx +++ b/src/content/docs/docs/opentelemetry/data-sampling.mdx @@ -5,13 +5,13 @@ sidebar: label: "Data Sampling" order: 6 --- -When managing high-volume telemetry environments, you may not need or want to send 100% of your traces and logs to KloudMate. Data sampling allows you to selectively retain a representative subset of your telemetry, helping you manage storage costs and network bandwidth without losing visibility into your system's overall health and performance. +In a high-volume environment, you may not want to send every trace and log to KloudMate. Sampling keeps a representative subset of your telemetry, which lowers storage and network costs while preserving visibility into overall health and performance. The OpenTelemetry Collector provides several processors for sampling data. The two most common approaches are **Head Sampling** (making a sampling decision at the beginning of a trace) and **Tail Sampling** (making a decision after all spans for a trace have been collected). ## Probabilistic Sampling (Head Sampling) -The easiest way to reduce volume is to apply a uniform probabilistic sampling rate. The `probabilistic_sampler` processor randomly drops a specified percentage of your data. +To reduce volume with a uniform rate, use the `probabilistic_sampler` processor, which randomly drops a set percentage of your data. This processor can be used for both **traces** and **logs**. @@ -39,7 +39,7 @@ service: ## Tail Sampling -Tail sampling gives you much more control by allowing you to evaluate the *entire* trace before deciding whether to keep it or drop it. This is highly recommended because it allows you to configure policies like "keep 100% of errors, but only keep 10% of successful traces." +Tail sampling evaluates the *entire* trace before deciding whether to keep it, so you can write policies like "keep 100% of errors, but only 10% of successful traces." The `tail_sampling` processor works specifically with **traces**. diff --git a/src/content/docs/docs/opentelemetry/installing-the-opentelemetry-collector.mdx b/src/content/docs/docs/opentelemetry/installing-the-opentelemetry-collector.mdx index 0e06e1a7..b232ad1f 100644 --- a/src/content/docs/docs/opentelemetry/installing-the-opentelemetry-collector.mdx +++ b/src/content/docs/docs/opentelemetry/installing-the-opentelemetry-collector.mdx @@ -5,20 +5,20 @@ sidebar: label: "Install the Collector" order: 4 --- -The OpenTelemetry Collector is a vendor-neutral service that receives, processes, and exports telemetry data. It is often the easiest way to standardize telemetry flow before sending data to KloudMate. +The OpenTelemetry Collector is a vendor-neutral service that receives, processes, and exports telemetry data. It is a common way to standardize telemetry flow before sending data to KloudMate. :::tip[Recommendation] -For the easiest setup and best out-of-the-box experience, we strongly recommend using the **[KloudMate Agent](../../kloudmate-agent/)**. It is a pre-configured, optimized version of the OpenTelemetry Collector that seamlessly integrates with the KloudMate platform. You should only use the native OpenTelemetry Collector if you have specific infrastructure requirements that demand it. +For most teams, the **[KloudMate Agent](../../kloudmate-agent/)** is the better choice. It is a pre-configured OpenTelemetry Collector that connects to KloudMate for you. Install the native OpenTelemetry Collector instead when you have a specific infrastructure requirement that calls for it, as described below. ::: ## When to Use the Native Collector -While the KloudMate Agent is the preferred method, using the native OpenTelemetry Collector is a great alternative when you need to: +The KloudMate Agent is the default, but the native OpenTelemetry Collector fits when you need to: - Integrate with an existing OpenTelemetry infrastructure - Maintain a strict vendor-neutral observability pipeline - Route telemetry to multiple vendor destinations simultaneously -- Utilize experimental or community-contributed components from the `otelcol-contrib` project +- Use experimental or community-contributed components from the `otelcol-contrib` project ## Prerequisites diff --git a/src/content/docs/docs/opentelemetry/masking-sensitive-data.mdx b/src/content/docs/docs/opentelemetry/masking-sensitive-data.mdx index 6c251852..6f2f53f5 100644 --- a/src/content/docs/docs/opentelemetry/masking-sensitive-data.mdx +++ b/src/content/docs/docs/opentelemetry/masking-sensitive-data.mdx @@ -11,11 +11,11 @@ The OpenTelemetry Collector provides several processors, including the `attribut ## Deleting Sensitive Attributes -If specific attributes consistently contain sensitive data that you do not need, the easiest approach is to remove the attribute entirely using the `attributes` processor. +If specific attributes consistently contain sensitive data you do not need, remove the attribute entirely with the `attributes` processor. ### Example: Drop PII Attributes -This configuration will remove the `user.email` and `credit_card_number` attributes from any incoming spans or logs. +This configuration removes the `user.email` and `credit_card_number` attributes from any incoming spans or logs. ```yaml processors: @@ -40,7 +40,7 @@ service: ## Masking Values with the Transform Processor -If you need to keep an attribute but redact portions of its value (e.g., masking a password within a URL or a token within a log body), use the `transform` processor. This processor utilizes the OpenTelemetry Transformation Language (OTTL). +If you need to keep an attribute but redact portions of its value (e.g., masking a password within a URL or a token within a log body), use the `transform` processor. It uses the OpenTelemetry Transformation Language (OTTL). ### Example: Mask Passwords in HTTP URLs @@ -65,11 +65,11 @@ service: ## Dropping Unnecessary Logs or Spans -To completely discard entire spans, logs, or metrics based on their attributes, use the `filter` processor. This is highly effective for removing repetitive "noise" from your environment, such as load balancer health checks. +To discard entire spans, logs, or metrics based on their attributes, use the `filter` processor. It is useful for removing repetitive noise, such as load balancer health checks. ### Example: Drop Health Check Telemetry -This configuration evaluates incoming spans and logs. If a span is targeting the `/health` endpoint, or if a log body contains the exact text `"Healthcheck passed"`, the entire span or log record is dropped and will not be sent to KloudMate. +This configuration evaluates incoming spans and logs. If a span targets the `/health` endpoint, or a log body contains the exact text `"Healthcheck passed"`, the entire span or log record is dropped and not sent to KloudMate. ```yaml processors: diff --git a/src/content/docs/docs/opentelemetry/what-is-opentelemetry.mdx b/src/content/docs/docs/opentelemetry/what-is-opentelemetry.mdx index ec78e050..a89f1464 100644 --- a/src/content/docs/docs/opentelemetry/what-is-opentelemetry.mdx +++ b/src/content/docs/docs/opentelemetry/what-is-opentelemetry.mdx @@ -23,7 +23,7 @@ OpenTelemetry is widely adopted because it provides: - **Standardization:** It defines a consistent structure for observability data. - **Interoperability:** It allows telemetry to move between instrumentation libraries, collectors, and observability backends. - **Better troubleshooting:** Traces, metrics, and logs can be correlated more effectively when they follow a common model. -- **Reduced vendor lock-in:** You instrument once and keep flexibility in where you send the data. +- **Reduced vendor lock-in:** You instrument once and keep control over where you send the data. ## Related Resources From 6abe7d41810db1fdcb2e0fe687fcaaf963b1be74 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Fri, 17 Jul 2026 09:06:20 +0530 Subject: [PATCH 16/39] doc language and tone sweep --- src/content/docs/docs/aws-integration/index.mdx | 2 +- .../auto-integration-with-azure-monitor.mdx | 4 ++-- .../azure-application-gateway-log-monitoring.mdx | 2 +- .../enable-service-principal-azure.mdx | 4 ++-- .../manual-integration-of-azure-monitor.mdx | 2 +- src/content/docs/docs/infrastructure/hosts.mdx | 10 +++++----- .../infrastructure/server-metrics-to-kloudmate.mdx | 2 +- src/content/docs/docs/kloudmate-assistant/index.mdx | 2 +- ...orrelate-rum-traces-with-opentelemetry-backends.mdx | 4 ++-- src/content/docs/docs/rum/index.mdx | 4 ++-- src/content/docs/docs/rum/rum-interface.mdx | 4 ++-- 11 files changed, 20 insertions(+), 20 deletions(-) diff --git a/src/content/docs/docs/aws-integration/index.mdx b/src/content/docs/docs/aws-integration/index.mdx index 2ec721e3..ab0696b7 100644 --- a/src/content/docs/docs/aws-integration/index.mdx +++ b/src/content/docs/docs/aws-integration/index.mdx @@ -1,6 +1,6 @@ --- title: "AWS Integration" -description: "Connect AWS accounts to KloudMate and automatically ingest telemetry using our native integrations." +description: "Connect an AWS account to KloudMate and automatically ingest metrics, logs, and traces from your AWS services." sidebar: label: "Overview" order: 1 diff --git a/src/content/docs/docs/azure-integration/auto-integration-with-azure-monitor.mdx b/src/content/docs/docs/azure-integration/auto-integration-with-azure-monitor.mdx index ffde8467..e7b6f902 100644 --- a/src/content/docs/docs/azure-integration/auto-integration-with-azure-monitor.mdx +++ b/src/content/docs/docs/azure-integration/auto-integration-with-azure-monitor.mdx @@ -1,10 +1,10 @@ --- title: "Auto-Integration with Azure Monitor" -description: "Documentation for Auto-Integration with Azure Monitor (Azure CLI Access required)" +description: "Integrate Azure Monitor with KloudMate automatically using an Azure CLI script." sidebar: order: 1 --- -This document provides an automated approach to integrating Azure Monitor with KloudMate using the OpenTelemetry Receiver. The Azure Monitor OpenTelemetry Receiver allows you to scrape telemetry data from Azure Monitor resources and send them to KloudMate for centralized monitoring and analysis. +Integrate Azure Monitor with KloudMate automatically using the OpenTelemetry Azure Monitor receiver. The receiver scrapes telemetry from Azure Monitor resources and sends it to KloudMate for centralized monitoring and analysis. ## Prerequisites diff --git a/src/content/docs/docs/azure-integration/azure-application-gateway-log-monitoring.mdx b/src/content/docs/docs/azure-integration/azure-application-gateway-log-monitoring.mdx index 52f4e2b8..9238b699 100644 --- a/src/content/docs/docs/azure-integration/azure-application-gateway-log-monitoring.mdx +++ b/src/content/docs/docs/azure-integration/azure-application-gateway-log-monitoring.mdx @@ -1,6 +1,6 @@ --- title: "Azure Application Gateway Log Monitoring using Event Hub" -description: "Documentation for Azure Application Gateway Log Monitoring using Event Hub" +description: "Stream Azure Application Gateway logs to KloudMate through Azure Event Hub." sidebar: order: 2 --- diff --git a/src/content/docs/docs/azure-integration/enable-service-principal-azure.mdx b/src/content/docs/docs/azure-integration/enable-service-principal-azure.mdx index b952c8cc..ed7214ba 100644 --- a/src/content/docs/docs/azure-integration/enable-service-principal-azure.mdx +++ b/src/content/docs/docs/azure-integration/enable-service-principal-azure.mdx @@ -1,10 +1,10 @@ --- title: "Enable Service Principal Azure" -description: "Documentation for Enable Service Principal Azure" +description: "Create an Azure AD service principal so KloudMate can authenticate to Azure Monitor." sidebar: order: 5 --- -This document demonstrates how to enable service principals on Azure to integrate Azure monitor with KloudMate +Create a service principal on Azure so KloudMate can authenticate to Azure Monitor. Set it up once, then use it in the auto or manual integration. 1\. Navigate to Microsoft Entra ID and register a new app. diff --git a/src/content/docs/docs/azure-integration/manual-integration-of-azure-monitor.mdx b/src/content/docs/docs/azure-integration/manual-integration-of-azure-monitor.mdx index c6e18035..dd760952 100644 --- a/src/content/docs/docs/azure-integration/manual-integration-of-azure-monitor.mdx +++ b/src/content/docs/docs/azure-integration/manual-integration-of-azure-monitor.mdx @@ -1,6 +1,6 @@ --- title: "Manual Integration of Azure Monitor" -description: "Documentation for Manual Integration of Azure Monitor" +description: "Manually configure a KloudMate Agent to scrape Azure Monitor metrics." sidebar: order: 3 --- diff --git a/src/content/docs/docs/infrastructure/hosts.mdx b/src/content/docs/docs/infrastructure/hosts.mdx index 52c18666..34484fb5 100644 --- a/src/content/docs/docs/infrastructure/hosts.mdx +++ b/src/content/docs/docs/infrastructure/hosts.mdx @@ -8,7 +8,7 @@ sidebar: The **Hosts** module provides a centralized view for monitoring the health, performance, and resource utilization of your infrastructure. This view automatically populates with data once the KloudMate Agent is installed on your Linux or Windows servers. -From this view, you can seamlessly navigate from a fleet-wide overview down to the metrics and logs of an individual host or its associated containers. +From this view, you can navigate from a fleet-wide overview down to the metrics and logs of an individual host or its associated containers. ## Overview @@ -61,14 +61,14 @@ Provides immediate access to the logs generated by the selected resource. - You can search, filter, and analyze logs specific to that host or container directly within the drawer. ### Containers Tab (Hosts Only) -When inspecting a Host, this tab lists all the active containers running on that specific machine, displaying their individual CPU, Memory, Image, and Runtime metrics. Clicking a container in this list will update the drawer to show the details for that specific container. +When inspecting a Host, this tab lists all the active containers running on that specific machine, displaying their individual CPU, Memory, Image, and Runtime metrics. Clicking a container in this list updates the drawer to show the details for that container. ## Getting Started -Host metrics are collected **automatically** with zero configuration required once you deploy the agent. +Host metrics are collected **automatically**, with no configuration, once you deploy the agent. 1. Install the [KloudMate Agent](../../kloudmate-agent/) on your servers. -2. The agent will begin forwarding core metrics (CPU, Memory, Filesystem, Uptime) and system logs to KloudMate. -3. Your servers will automatically appear in the Hosts view within a few minutes. +2. The agent forwards core metrics (CPU, Memory, Filesystem, Uptime) and system logs to KloudMate. +3. Your servers appear in the Hosts view within a few minutes. For instructions on adding custom cloud metadata (like AWS EC2 or Azure tags) or capturing advanced process-level metrics, see the [Advanced Host Metrics Collection](../server-metrics-to-kloudmate/) guide. diff --git a/src/content/docs/docs/infrastructure/server-metrics-to-kloudmate.mdx b/src/content/docs/docs/infrastructure/server-metrics-to-kloudmate.mdx index 6d909eab..4d6c3359 100644 --- a/src/content/docs/docs/infrastructure/server-metrics-to-kloudmate.mdx +++ b/src/content/docs/docs/infrastructure/server-metrics-to-kloudmate.mdx @@ -5,7 +5,7 @@ sidebar: label: "Advanced Host Configuration" order: 4 --- -The KloudMate Agent automatically collects essential host metrics (CPU, Memory, Filesystem, Uptime) from Linux and Windows systems out-of-the-box using the OpenTelemetry `hostmetrics` receiver. You can view these metrics immediately in the [Hosts View](../hosts/). +The KloudMate Agent automatically collects essential host metrics (CPU, Memory, Filesystem, Uptime) from Linux and Windows systems using the OpenTelemetry `hostmetrics` receiver. You can view these metrics immediately in the [Hosts View](../hosts/). If you need to collect extended metrics (like detailed process-level data, disk I/O, or network metrics) or attach cloud provider tags, you can modify the agent's configuration following this guide. diff --git a/src/content/docs/docs/kloudmate-assistant/index.mdx b/src/content/docs/docs/kloudmate-assistant/index.mdx index 9b0b8e97..b43b0786 100644 --- a/src/content/docs/docs/kloudmate-assistant/index.mdx +++ b/src/content/docs/docs/kloudmate-assistant/index.mdx @@ -7,7 +7,7 @@ sidebar: --- KloudMate Assistant is an AI-driven observability assistant designed to simplify how you monitor, analyze, and operate your systems. Instead of navigating multiple dashboards or writing complex queries, you can interact using natural language — for example, "show CPU usage," "analyze recent errors," or "create a dashboard for my Kubernetes cluster." -The assistant works across your entire observability stack, including metrics, logs, traces, profiles, and connected data sources. It interprets context, correlates signals, and surfaces actionable insights, reducing the need to manually switch between tools or deeply understand each underlying system. +The assistant works across your entire observability stack, including metrics, logs, traces, profiles, and connected data sources. It interprets context, correlates signals, and points to likely causes, reducing the need to switch between tools or know every underlying system in depth. ### What KloudMate Assistant Can Do diff --git a/src/content/docs/docs/rum/correlate-rum-traces-with-opentelemetry-backends.mdx b/src/content/docs/docs/rum/correlate-rum-traces-with-opentelemetry-backends.mdx index 88242cb7..9eec0963 100644 --- a/src/content/docs/docs/rum/correlate-rum-traces-with-opentelemetry-backends.mdx +++ b/src/content/docs/docs/rum/correlate-rum-traces-with-opentelemetry-backends.mdx @@ -1,9 +1,9 @@ --- title: "Correlate RUM traces with OpenTelemetry backends" -description: "Documentation for Correlate RUM traces with OpenTelemetry backends" +description: "Connect RUM sessions from your web apps to their backend traces for a unified frontend-to-backend view." --- -KloudMate's RUM lets you connect requests from your web apps to their related backend traces. This integration provides a unified view of both your frontend and backend data and helps to Identify issues throughout your stack and gain insight into your users' experiences. +KloudMate's RUM lets you connect requests from your web apps to their related backend traces. This integration provides a unified view of your frontend and backend data, so you can identify issues throughout your stack and understand your users' experience. :::note The RUM SDK by default adds [context propagation headers (W3C)](https://opentelemetry.io/docs/concepts/context-propagation/#propagation) to fetch and XHR requests made to the same origin. diff --git a/src/content/docs/docs/rum/index.mdx b/src/content/docs/docs/rum/index.mdx index d536d426..bd8f7e77 100644 --- a/src/content/docs/docs/rum/index.mdx +++ b/src/content/docs/docs/rum/index.mdx @@ -1,6 +1,6 @@ --- title: "Real User Monitoring (RUM)" -description: "Documentation for Real User Monitoring (RUM)" +description: "Understand what Real User Monitoring is and how KloudMate collects and analyzes browser performance data." sidebar: label: "Overview" order: 1 @@ -11,7 +11,7 @@ This data provides insights into how users directly experience the system. Using ## Real User Monitoring With KloudMate -RUM must be integrated with an APM backend such as KloudMate for the RUM data to be utilized effectively. This integration is essential as the APM backend, KloudMate in this case, provides the necessary infrastructure and tools to aggregate, process, and analyze the RUM data. +RUM must be integrated with an APM backend such as KloudMate for the RUM data to be used effectively. This integration is essential as the APM backend, KloudMate in this case, provides the necessary infrastructure and tools to aggregate, process, and analyze the RUM data. ![image](./images/what-is-real-user-monitoring-_rum__-1.png) diff --git a/src/content/docs/docs/rum/rum-interface.mdx b/src/content/docs/docs/rum/rum-interface.mdx index b241e445..b0dfaba6 100644 --- a/src/content/docs/docs/rum/rum-interface.mdx +++ b/src/content/docs/docs/rum/rum-interface.mdx @@ -1,9 +1,9 @@ --- title: "RUM Interface" -description: "Documentation for RUM Interface" +description: "Explore, analyze, and visualize your Real User Monitoring data in KloudMate." --- -The RUM Interface within KloudMate provides a dedicated workspace to process, analyze, and visualize collected Real User Monitoring data. Access comprehensive statistics, interactive graphs, and detailed insights into user interactions with your application or website. +The RUM Interface is where you process, analyze, and visualize your Real User Monitoring data. It shows statistics, interactive graphs, and detail on how users interact with your application or website. To integrate Real User Monitoring, visit [Instrumentation Guide](../instrumentation-guide/). From 16657114b14203fb317142bd009581b71f0c9841 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Fri, 17 Jul 2026 09:11:38 +0530 Subject: [PATCH 17/39] doc language and tone sweep --- .../auto-instrumentation/ebpf.mdx | 80 +++++++++---------- .../auto-instrumentation/index.mdx | 4 +- src/content/docs/docs/synthetic/index.mdx | 6 +- .../docs/synthetic/maintenance-windows.mdx | 2 +- .../docs/synthetic/monitors/dns-monitor.mdx | 2 +- .../docs/synthetic/monitors/grpc-monitor.mdx | 2 +- .../docs/synthetic/monitors/http-monitor.mdx | 4 +- .../docs/synthetic/monitors/icmp-monitor.mdx | 2 +- .../docs/docs/synthetic/monitors/index.mdx | 4 +- .../docs/synthetic/monitors/push-monitor.mdx | 2 +- .../docs/synthetic/monitors/ssl-monitor.mdx | 2 +- .../docs/synthetic/monitors/tcp-monitor.mdx | 2 +- .../docs/synthetic/monitors/udp-monitor.mdx | 2 +- .../synthetic/monitors/websocket-monitor.mdx | 2 +- .../docs/synthetic/synthetic-incidents.mdx | 4 +- 15 files changed, 57 insertions(+), 63 deletions(-) diff --git a/src/content/docs/docs/apm-and-tracing/auto-instrumentation/ebpf.mdx b/src/content/docs/docs/apm-and-tracing/auto-instrumentation/ebpf.mdx index cb561ac1..b7345c69 100644 --- a/src/content/docs/docs/apm-and-tracing/auto-instrumentation/ebpf.mdx +++ b/src/content/docs/docs/apm-and-tracing/auto-instrumentation/ebpf.mdx @@ -1,66 +1,60 @@ --- title: "Zero-Downtime Observability (eBPF)" -description: "Observe your infrastructure seamlessly with the KloudMate eBPF Agent—no code changes or application restarts required." +description: "Get APM metrics, traces, and a service map from the Linux kernel with eBPF, with no code changes and no application restarts." sidebar: label: "eBPF (Zero-Downtime)" --- -Mission-critical environments managed by forward-thinking SRE teams and SOCs face a fundamental paradox: you need deep observability to maintain stability, but deploying traditional observability agents often requires application restarts or code changes that compromise that stability. +Traditional APM agents usually need a code change or an application restart before they collect anything. KloudMate's eBPF approach avoids both: it runs in the Linux kernel and observes the system's behavior without altering your user-level applications. -KloudMate's eBPF (Extended Berkeley Packet Filter) approach solves this paradox. It provides a drop-in APM component that lives in the Linux kernel—observing the behavior of the entire system dynamically without altering user-level applications. +Enable the eBPF receiver on the KloudMate Agent and you get metrics, traces, and a service map for your infrastructure with no code changes, no per-service configuration, and no restarts. -By deploying the KloudMate Agent with the eBPF receiver enabled, you unlock instant, out-of-the-box observability for your entire infrastructure—**without requiring code changes, manual configurations, or application restarts.** +## What you get -## Out-of-the-Box Value +The eBPF receiver reads activity from the kernel and turns it into telemetry. As soon as it's running: -The eBPF receiver extracts vast amounts of actionable metrics securely from the kernel layer. From day one, your teams receive: +### Universal RED metrics +Request Rate, Error Rate, and Duration (latency) for every observed service. +- **Protocol-aware:** HTTP, HTTP/2, gRPC, MySQL, PostgreSQL, Redis, MongoDB, Kafka, and Elasticsearch. +- **Operational context:** each metric carries markers such as HTTP status codes, gRPC status flags, and database operation type. -### 1. Universal RED Metrics -Automatically generates and exports comprehensive Request Rate, Error Rate, and Duration (Latency) metrics across all observed services. -- **Protocol Agnostic:** Automatically supports HTTP/HTTP2, gRPC, MySQL, PostgreSQL, Redis, MongoDB, Kafka, and Elasticsearch. -- **Operational Context:** Every metric includes critical operational markers such as exact HTTP status codes, gRPC status flags, and Database query behaviors. +### Distributed tracing +- Links an incoming request to the outbound calls it makes, for example an HTTP handler querying a database. +- Produces OpenTelemetry-compliant spans, which build the service map. -### 2. Auto-Distributed Tracing -- Intelligently links incoming network requests to outgoing dependency calls instantaneously (e.g., an HTTP handler querying a database instance). -- Generates strictly compliant OpenTelemetry trace spans, producing a seamless Service Map representing your living architecture. +### Service inventory and metadata +- Detects each process's language (`km.apm.runtime.language`) without touching the binary. +- Adds host IDs, process IDs, and cloud-provider metadata to traces. +- On Kubernetes, correlates telemetry with `namespace`, `pod_name`, `deployment`, and `node_name`. -### 3. Dynamic Service Inventory & Metadata -- Automatically identifies the process language (`km.apm.runtime.language`) of your running applications without touching the binary. -- Enriches traces with dense Host IDs, Process IDs, and Cloud Provider metadata tags. -- If running under Kubernetes, it correlates metrics securely with K8s attributes (`namespace`, `pod_name`, `deployment`, `node_name`) dynamically. +### Network observability +- Captures L3/L4 flow metrics: bytes transferred, TCP retransmits, connection-state changes, and packet drops. +- Gives visibility into service-to-service communication for dependency mapping and security review. -### 4. Granular Network Observability -- Captures L3/L4 network flow metrics transparently—including full bytes transferred, TCP retransmits, state alterations, and packet drops. -- Empowers security teams with definitive visibility into service-to-service communication dependencies and anomalous traffic mapping. +## eBPF compared with SDK instrumentation -## The eBPF Edge vs. Traditional SDK Telemetry +eBPF and language SDKs solve different problems. eBPF gives broad, no-touch coverage at network boundaries; SDKs give deep, in-process detail. They work well together. -While traditional OpenTelemetry heavily relies on language-specific SDKs (manual instrumentation) or runtime dependencies (auto-instrumentation/zero-code), the KloudMate eBPF approach is superior for foundational infrastructure visibility. - -| Feature | KloudMate eBPF Receiver | SDK / Auto-Instrumentation | +| Feature | KloudMate eBPF receiver | SDK / auto-instrumentation | | :--- | :--- | :--- | -| **Code Changes** | **None.** Deploy the agent to the Linux node. | Requires SDK dependencies or attaching agents via env vars. | -| **Application Restarts** | **No restarts required.** Immediate visibility. | Requires rolling restarts to inject instrumentation agents. | -| **Setup Complexity** | **Low.** Single DaemonSet or VM process per host. | **High.** Per-service configuration, library updates. | -| **Language Support** | **Universal.** Go, Rust, C++, Python, Java, Node.js, Ruby. | Requires per-language SDKs; compiled languages are difficult. | -| **Performance Overhead**| **Extremely low.** Runs securely in kernel space. | Higher, especially with rich library-level auto-instrumentation. | -| **Missing Services** | Impossible — the kernel sees every network packet. | Un-instrumented services remain blind spots. | - -### Limitations of eBPF - -While eBPF provides unparalleled breadth, it is important to understand its limitations compared to manual SDK instrumentation: -- **Business Logic Context:** eBPF cannot inherently understand custom business logic (e.g., `user_id`, `cart_value`, or specific function execution paths within your application code). -- **In-Process Tracing:** eBPF excels at network boundaries and system calls. It does not provide deep stack traces or internal function execution timing like an SDK would. +| **Code changes** | None. Deploy the agent to the Linux node. | SDK dependencies, or agents attached via env vars. | +| **Application restarts** | None. | Rolling restarts to inject the instrumentation. | +| **Setup** | One DaemonSet or VM process per host. | Per-service configuration and library updates. | +| **Language support** | Any language, including Go, Rust, and C++. | Per-language SDKs; compiled languages are harder. | +| **Overhead** | Low; runs in kernel space. | Higher, especially with rich library instrumentation. | +| **Coverage** | Every service the kernel sees on the network. | Un-instrumented services are blind spots. | -## Recommended Strategic Deployment +### What eBPF cannot do -1. **Start with eBPF:** The eBPF Receiver serves as the ultimate foundational layer. Deploy the KloudMate Agent to grab immediate Service Maps, rigorous network insights, and universal APM metrics across every language and stack. -2. **Enrich Where Necessary:** Once eBPF has illuminated your architecture, strategically deploy [Manual Instrumentation](../../manual-instrumentation/) SDKs into the specific handful of applications requiring bespoke business logic mapping (such as tracing a specific User ID or capturing unique transaction states). +eBPF works at network boundaries and system calls, so it does not see inside your application: +- **Business logic:** it cannot read custom values like `user_id` or `cart_value`, or trace specific function paths. +- **In-process detail:** it does not produce deep stack traces or internal function timing the way an SDK does. -The KloudMate platform seamlessly merges eBPF kernel intelligence with your application telemetry data, giving your SRE teams a unified view of reality. +## Recommended approach -## Configuration & Setup +1. **Start with eBPF.** Deploy the KloudMate Agent to get a service map, network metrics, and RED metrics across every language with no per-service work. +2. **Add SDKs where you need depth.** For the services where you need business-logic context, such as a specific user ID or transaction state, add [Manual Instrumentation](../../manual-instrumentation/). The eBPF and SDK data join into one view. -To install the agent and enable eBPF observability features, please refer to the main configuration guide. +## Configuration and setup -[**View eBPF Agent Installation & Configuration Docs →**](../../../kloudmate-agent/ebpf-observability/) +To install the agent and enable eBPF, see the [eBPF observability guide](../../../kloudmate-agent/ebpf-observability/). diff --git a/src/content/docs/docs/apm-and-tracing/auto-instrumentation/index.mdx b/src/content/docs/docs/apm-and-tracing/auto-instrumentation/index.mdx index 95078b7a..ed9ed728 100644 --- a/src/content/docs/docs/apm-and-tracing/auto-instrumentation/index.mdx +++ b/src/content/docs/docs/apm-and-tracing/auto-instrumentation/index.mdx @@ -18,13 +18,13 @@ If your applications run on Linux (VMs, bare metal, or Kubernetes), the preferre ## Kubernetes Workloads -If your applications run on Kubernetes, you can leverage the KloudMate Agent to easily deploy APM and patching. +If your applications run on Kubernetes, you can use the KloudMate Agent to deploy APM. - [Kubernetes APM with KloudMate Agent](./kubernetes-apm/) ## OpenTelemetry Auto-Instrumentation -For richer framework-specific attributes or environments where eBPF is not an option, KloudMate natively leverages standard OpenTelemetry auto-instrumentation agents. This approach requires attaching an agent to your runtime and **restarting your application**. +For richer framework-specific attributes, or environments where eBPF is not an option, KloudMate uses standard OpenTelemetry auto-instrumentation agents. This approach requires attaching an agent to your runtime and **restarting your application**. Select your language to get started: diff --git a/src/content/docs/docs/synthetic/index.mdx b/src/content/docs/docs/synthetic/index.mdx index ba5133d1..19c4c08c 100644 --- a/src/content/docs/docs/synthetic/index.mdx +++ b/src/content/docs/docs/synthetic/index.mdx @@ -1,18 +1,18 @@ --- title: "Synthetic Monitoring" -description: "Documentation for Synthetic Monitoring" +description: "Run scheduled checks against your endpoints from multiple regions to catch outages early." sidebar: label: "Overview" order: 1 --- -Synthetic Monitoring can proactively test endpoints and services from multiple regions, to detect issues before they impact users. It supports various monitor types including **HTTP** , **SSL** , **DNS** , **TCP** , **UDP** , **gRPC** , **WebSocket** , **ICMP** , an **Push** ping tests. +Synthetic Monitoring can proactively test endpoints and services from multiple regions, to detect issues before they impact users. It supports many monitor types, including **HTTP**, **SSL**, **DNS**, **TCP**, **UDP**, **gRPC**, **WebSocket**, **ICMP**, and **Push** ping tests. ## Key Features - **Multi-region Testing** - Execute checks from diverse geographic regions and locations, for comprehensive coverage. + Execute checks from many geographic regions and locations, for broad coverage. - **Multiple Monitor Types** Monitor web endpoints, APIs, certificates, DNS records, network ports, and service health. - **Real-time Alerts** Instant notifications through configurable channels when issues are detected. - **Detailed Analytics** Track success rates, response times, incidents, and historical performance. diff --git a/src/content/docs/docs/synthetic/maintenance-windows.mdx b/src/content/docs/docs/synthetic/maintenance-windows.mdx index d93a15d1..efa76a62 100644 --- a/src/content/docs/docs/synthetic/maintenance-windows.mdx +++ b/src/content/docs/docs/synthetic/maintenance-windows.mdx @@ -1,6 +1,6 @@ --- title: "Maintenance Windows" -description: "Documentation for Maintenance Windows" +description: "Suppress synthetic alerts during planned maintenance with recurring or one-time windows." --- A maintenance window is a scheduled period of time during which monitors continue to run normally, but their incidents are handled differently to avoid unnecessary noise. diff --git a/src/content/docs/docs/synthetic/monitors/dns-monitor.mdx b/src/content/docs/docs/synthetic/monitors/dns-monitor.mdx index 388bd86a..766f5e81 100644 --- a/src/content/docs/docs/synthetic/monitors/dns-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/dns-monitor.mdx @@ -1,7 +1,7 @@ --- title: "DNS Monitor" -description: "Documentation for DNS Monitor - Verify DNS Resolution and Records" +description: "Verify DNS resolution and records with a synthetic monitor." sidebar: label: "DNS Monitor" --- diff --git a/src/content/docs/docs/synthetic/monitors/grpc-monitor.mdx b/src/content/docs/docs/synthetic/monitors/grpc-monitor.mdx index 57d93f86..cbd03a76 100644 --- a/src/content/docs/docs/synthetic/monitors/grpc-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/grpc-monitor.mdx @@ -1,7 +1,7 @@ --- title: "gRPC Monitor" -description: "Documentation for gRPC Monitor - Check gRPC Service Health" +description: "Check gRPC service health with a synthetic monitor." sidebar: label: "gRPC Monitor" --- diff --git a/src/content/docs/docs/synthetic/monitors/http-monitor.mdx b/src/content/docs/docs/synthetic/monitors/http-monitor.mdx index 82008854..4573cb18 100644 --- a/src/content/docs/docs/synthetic/monitors/http-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/http-monitor.mdx @@ -1,7 +1,7 @@ --- title: "HTTP Monitor" -description: "Documentation for HTTP Monitor - Monitor Web Endpoints and APIs" +description: "Monitor web endpoints and APIs with a synthetic HTTP monitor." sidebar: label: "HTTP Monitor" --- @@ -49,7 +49,7 @@ Request Configuration ## **Assertions** -Assertions define the conditions the monitor validates against the HTTP responses. Multiple assertions can be configured to ensure comprehensive monitoring: +Assertions define the conditions the monitor validates against the HTTP responses. You can configure multiple assertions to cover more conditions: - **Status Code** Verifies the HTTP response status code matches the expected value (e.g., 200, 404). diff --git a/src/content/docs/docs/synthetic/monitors/icmp-monitor.mdx b/src/content/docs/docs/synthetic/monitors/icmp-monitor.mdx index 73e8047e..8a87628a 100644 --- a/src/content/docs/docs/synthetic/monitors/icmp-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/icmp-monitor.mdx @@ -1,7 +1,7 @@ --- title: "ICMP Monitor" -description: "Documentation for ICMP Monitor - Ping Test for Basic Connectivity" +description: "Run a ping (ICMP) connectivity check with a synthetic monitor." sidebar: label: "ICMP Monitor" --- diff --git a/src/content/docs/docs/synthetic/monitors/index.mdx b/src/content/docs/docs/synthetic/monitors/index.mdx index 830f0a77..c64032bb 100644 --- a/src/content/docs/docs/synthetic/monitors/index.mdx +++ b/src/content/docs/docs/synthetic/monitors/index.mdx @@ -1,6 +1,6 @@ --- title: "Monitors" -description: "Documentation for Monitors" +description: "The synthetic monitor types KloudMate supports and how to create them." sidebar: label: "Introduction" --- @@ -19,7 +19,7 @@ The Monitors page displays all monitors created within the current workspace, pr ### Monitor Details Page -Clicking any monitor from the list, navigates to its dedicated details page, offering comprehensive performance and history information. +Clicking any monitor in the list opens its details page, with full performance and history information. ![image](./images/monitors-2.png) diff --git a/src/content/docs/docs/synthetic/monitors/push-monitor.mdx b/src/content/docs/docs/synthetic/monitors/push-monitor.mdx index 1a8f87ef..9fb136d0 100644 --- a/src/content/docs/docs/synthetic/monitors/push-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/push-monitor.mdx @@ -1,7 +1,7 @@ --- title: "Push Monitor" -description: "Documentation for Push Monitor - Callback URL to Confirm Availability" +description: "Confirm a job or service is alive with a callback (push) monitor." sidebar: label: "Push Monitor" --- diff --git a/src/content/docs/docs/synthetic/monitors/ssl-monitor.mdx b/src/content/docs/docs/synthetic/monitors/ssl-monitor.mdx index 874c4770..c74f9f4a 100644 --- a/src/content/docs/docs/synthetic/monitors/ssl-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/ssl-monitor.mdx @@ -1,7 +1,7 @@ --- title: "SSL Certificate Validity Monitor" -description: "Documentation for SSL Certificate Validity Monitor - Check SSL Certificate Expiration and Validity" +description: "Check SSL certificate expiration and validity with a synthetic monitor." sidebar: label: "SSL Monitor" --- diff --git a/src/content/docs/docs/synthetic/monitors/tcp-monitor.mdx b/src/content/docs/docs/synthetic/monitors/tcp-monitor.mdx index 497d83ae..6d7d9832 100644 --- a/src/content/docs/docs/synthetic/monitors/tcp-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/tcp-monitor.mdx @@ -1,7 +1,7 @@ --- title: "TCP Monitor" -description: "Documentation for TCP Monitor - Test TCP Port Connectivity" +description: "Test TCP port connectivity with a synthetic monitor." sidebar: label: "TCP Monitor" --- diff --git a/src/content/docs/docs/synthetic/monitors/udp-monitor.mdx b/src/content/docs/docs/synthetic/monitors/udp-monitor.mdx index 95ed7923..62a34cce 100644 --- a/src/content/docs/docs/synthetic/monitors/udp-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/udp-monitor.mdx @@ -1,7 +1,7 @@ --- title: "UDP Monitor" -description: "Documentation for UDP Monitor - Monitor UDP Port Availability" +description: "Check UDP port availability with a synthetic monitor." sidebar: label: "UDP Monitor" --- diff --git a/src/content/docs/docs/synthetic/monitors/websocket-monitor.mdx b/src/content/docs/docs/synthetic/monitors/websocket-monitor.mdx index eaff22e2..53b3ce85 100644 --- a/src/content/docs/docs/synthetic/monitors/websocket-monitor.mdx +++ b/src/content/docs/docs/synthetic/monitors/websocket-monitor.mdx @@ -1,7 +1,7 @@ --- title: "WebSocket Monitor" -description: "Documentation for WebSocket Monitor - Monitor WebSocket Connections" +description: "Monitor WebSocket connection health with a synthetic monitor." sidebar: label: "WebSocket Monitor" --- diff --git a/src/content/docs/docs/synthetic/synthetic-incidents.mdx b/src/content/docs/docs/synthetic/synthetic-incidents.mdx index 990a2ed9..078c12d1 100644 --- a/src/content/docs/docs/synthetic/synthetic-incidents.mdx +++ b/src/content/docs/docs/synthetic/synthetic-incidents.mdx @@ -1,12 +1,12 @@ --- title: "Synthetic Incidents" -description: "Documentation for Synthetic Incidents" +description: "Review incidents opened when synthetic monitors fail." --- The 'Incidents' page consolidates all incidents from monitors created within the Synthetic monitoring module, providing centralized visibility into downtime events, across all monitors. **The Incidents Overview Table** -The page displays a comprehensive table summarizing all incidents for quick analysis: +The page displays a table summarizing all incidents for quick analysis: - **Monitor** Identifies the specific monitor where the incident originated. From 8b3f0aef15a18c949b7815ca7ee980386eb620e0 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Fri, 17 Jul 2026 14:55:25 +0530 Subject: [PATCH 18/39] docker doc update --- .../kloudmate-agent/platform-notes/docker.mdx | 37 +++++++++++++++---- 1 file changed, 30 insertions(+), 7 deletions(-) diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx index 94631716..eadcc1bf 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -22,12 +22,38 @@ eBPF monitoring traces every container the same way, so RED metrics, the service | Runtime | Span-level tracing in Docker | What you do | |---|---|---| -| PHP 7 and 8 | Injected directly. The agent installs the tracer inside the running container and reloads the process manager, with no redeploy. | Turn on [PHP container instrumentation](../../auto-instrumentation/php/). | +| PHP 7 and 8 | Injected directly. The agent installs the tracer inside the running container and reloads the web server, with no redeploy. | Nothing, it is automatic. See [PHP container instrumentation](#instrument-php-containers). | | Java, Node.js, Python, .NET | eBPF monitoring only. The agent does not inject a language agent into a running container: these runtimes read their instrumentation from the process startup environment, which cannot change without recreating the container, and the agent does not recreate your containers. | [Add OpenTelemetry to the application](#send-full-opentelemetry-traces-from-your-containers) and point it at the agent, or run the service on a [Linux host](../../installation/linux-agent/) or [Amazon ECS](../../installation/ecs-agent/), where the agent instruments it for you. | | Go | eBPF monitoring only. Go compiles to a static binary with no runtime to attach to. | Nothing. See [Go and eBPF](../../auto-instrumentation/go-ebpf/). | Whichever runtime you run, eBPF monitoring keeps covering the container, so you have RED metrics and a place on the service map before you add span-level tracing. +## Instrument PHP containers + +In Docker mode, the agent instruments your PHP containers automatically and reloads the web server. + +**Narrow or turn it off** with environment variables on the agent: + +```bash +# Limit instrumentation to specific containers (default: every PHP container) +KM_CONTAINER_INSTRUMENT_NAMES=app1,app2 +KM_CONTAINER_INSTRUMENT_IMAGES=wordpress,my-php-app + +# Turn PHP container instrumentation off entirely +KM_CONTAINER_INSTRUMENT_ENABLED=false +``` + +### What is supported + +- **Web servers:** Apache with mod_php, and PHP-FPM. The agent reloads them in place, so tracing starts without a restart. WordPress and the official `php:8.x-apache` images work this way. +- **PHP versions:** 7.0 through 8.x. The tracer is matched to the container's exact PHP build automatically. + +The agent cannot instrument a container that serves requests from the **PHP built-in server** (`php -S`), because that server does not reload configuration without a full restart. The official Adminer image is one example. Alpine (musl) images are also a rough edge, since the bundled tracer assets target glibc. + +### These containers are configured by environment, not the UI + +PHP container instrumentation is driven by the environment variables above, so instrumented containers do **not** appear in the agent's **Discovered Services** or APM settings screen. That list covers processes on a host and workloads on Kubernetes, not containers on a Docker host. + ## Send full OpenTelemetry traces from your containers For Java, Node.js, Python, and .NET, full traces come from OpenTelemetry running inside the application. You add it once, at build or deploy time, and point it at the agent, which already listens for OpenTelemetry (OTLP) data: @@ -40,7 +66,7 @@ For Java, Node.js, Python, and .NET, full traces come from OpenTelemetry running **2. Point it at the agent.** Set these environment variables on the application container: ```bash -OTEL_EXPORTER_OTLP_ENDPOINT=http://AGENT_HOST:4317 +OTEL_EXPORTER_OTLP_ENDPOINT=http://AGENT_HOST:4318 OTEL_SERVICE_NAME=your-service-name ``` @@ -58,12 +84,9 @@ The agent produces this same result automatically on a [Linux host](../../instal ## Deployment posture -To instrument PHP containers and run eBPF monitoring, the agent needs host access: - -- Run the agent **on the host** with Docker socket and daemon access, or -- Run it as a **privileged container with host mounts**. +PHP container instrumentation reaches the containers through the Docker socket, so it works from a host-process agent or from the containerized collector, as long as the socket is mounted. -eBPF monitoring likewise needs host kernel access. A plain, non-privileged agent container cannot reach the host runtime. +eBPF monitoring is different: it needs host kernel access, so a plain, non-privileged agent container cannot produce the eBPF signals. Run the agent on the host, or as a privileged container with host mounts. ## PHP 7 in containers From 817f74362fb562a5fcd3e2e8c04f13bd178fab2a Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Sun, 19 Jul 2026 18:08:47 +0530 Subject: [PATCH 19/39] network monitoring doc --- AGENTS.md | 15 +- CLAUDE.md | 2 +- .../network-monitoring/_meta.json | 2 +- .../network-monitoring/discover-devices.mdx | 48 +++++ .../network-monitoring/flow-monitoring.mdx | 50 +++++ .../images/add-reachability-check.png | Bin 0 -> 162980 bytes .../network-monitoring/images/all-devices.png | Bin 0 -> 288510 bytes .../images/configure-integrations.png | Bin 0 -> 108341 bytes .../images/device-drawer-interfaces.png | Bin 0 -> 298846 bytes .../images/device-drawer-overview.png | Bin 0 -> 219507 bytes .../images/discover-add-scan.png | Bin 0 -> 152527 bytes .../images/discovered-devices.png | Bin 0 -> 89883 bytes .../images/flow-monitoring-drawer.png | Bin 0 -> 154192 bytes .../images/network-overview.png | Bin 0 -> 320662 bytes .../images/reachability-tab.png | Bin 0 -> 227491 bytes .../images/snmp-wizard-collector-agent.png | Bin 0 -> 122348 bytes .../images/snmp-wizard-credentials.png | Bin 0 -> 110656 bytes .../images/snmp-wizard-profile.png | Bin 0 -> 152081 bytes .../network-monitoring/images/topology.png | Bin 0 -> 264056 bytes .../network-monitoring/images/traffic-tab.png | Bin 0 -> 322784 bytes .../docs/docs/network-monitoring/index.mdx | 56 ++++++ .../manage-troubleshoot.mdx | 52 +++++ .../network-monitoring/monitoring-snmp.mdx | 95 +++++++++ .../docs/network-monitoring/network-page.mdx | 79 ++++++++ .../reachability-checks.mdx | 49 +++++ .../network-monitoring/monitoring-snmp.mdx | 180 ------------------ 26 files changed, 440 insertions(+), 188 deletions(-) rename src/content/docs/{guides => docs}/network-monitoring/_meta.json (71%) create mode 100644 src/content/docs/docs/network-monitoring/discover-devices.mdx create mode 100644 src/content/docs/docs/network-monitoring/flow-monitoring.mdx create mode 100644 src/content/docs/docs/network-monitoring/images/add-reachability-check.png create mode 100644 src/content/docs/docs/network-monitoring/images/all-devices.png create mode 100644 src/content/docs/docs/network-monitoring/images/configure-integrations.png create mode 100644 src/content/docs/docs/network-monitoring/images/device-drawer-interfaces.png create mode 100644 src/content/docs/docs/network-monitoring/images/device-drawer-overview.png create mode 100644 src/content/docs/docs/network-monitoring/images/discover-add-scan.png create mode 100644 src/content/docs/docs/network-monitoring/images/discovered-devices.png create mode 100644 src/content/docs/docs/network-monitoring/images/flow-monitoring-drawer.png create mode 100644 src/content/docs/docs/network-monitoring/images/network-overview.png create mode 100644 src/content/docs/docs/network-monitoring/images/reachability-tab.png create mode 100644 src/content/docs/docs/network-monitoring/images/snmp-wizard-collector-agent.png create mode 100644 src/content/docs/docs/network-monitoring/images/snmp-wizard-credentials.png create mode 100644 src/content/docs/docs/network-monitoring/images/snmp-wizard-profile.png create mode 100644 src/content/docs/docs/network-monitoring/images/topology.png create mode 100644 src/content/docs/docs/network-monitoring/images/traffic-tab.png create mode 100644 src/content/docs/docs/network-monitoring/index.mdx create mode 100644 src/content/docs/docs/network-monitoring/manage-troubleshoot.mdx create mode 100644 src/content/docs/docs/network-monitoring/monitoring-snmp.mdx create mode 100644 src/content/docs/docs/network-monitoring/network-page.mdx create mode 100644 src/content/docs/docs/network-monitoring/reachability-checks.mdx delete mode 100644 src/content/docs/guides/network-monitoring/monitoring-snmp.mdx diff --git a/AGENTS.md b/AGENTS.md index 97eedcf8..583cd596 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -13,12 +13,13 @@ The single most important thing you can do here is **write documentation that so ## 2. Writing Style & Voice (READ THIS BEFORE WRITING CONTENT) -Good documentation reads like a knowledgeable colleague explaining something at your desk — not like a manual, and definitely not like ad copy. Picture the reader as someone who is in the middle of a task, slightly frustrated, and scanning for the answer. Everything below serves that reader. +Good documentation reads like a knowledgeable colleague explaining something at your desk — not like a manual, and definitely not like ad copy. Picture the reader as someone who is in the middle of a task, slightly frustrated, and scanning for the answer. Everything below serves that reader, and it follows the same playbook as the Stripe, Google developer docs: talk to the reader directly, lead with the task, and cut anything that isn't pulling weight. ### Write to the reader, about their task -- Use second person ("you"). Address the reader directly: "You'll need an API key before you start," not "Users must first obtain an API key." -- Make the reader the subject, not the product. Write "you land on the dashboard," not "KloudMate lands you on the dashboard." Naming the product once is fine and sometimes useful, but when it's the grammatical subject of sentence after sentence, the page reads like a feature announcement instead of a guide. The reader is the one doing the task — keep them at the center. When there's no natural "you," describe the system state instead ("the **Setup checklist** drawer opens automatically"). +- Use second person. Address the reader as "you," the way the Google, Stripe, and Datadog docs do: "you" for explanations, conditions, and outcomes ("you can group alerts by service," "if you're behind a proxy," "you'll land on the dashboard"), and the imperative for steps ("Open the **Add** menu," "Run the install script"). Prefer "you" over "the user" or "they." +- Make the reader the subject, not the product. Write "you land on the dashboard," not "KloudMate lands you on the dashboard." Naming the product once is fine and sometimes useful, but when it's the grammatical subject of sentence after sentence, the page reads like a feature announcement instead of a guide. When there's no natural "you," describe the system state instead ("the **Setup checklist** drawer opens automatically"). +- Use the imperative for procedures ("Open **Settings**," "Run the migration"), the serial (Oxford) comma, and American English spelling. This matches the Google, Stripe, and Datadog docs. - Lead with the goal, then the steps. Open a page by saying what the reader will accomplish and when they'd use it — not with history or background they didn't ask for. - Prefer active voice and present tense. "The alert fires within seconds" beats "An alert will be sent." - Cut the throat-clearing. Phrases like "It's worth noting that…" or "In this section, we will discuss…" add nothing. Just say the thing. @@ -27,9 +28,10 @@ Good documentation reads like a knowledgeable colleague explaining something at - Vary your sentence length. A run of identical medium-length sentences is the clearest sign a machine wrote the page. Mix short, direct lines with longer explanatory ones. - Watch for repeated sentence openers, too. Three sentences in a row that start with the same word — especially the product name — turn into a drumbeat. Recast some of them so the reader, an action, or the result leads instead. -- Contractions are good and usually better — "don't," "you'll," "it's." They match how people actually talk. +- Contractions are good and usually better: "don't," "you'll," "it's." They match how people actually talk. - Be concrete. Show a real endpoint, a real value, a real error message. "Set `retention_days` to `30`" is more useful than "configure the retention setting appropriately." - Don't pad. If a sentence can be deleted without losing meaning, delete it. +- Go easy on em dashes. A period, comma, or colon almost always reads cleaner, and a page peppered with them reads as machine-written. ### Words and phrases to avoid @@ -40,6 +42,7 @@ These read as filler or AI boilerplate. Strike them on sight: - **Overused verbs:** *leverage* → use "use"; *utilize* → use "use"; *delve into* → use "cover" or "explain"; *facilitate* → use "let" or "help." - **Condescending qualifiers:** simply, just, easy, obviously, of course. If a step were genuinely simple, the reader wouldn't be on this page. Telling a stuck user that something is "easy" only makes them feel worse. - **Vague intensifiers:** very, really, quite, "a variety of," "a wide range of," "a number of." +- **Padding and Latinate shortcuts:** drop "please" (just give the step); *e.g.* → "for example"; *i.e.* → "that is"; *via* → "through" or "with"; "in order to" → "to"; "once you" → "after you." (This mirrors the Datadog docs linter.) ### Be honest and helpful about the hard parts @@ -65,7 +68,7 @@ These read as filler or AI boilerplate. Strike them on sight: > "KloudMate offers a powerful and seamless way to effortlessly leverage your observability data. In today's complex cloud environments, it's worth noting that users can simply configure a wide variety of robust alerting options to suit their needs." > > **Prefer:** -> "Alerts tell you when something needs attention — an error-rate spike, a service going quiet, a budget threshold crossed. This page walks you through creating your first alert and routing it to Slack." +> "Alerts tell you when something needs attention: an error-rate spike, a service going quiet, a budget threshold crossed. This page walks you through creating your first alert and routing it to Slack." The "prefer" version is shorter, says what the reader gets, names real scenarios, and keeps the reader (not the product) at the center. Aim for that on every page. @@ -140,7 +143,7 @@ Run through this on any page you wrote or edited. It's the human-quality equival - [ ] Does the page open by telling the reader what they'll accomplish? - [ ] Did I read it out loud (or in my head)? Does it sound like a person, or like a template? -- [ ] Is the reader ("you") the subject of most sentences, rather than the product? Does any product name appear as the subject several sentences in a row? +- [ ] Is the reader ("you") the subject of the explanations, with steps in the imperative, rather than the product? Does any product name appear as the subject several sentences in a row? - [ ] Are there any banned words from Section 2 (powerful, seamless, leverage, simply, just…)? - [ ] Do the sentences vary in length, or do they all march at the same pace? - [ ] Will every code block actually run if pasted? diff --git a/CLAUDE.md b/CLAUDE.md index 0fb4f046..65a0e981 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -19,7 +19,7 @@ AGENTS.md already says to keep the reader (not the product) as the subject, and - "You own the raw YAML" becomes "The raw YAML is edited directly." - "You manage the agent from the web interface" becomes "The agent is managed from the web interface." -Keep genuine step instructions in second person: "you turn on the toggle," "when you change a setting," and imperative steps like "Run the install script." The objection is only to declarative claims about the reader's environment, not to instructional voice. +Give step instructions in the imperative: "Turn on the toggle," "Run the install script." The objection is only to declarative claims about the reader's environment, not to instructional voice. ## Verify before you finish diff --git a/src/content/docs/guides/network-monitoring/_meta.json b/src/content/docs/docs/network-monitoring/_meta.json similarity index 71% rename from src/content/docs/guides/network-monitoring/_meta.json rename to src/content/docs/docs/network-monitoring/_meta.json index aac507a8..6356837b 100644 --- a/src/content/docs/guides/network-monitoring/_meta.json +++ b/src/content/docs/docs/network-monitoring/_meta.json @@ -1,4 +1,4 @@ { "label": "Network Monitoring", - "order": 3 + "order": 8.5 } diff --git a/src/content/docs/docs/network-monitoring/discover-devices.mdx b/src/content/docs/docs/network-monitoring/discover-devices.mdx new file mode 100644 index 00000000..549751d7 --- /dev/null +++ b/src/content/docs/docs/network-monitoring/discover-devices.mdx @@ -0,0 +1,48 @@ +--- +title: "Discover Devices" +description: "Scan IP ranges for SNMP devices and start monitoring a whole site at once with the KloudMate Agent." +sidebar: + label: "Discover devices" + order: 2 +--- + +Discovery is the quickest way to onboard a site. You give the agent a few IP ranges and the community strings to try, and it scans them, finds the devices that answer SNMP, and starts monitoring them automatically. For a handful of known addresses, [Add SNMP devices](/network-monitoring/monitoring-snmp/) is the more direct route. + +## Before you start + +- A Linux or Docker KloudMate Agent with network access to the ranges you want to scan. Kubernetes agents can't run discovery. +- The v1/v2c community strings the devices use. Discovery tries these against every address in range. + +:::caution +Discovery credentials are v1/v2c only. To monitor a device that requires SNMPv3, add it directly with the [SNMP wizard](/network-monitoring/monitoring-snmp/). +::: + +## Add a scan + +On the **Network** page, open the **Add** menu and choose **Discover devices**. Fill in the scan: + +- **Ranges to scan**: one CIDR or range per line (or comma-separated), for example `10.0.0.0/24` or `10.0.1.1-50`. +- **Candidate communities**: the v1/v2c community strings to try, such as `public, private`. These are sent as plain text and used only for discovery. +- **Version**: v2c or v1. +- **Scan interval**: how often to re-scan, for example `1h`. +- **Port**: the SNMP port to probe, `161` by default. + +You can add several scans on one agent, each with different ranges, ports, or communities, and the agent runs each on its own interval and combines the results. + +![The Discover devices form with a collector agent, ranges to scan, candidate communities, version, scan interval, and port fields](./images/discover-add-scan.png) + +## What happens next + +Every device a scan finds is monitored automatically, using the community that answered it. The agent applies its updated configuration to start polling, which briefly restarts data collection on that agent. It only restarts when the set of monitored devices actually changes, so a steady scan that keeps finding the same devices does nothing. + +:::caution +A single scan monitors up to 256 devices. Point scans at focused ranges rather than an entire `/16`, or a large range will leave some devices unmonitored. +::: + +The **Discovered devices** panel lists what the scans found: address, name, vendor, description, and whether each is reachable. Results appear after the next scan interval, and **Refresh** reloads them. Monitored devices also show up on the **All devices** tab like any other SNMP device. + +![The Discovered devices table with address, name, vendor, description, and reachable columns](./images/discovered-devices.png) + +## Adjust what's monitored + +Discovery is sticky. A device stays monitored even if a later scan misses it once, so a brief blip doesn't make it vanish. Instead it reports **Down**, which is the accurate state. To stop monitoring devices, narrow or remove the range that covers them (or delete the scan) from **Configure**. The agent then re-accumulates from the ranges that remain. See [Manage and troubleshoot](/network-monitoring/manage-troubleshoot/). diff --git a/src/content/docs/docs/network-monitoring/flow-monitoring.mdx b/src/content/docs/docs/network-monitoring/flow-monitoring.mdx new file mode 100644 index 00000000..bdeb9b38 --- /dev/null +++ b/src/content/docs/docs/network-monitoring/flow-monitoring.mdx @@ -0,0 +1,50 @@ +--- +title: "Flow Monitoring (NetFlow & sFlow)" +description: "See the application traffic mix on your network links with NetFlow, IPFIX, and sFlow in KloudMate." +sidebar: + label: "Flow monitoring" + order: 4 +--- + +SNMP shows how much traffic crosses an interface, but not what that traffic is. Flow monitoring fills that gap. It breaks the load down by application, across HTTPS, streaming, DNS, database, and the rest. You add a listener on the agent, point your devices' flow export at it, and the mix shows up on the **Traffic** tab. + +The agent listens for NetFlow, IPFIX, and sFlow. It classifies each flow by its well-known port and rolls the flows into per-application byte and packet counts. + +## Add a listener + +On the **Network** page, open the **Add** menu and choose **Flow monitoring**: + +- **Flow protocol**: **NetFlow / IPFIX** or **sFlow**. +- **Listener port**: the UDP port the agent listens on. It defaults to `2055` for NetFlow and `6343` for sFlow. + +Add one listener per protocol your devices export. NetFlow and sFlow can run at the same time on different ports, and the agent combines their results. Then configure each device to send flow records to `agent-ip:port`. + +![The Flow monitoring form with a flow protocol selector, a listener port, a Ship raw flow logs toggle, and a sample-rate field](./images/flow-monitoring-drawer.png) + +:::caution +Flow volume can be high, so turn on sampling at the sending device rather than exporting every flow. Applications are identified by well-known port, not by deep packet inspection. All traffic on port 443 is labeled `https`, so an app on a non-standard port shows up as `other`. +::: + +## What you get + +Both metrics are byte and packet totals per application, per interval: + +- `netflow_app_bytes` +- `netflow_app_packets` + +Each carries three attributes: `app` (`https`, `dns`, `voip_sip`, `database`, and so on, plus `other`), `transport` (`tcp` or `udp`), and `exporter`, the management IP of the device that sent the flow. Because `exporter` matches a device's address, KloudMate ties the traffic mix back to the SNMP device that carries it, so a saturated interface and its application breakdown sit in one place. + +## Where results show up + +Open the **Traffic** tab for the workspace-wide view: top applications, top transports, and totals over the selected window. Each device drawer also has a **Traffic** tab, scoped to the flow that device exports. + +![The Traffic tab showing total traffic, total packets, and average throughput tiles above a stacked traffic-over-time-by-application chart](./images/traffic-tab.png) + +## Find the top talkers + +The per-application metric answers "what apps are on this link," but it drops the source and destination addresses, so it can't tell you which host is the bandwidth hog. To answer that, turn on raw flow logs when you add or edit a listener: + +- **Ship raw flow logs**: off by default. When on, the agent also stores each flow as a log with its source and destination address and port, so you can rank the top talkers and search individual flows. +- **Sample rate (%)**: the percentage of flows to keep as logs, from 1 to 100. Leave it blank to keep all of them. + +Raw flow logs carry more volume than the per-app metrics, so sample them on a busy link. 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agent +If your outbound traffic is restricted, see [Network requirements](reference/network-requirements/) for the URLs to allowlist before installing. + diff --git a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx index 203a2dc1..0a6b1055 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx @@ -28,6 +28,7 @@ You need: - Your **KloudMate API key**. - The **collector endpoint**, `https://otel.kloudmate.com:4318`. - Instances on a supported Linux (Amazon Linux 2 or 2023, Ubuntu, Debian, or the RHEL family). eBPF monitoring needs a modern kernel, which the standard AWS AMIs have. +- Network access to the [required URLs](../../reference/network-requirements/) if your outbound traffic is restricted. Both examples below put the API key directly into the provisioning step. To keep it out of the launch template, read it from SSM Parameter Store or Secrets Manager instead and set `KM_API_KEY` from there. That is the only line that changes. diff --git a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx index 12482c85..2bfaa56c 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx @@ -49,6 +49,7 @@ View all collected data in these KloudMate sections: ## Pre-requisites - Docker must be installed on the system. +- Network access to the [required URLs](../../reference/network-requirements/) if your outbound traffic is restricted. :::note The Docker agent requires `docker.sock` to be mounted to the agent container. diff --git a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx index 2251d31c..549088cb 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx @@ -85,6 +85,7 @@ Before you start, make sure you have: - **AWS credentials** for the account and region that hold your cluster, with permission to register task definitions and update services - The **AWS CLI** and **jq** on the machine you run the script from - An **ECS cluster** already running your workloads +- Network access to the [required URLs](../../reference/network-requirements/) if your outbound traffic is restricted Instrumenting a service runs a task-definition injection step. This happens on every Fargate install, and on any EC2 install that names services. That step needs either **Docker**, which runs the agent's ECS image, or a native `kmagent` binary set through `KM_AGENT_BIN`. A daemon-only EC2 install needs neither. diff --git a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx index 37221ac5..860fd22c 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/infrastructure-as-code-iaac-installation.mdx @@ -13,6 +13,8 @@ Deploy the KloudMate agent across any cloud provider or on-premises infrastructu However you install it, each agent starts in managed mode. Once it checks in, it automatically collects host metrics, logs, and [eBPF monitoring](../../ebpf-observability/) data. See the [configuration model](../../concepts/config-model/). ::: +If your outbound traffic is restricted, allowlist the [required URLs](../../reference/network-requirements/) before provisioning. + ## Deployment Approaches | Method | Best For | Cloud Support | diff --git a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx index 41799830..2b4557a0 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx @@ -68,6 +68,7 @@ Use the KloudMate Kubernetes Agent to monitor your Kubernetes infrastructure and - Kubernetes version 1.24 or above - Helm version 3.0 or above - Cert Manager version v1.18.2 or above +- Network access to the [required URLs](../../reference/network-requirements/) if your outbound traffic is restricted ### Step 2: Install Cert Manager diff --git a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx index ca9a3e7d..791d64bf 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/linux-agent.mdx @@ -9,6 +9,8 @@ Install the **KloudMate Agent** on a Linux machine. **Supported Platforms:** Debian/Ubuntu, RHEL/CentOS. +If your outbound traffic is restricted, allowlist the [required URLs](../../reference/network-requirements/) before installing. + :::note The commands below are for reference only. Log in to KloudMate and copy your account-specific command to install the Agent. ::: diff --git a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx index dcacaf75..425d3c9c 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/windows-agent.mdx @@ -7,6 +7,8 @@ sidebar: Install the **KloudMate Agent** on Windows **(Windows Server 2016+)**. +If your outbound traffic is restricted, allowlist the [required URLs](../../reference/network-requirements/) before installing. + :::note The commands below are for reference only. Log in to KloudMate and copy your account-specific command to install the Agent. ::: diff --git a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx index 21fc7d52..95058239 100644 --- a/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx +++ b/src/content/docs/docs/kloudmate-agent/log-monitoring.mdx @@ -41,7 +41,7 @@ You add each source through the wizard on the Logs tab. -TODO(screenshot): the Logs tab wizard, showing the folder and file-name pattern, the format picker, and the attributes. +![The "Add log source" wizard, showing the folder and file-name pattern, the log format picker, and the attributes section.](./images/log-monitoring-add-source.png) ## Choose how to parse @@ -104,7 +104,7 @@ Before you save a source, use **Preview results**. The agent does the check agai The preview flags problems while you can still fix them: a regex that does not match a line, or a timestamp layout that a value will not parse against. Secrets that appear in the sample, such as passwords, tokens, and bearer values, are redacted on the host before the sample is sent, so they never leave the machine. -TODO(screenshot): the Preview results panel, showing matched files and a parsed sample record. +![The Preview results panel, showing the matched files and a parsed sample record with its timestamp, body, and attributes.](./images/log-monitoring-preview-results.png) ## How the agent reads your files diff --git a/src/content/docs/docs/kloudmate-agent/reference/network-requirements.mdx b/src/content/docs/docs/kloudmate-agent/reference/network-requirements.mdx new file mode 100644 index 00000000..95366e4a --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/reference/network-requirements.mdx @@ -0,0 +1,32 @@ +--- +title: "Network requirements" +description: "The outbound URLs the KloudMate agent needs to reach, so you can allowlist them on your firewall or proxy before installing." +sidebar: + order: 5 +--- + +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +Before you install the agent on a network with restricted outbound access, allowlist the URLs below. Without them, the agent cannot download, check in, or send telemetry. + +## Required URLs + +| URL | Purpose | +|---|---| +| `otel.kloudmate.com` | The telemetry endpoint the agent's collector sends metrics, traces, and logs to. | +| `api.kloudmate.com` | The KloudMate API the agent uses to check in, fetch configuration, and report status. | +| `ghcr.io` | GitHub Container Registry, where the agent and collector container images are hosted (Docker and Kubernetes installs). | +| `pkg-containers.githubusercontent.com` | Backing storage for `ghcr.io` image layers. | +| `github.com` | Used by the install script to download the agent. | +| `api.github.com` | Used for agent update checks. | + +All of these are outbound, HTTPS connections initiated by the agent or collector; no inbound access is required. + +## Related + + + + + + + From eb638381f265a292f0af5bfeff8a2360d435b1c4 Mon Sep 17 00:00:00 2001 From: vasavi-r Date: Sat, 25 Jul 2026 13:22:09 +0530 Subject: [PATCH 30/39] Update Network Requirements --- .../docs/docs/kloudmate-agent/reference/network-requirements.mdx | 1 + 1 file changed, 1 insertion(+) diff --git a/src/content/docs/docs/kloudmate-agent/reference/network-requirements.mdx b/src/content/docs/docs/kloudmate-agent/reference/network-requirements.mdx index 95366e4a..1c58451c 100644 --- a/src/content/docs/docs/kloudmate-agent/reference/network-requirements.mdx +++ b/src/content/docs/docs/kloudmate-agent/reference/network-requirements.mdx @@ -17,6 +17,7 @@ Before you install the agent on a network with restricted outbound access, allow | `api.kloudmate.com` | The KloudMate API the agent uses to check in, fetch configuration, and report status. | | `ghcr.io` | GitHub Container Registry, where the agent and collector container images are hosted (Docker and Kubernetes installs). | | `pkg-containers.githubusercontent.com` | Backing storage for `ghcr.io` image layers. | +| `charts.kloudmate.com` | Home of the agent's Helm chart. Relevant when installing the Kubernetes agent from a VM, since `helm repo add`/`helm install` fetches the chart from here. | | `github.com` | Used by the install script to download the agent. | | `api.github.com` | Used for agent update checks. | From 0d96f7c032acdab7ef220da4526150f3300c76eb Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Sat, 25 Jul 2026 22:15:06 +0530 Subject: [PATCH 31/39] agent doc update --- .../apm-and-tracing/apm-views/service-map.mdx | 2 +- .../auto-instrumentation/kubernetes.mdx | 23 +++++++----- .../auto-instrumentation/overview.mdx | 35 +++++++++++-------- .../kloudmate-agent/ebpf-observability.mdx | 2 +- .../docs/docs/kloudmate-agent/index.mdx | 2 +- .../installation/docker-agent.mdx | 2 +- .../installation/kubernetes-agent.mdx | 16 ++++----- .../kloudmate-agent/platform-notes/docker.mdx | 32 +++++++++-------- .../platform-notes/kubernetes.mdx | 2 +- 9 files changed, 66 insertions(+), 50 deletions(-) diff --git a/src/content/docs/docs/apm-and-tracing/apm-views/service-map.mdx b/src/content/docs/docs/apm-and-tracing/apm-views/service-map.mdx index 01826d26..a66e350b 100644 --- a/src/content/docs/docs/apm-and-tracing/apm-views/service-map.mdx +++ b/src/content/docs/docs/apm-and-tracing/apm-views/service-map.mdx @@ -12,7 +12,7 @@ You can use it to understand service dependencies, traffic flow, and operational The map is built from distributed traces, so both sources of tracing feed it: -- **[eBPF monitoring](../../../kloudmate-agent/ebpf-observability/)** captures traces at the kernel level with no code change. A service covered only by eBPF still appears on the map. +- **[eBPF monitoring](../../../kloudmate-agent/ebpf-observability/)** captures traces at the kernel level with no code change, so an eBPF-covered service appears on the map on its own — on VMs, hosts, and containers. (On [Kubernetes](../../../kloudmate-agent/auto-instrumentation/kubernetes/), eBPF provides the network topology instead, and traces come from the SDK.) - **[Auto-instrumentation](../../../kloudmate-agent/auto-instrumentation/overview/)** and the OpenTelemetry SDK produce traces from inside the application. Each service becomes a node under its `service.name`, and an edge is drawn wherever one service's trace calls another. A service needs a distinct `service.name` to appear as its own node — the agent gives an eBPF-monitored service the same name it carries once auto-instrumented, so it keeps one identity whether eBPF or the SDK is tracing it. diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx index c729348e..2e1c46df 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/kubernetes.mdx @@ -1,13 +1,17 @@ --- title: "Kubernetes" -description: "How the KloudMate agent instruments Kubernetes workloads with the OpenTelemetry Operator, mirroring the per-service Instrument flow on Linux." +description: "How the KloudMate agent traces Kubernetes workloads one at a time — Off, eBPF, or SDK — with the OpenTelemetry Operator handling SDK injection." sidebar: order: 3 --- import { Tabs, TabItem, LinkCard, CardGrid } from '@astrojs/starlight/components'; -On Kubernetes, application performance monitoring (APM) works the same opt-in way as on other platforms. The difference is the injection method: it uses the OpenTelemetry (OTel) Operator instead of systemd configuration. When you instrument a workload, the agent adds an annotation, the Operator injects the matching language agent into the pods, and the pods restart with tracing on. For the general flow, consent, and status behavior, see the [Application APM overview](../overview/). +On Kubernetes, application performance monitoring (APM) works the same opt-in, per-workload way as on other platforms: for each workload you choose **Off**, **eBPF**, or **SDK**. eBPF tracing runs in the DaemonSet collector and needs no code change and no restart. SDK tracing uses the OpenTelemetry (OTel) Operator — the agent adds an annotation, the Operator injects the matching language agent, and that workload's pods restart with tracing on. Off is the default, so nothing is traced until you turn it on. For the shared flow, consent, and status behavior, see the [Application APM overview](../overview/). + +:::note[Which modes a workload offers] +Workloads with a supported SDK language — Java, Node.js, Python, or .NET — offer all three modes. Go, Ruby, and unrecognized runtimes such as Hasura have no SDK injector, so they offer **Off** or **eBPF** only. eBPF traces those at the kernel level with no injector and no restart, which is the only way to get traces from a workload no language agent can attach to. +::: ## Prerequisites @@ -19,13 +23,13 @@ There are two ways to instrument workloads. ### From the dashboard -After the agent is installed, open the APM configuration for the cluster and use the toggle to enable APM. The agent then detects your running workloads and their languages, and you instrument them from the **Discovered Services** view, the same as on other platforms. +After the agent is installed, open the cluster's APM configuration. The agent lists the workloads it discovered, grouped by namespace, with each workload's detected language. For each one, choose **Off**, **eBPF**, or **SDK**, then apply. In a large cluster, use the namespace filter or the search box to find a workload. -TODO(screenshot): the Kubernetes APM toggle and the per-workload instrument list. +TODO(screenshot): the Kubernetes APM list grouped by namespace with per-workload Off / eBPF / SDK controls. ### With deployment annotations -If a workload is not detected automatically, add the OpenTelemetry Operator annotation for its language and restart the workload. This is the underlying mechanism the toggle uses. +If a workload isn't detected automatically, you can turn on **SDK** tracing by hand: add the OpenTelemetry Operator annotation for its language and restart the workload. This is the same annotation the SDK control applies. eBPF tracing has no annotation — the DaemonSet drives it, so you select it from the dashboard. @@ -60,13 +64,16 @@ kubectl patch deployment -n -p '{"spec":{"template":{"metadata":{"an After adding the annotation, restart the deployment so the Operator injects the agent into new pods. -## Parity with the Linux flow +## How each mode applies + +The opt-in flow is the same as on [Linux](../linux-systemd/): discover a workload, pick Off, eBPF, or SDK, and let traces flow. What differs is how Kubernetes applies each mode: -It works the same way as on [Linux](../linux-systemd/): discover a workload, toggle Instrument, and let traces flow. Those traces are correlated with eBPF monitoring that already covers the cluster. Only the mechanism differs. Kubernetes uses annotation-driven injection and a rolling pod restart. Linux uses systemd config files and a service restart. +- **eBPF** changes take effect on the next agent check-in with **no pod restart**. The DaemonSet reloads its configuration in place and starts tracing the workloads you selected, so switching a workload on or off doesn't roll any pods. +- **SDK** changes go through the OTel Operator's annotation, so **only that workload's pods** roll to pick up the injected agent. Linux, by contrast, applies SDK through systemd config files and a service restart. ## Monitored namespaces -APM applies to the namespaces you monitor. You set these at install time. If you leave the list empty, the agent monitors all namespaces except the system ones. See the [Kubernetes installation guide](../../installation/kubernetes-agent/). +APM discovery applies to the namespaces you monitor, which you set at install time with `monitoredNamespaces`. Leave it empty to discover workloads in every namespace except the system ones: `kube-system`, `kube-public`, `kube-node-lease`, `cert-manager`, and anything starting with `kube-` are excluded by default. To also skip your own cluster-infrastructure namespaces — ingress controllers, `vpa`, `external-secrets`, and the like — list them in the `excludedNamespaces` Helm value. See the [Kubernetes installation guide](../../installation/kubernetes-agent/). ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx index de7e8162..95d1ecb0 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -7,40 +7,45 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -Application performance monitoring (APM) is the opt-in half of the agent. eBPF monitoring gives you Rate, Errors, and Duration (RED) metrics and a service map automatically. Application APM goes further: it attaches OpenTelemetry (OTel) auto-instrumentation to a service and produces full distributed traces, with spans for your frameworks, database calls, and outbound requests. It needs a process restart, so you turn it on one service at a time. +Application performance monitoring (APM) is opt-in and per service. For each service the agent discovers, you choose how it is traced: -## The per-service opt-in flow +- **Off** — not traced. This is the default, so nothing is traced (and nothing costs) until you turn it on. +- **eBPF** — Rate, Errors, and Duration (RED) metrics and trace spans, captured out of process with no code change and no restart. +- **SDK** — OpenTelemetry (OTel) auto-instrumentation attached in-process for full distributed traces, with spans for your frameworks, database calls, and outbound requests. It needs a one-time process restart, so you turn it on one service at a time. + +## The per-service flow The flow is the same across every deployment mode: 1. **Discover.** The agent finds your services and lists them under **Discovered Services**. See [Discovery](../../concepts/discovery/). -2. **Toggle Instrument.** You turn on the **Instrument** toggle for a service. -3. **Consent to the restart.** Instrumentation only takes effect when the process restarts, so the agent asks before restarting. You can restart now, or leave the change pending until the next restart. -4. **Traces flow.** After the restart, the service sends application traces to the agent's local collector, correlated with its eBPF spans. - -Throughout this flow, eBPF monitoring keeps covering the service, so there is no visibility gap while you enable APM. +2. **Choose a mode.** For each service, pick Off, eBPF, or SDK, then apply. eBPF takes effect on the next agent check-in with no restart. +3. **Confirm the restart (SDK only).** SDK instrumentation takes effect when the process restarts, so the agent asks before applying. After you confirm, the service shows **Pending** while the agent applies the change and restarts the app. +4. **Traces flow.** The service's chip flips to **Instrumented** and it sends application traces to the agent's local collector, correlated with its eBPF spans. ## Status chips -Each service in the list shows a status chip so you always know where it stands: +Each service selected for SDK instrumentation shows a status chip so you always know where it stands: + +- **Pending:** the service is selected for SDK and the agent is wiring it up — applying the change and restarting the app. It clears to **Instrumented** once the agent confirms, usually within a minute. +- **Instrumented:** the SDK is applied and the service is sending application traces. +- **Failed:** the restart failed, so the agent rolled back the change (see rollback below) and the service reverts to its previous mode. +- **Unsupported:** the runtime version has no bundled instrumentation — for example a Python minor release with no bundled cell. The service stays covered by eBPF; move to a supported version to add SDK traces. -- **Instrumented:** instrumentation is applied and the service restarted cleanly. -- **Pending restart:** the change is written but the service has not restarted yet. -- **Failed, rolled back:** the restart failed, so the agent reverted the change (see rollback below). +Services covered by eBPF (Go, Ruby, or anything without an SDK injector) don't restart and carry no chip — eBPF traces them as soon as you turn them on. A separate **Restart pending** marker on the *agents list* is unrelated: it means the agent's own collector configuration is queued for a restart, not a per-service instrumentation change. -TODO(screenshot): the Discovered Services list with per-service Instrument toggles and status chips. +TODO(screenshot): the Discovered Services list with per-service Off / eBPF / SDK controls and status chips. ## Restart consent and health gating -The agent never restarts your services silently. In this version: +The agent never restarts your services silently. -- Every restart requires **explicit, per-service confirmation**. There is no batched or automatic restart. +- Turning SDK instrumentation on or off needs a restart, so the agent asks for **explicit confirmation** first, and the prompt lists exactly which apps restart. eBPF and Off changes apply with no restart and no prompt. - The agent restarts **one service at a time**. - It can apply an optional **health gate**. After the restart, the agent waits for the service to become active. Where the listen port is known, it also waits for the service to accept connections before reporting success. ## Automatic rollback -If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**. It removes the change, reloads, and restarts the service, so the service returns to its previous state, and reports the status as failed, rolled back. eBPF monitoring keeps covering the service. Because you instrument one service at a time, a problem with one never affects the others. +If an instrumented service fails to restart or falls into a crash loop, the agent **rolls back automatically**. It removes the change, reloads, and restarts the service, so the service returns to its previous mode, and its chip shows **Failed**. Because you instrument one service at a time, a problem with one never affects the others. ## Supported runtimes diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index 593ae988..b75589ed 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -22,7 +22,7 @@ When eBPF monitoring is active, the agent collects: - **Distributed context propagation:** the agent reads and injects HTTP trace context (`traceparent`), so requests stay on one trace across services. - **Log-to-trace correlation:** trace identifiers are added to application logs so you can jump between a log line and its trace. -Because eBPF observes traffic in the kernel, it covers services you have not instrumented. That includes Go services, which the agent does not inject. When a service is also instrumented with application APM, the eBPF spans and the application spans share the same trace, so uninstrumented hops still appear in end-to-end traces. +Because eBPF observes traffic in the kernel, it can trace a service with no code change and no restart — including Go and other services no language agent can inject. eBPF RED metrics and trace spans are a per-service choice you turn on (the **eBPF** APM mode); the network topology map and database activity monitoring run automatically. When a service also runs application APM, its eBPF spans and the application spans share the same trace, so hops you haven't put on the SDK still appear in end-to-end traces. See the [Application APM overview](../auto-instrumentation/overview/). ## Deployment modes and requirements diff --git a/src/content/docs/docs/kloudmate-agent/index.mdx b/src/content/docs/docs/kloudmate-agent/index.mdx index fb97b8f5..535dcea9 100644 --- a/src/content/docs/docs/kloudmate-agent/index.mdx +++ b/src/content/docs/docs/kloudmate-agent/index.mdx @@ -50,7 +50,7 @@ The agent runs across four deployment modes. Not every capability applies to eve | Agent health and self-logs | Yes | Yes | Yes | Yes | :::note -On Linux, eBPF monitoring needs kernel 4.14 or newer, and does more on 5.8 and above. On Docker, host and container metrics, logs, and eBPF monitoring are automatic. PHP containers are traced without a redeploy, and Java, Node.js, Python, and .NET are covered by eBPF monitoring. See [Docker platform notes](platform-notes/docker/). +On Linux, eBPF monitoring needs kernel 4.14 or newer, and does more on 5.8 and above. On Docker, host and container metrics and logs are automatic; application tracing is opt-in per service (Off / eBPF). PHP containers are traced in place without a redeploy, and Java, Node.js, Python, and .NET use eBPF (no SDK injection on Docker). See [Docker platform notes](platform-notes/docker/). ::: ## Prerequisites: access and permissions diff --git a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx index 12482c85..1d9c39ca 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/docker-agent.mdx @@ -82,7 +82,7 @@ For a hand-written `filelog` receiver in manual mode, see [Collect File Logs wit ## Coverage and configuration -In Docker mode, the agent collects host and container metrics, container and host logs, and, where the host kernel supports it, [eBPF monitoring](../../ebpf-observability/) across your containers with no code changes. eBPF monitoring gives you RED metrics, the service map, and Database Activity Monitoring. For span-level application traces, the agent instruments PHP containers without a redeploy. Java, Node.js, Python, and .NET are covered by eBPF monitoring. See [Docker platform notes](../../platform-notes/docker/) for the per-runtime detail. +In Docker mode, the agent collects host and container metrics and container and host logs, and, where the host kernel supports it, places your containers on the service map from [eBPF](../../ebpf-observability/) network flows — with no code changes. Application tracing is opt-in per service: set a container to **eBPF** for RED metrics and spans (no restart), or leave it **Off**. PHP containers are the exception — the agent instruments them in place, no redeploy. Java, Node.js, Python, and .NET use eBPF; SDK injection isn't available on Docker. See [Docker platform notes](../../platform-notes/docker/) for the per-runtime detail. New agents start in managed mode, so KloudMate generates the collector configuration for you. See the [configuration model](../../concepts/config-model/). diff --git a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx index 41799830..c6772c32 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/kubernetes-agent.mdx @@ -90,11 +90,11 @@ Provide a name for your Kubernetes cluster. This name identifies the cluster ins Configure how KloudMate should collect data from this cluster: - **Collect container logs:** Turn this on to collect container logs from the cluster. -- **Enable auto instrumentation for APM:** Turn this on to automatically instrument supported application runtimes (Python, Node.js, Java, .NET, Go) for APM. -- **Monitored namespaces:** Enter a comma‑separated list of namespaces to monitor for events and APM (for example, `redis, kafka, prod-app`). +- **Enable auto instrumentation for APM:** Turn this on to install the APM components, including the OpenTelemetry Operator. After install, you choose per workload whether to trace it, and how — nothing is traced until you do. Supported SDK runtimes are Python, Node.js, Java, and .NET; Go and other runtimes are traced with eBPF. +- **Monitored namespaces:** Enter a comma‑separated list of namespaces to discover workloads in for APM (for example, `redis, kafka, prod-app`). :::note - Leave this field empty to monitor all namespaces (system namespaces are excluded by default). +Leave this field empty to discover workloads in every namespace except the system ones — `kube-system`, `kube-public`, `kube-node-lease`, `cert-manager`, and any `kube-*` namespace are excluded by default. To also skip your own cluster-infrastructure namespaces (ingress controllers, `vpa`, `external-secrets`, and the like), set the `excludedNamespaces` Helm value to a comma-separated list. ::: ### Step 5: Run the installation command @@ -148,16 +148,16 @@ There are two ways to enable **Application Performance Monitoring (APM)** in you ### 1. Enable APM via Dashboard - After installing the agent, open the APM configuration tab in the dashboard. -- Use the toggle button to enable or disable APM. -- Once enabled, the agent automatically detects all running microservices and identifies their programming languages. +- The agent lists the workloads it discovered, grouped by namespace, with each workload's detected language. Use the namespace filter or the search box to find one in a large cluster. +- For each workload, choose **Off**, **eBPF**, or **SDK**, then apply. eBPF starts tracing on the next check-in with no restart; SDK rolls that workload's pods. Workloads with no SDK injector — Go, Ruby, or an unrecognized runtime — offer **Off** or **eBPF** only. ![image](./images/kubernetes-agent-1.png) -- After turning on APM, wait a few minutes for metrics to start, then verify them on the dashboard. +- After you turn a workload on, wait a few minutes for its traces to start, then verify them on the dashboard. -### 2. Enable APM via the Patch Method +### 2. Enable SDK tracing via the Patch Method -Sometimes the agent doesn't detect certain applications. When that happens, use deployment annotations to enable APM for them. +Sometimes the agent doesn't detect certain applications. When that happens, use deployment annotations to turn on SDK tracing for them. (This is the SDK path only; eBPF tracing is driven by the DaemonSet and has no annotation.) **Steps:** diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx index 5323ee93..952a678d 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/docker.mdx @@ -9,24 +9,28 @@ import { LinkCard, CardGrid } from '@astrojs/starlight/components'; How the agent runs in Docker mode. For installation, see the [Docker installation guide](../../installation/docker-agent/). -## What works today, with no injection +## What's automatic -Running in Docker mode, the agent already covers your containers without touching them: +Running in Docker mode, the agent covers your host and containers without touching them: - **Infrastructure, metrics, and logs:** host and container metrics and container logs, from the containerized collector. See [Host metrics and logs](../../baseline/host-metrics-and-logs/). -- **eBPF monitoring:** the extended Berkeley Packet Filter (eBPF) runs in the host kernel, which containers share. It sees container processes and traffic there without touching them. You get Rate, Errors, and Duration (RED) metrics, the service map, and Database Activity Monitoring across your containers with no code changes and no injection. See [eBPF observability](../../ebpf-observability/). -## Application-level tracing in containers +## Application traces -eBPF monitoring traces every container the same way. RED metrics, the service map, and Database Activity Monitoring are there from install, with no per-container work. Whether the agent adds full, span-level application traces on top depends on the runtime: +Application tracing — Rate, Errors, and Duration (RED) metrics and trace spans — is **not** automatic. The agent lists every host process and container it finds under **Discovered Services**, and for each one you choose how it is traced: -| Runtime | Span-level tracing in Docker | What you do | +- **Off** — not traced. This is the default, so nothing is traced (and nothing costs) until you turn it on — which matters on a host running many containers. +- **eBPF** — RED metrics and trace spans, captured in the host kernel with no code change and no restart. + +**SDK injection is not offered on Docker.** The in-process OpenTelemetry SDK — the deep-span option on a Linux host — reads its configuration from the process's start-time environment, which can't change without recreating the container, too invasive for the agent to do automatically. So a container's choice is **Off or eBPF**, the same as Go on a Linux host. For full SDK depth, add OpenTelemetry to the app yourself (below), or run it on a [Linux host](../../installation/linux-agent/) or [Amazon ECS](../../installation/ecs-agent/), where the agent injects it for you. + +| Runtime | In Discovered Services | Full SDK depth | |---|---|---| -| PHP 7 and 8 | Injected directly. The agent installs the tracer inside the running container and reloads the web server, with no redeploy. | Nothing, it is automatic. See [PHP container instrumentation](#instrument-php-containers). | -| Java, Node.js, Python, .NET | eBPF monitoring only. The agent does not inject a language agent into a running container. These runtimes read their instrumentation from the startup environment, which cannot change unless the container is recreated, and the agent does not recreate containers. | [Add OpenTelemetry to the application](#send-full-opentelemetry-traces-from-your-containers) and point it at the agent, or run the service on a [Linux host](../../installation/linux-agent/) or [Amazon ECS](../../installation/ecs-agent/), where the agent instruments it for you. | -| Go | eBPF monitoring only. Go compiles to a static binary with no runtime to attach to. | Nothing. See [Go and eBPF](../../auto-instrumentation/go-ebpf/). | +| Java, Node.js, Python, .NET | **Off / eBPF** — RED + spans, opt-in, no restart | Not injectable on Docker; [add OpenTelemetry yourself](#send-full-opentelemetry-traces-from-your-containers), or run on Linux / ECS | +| Go | **Off / eBPF** | eBPF only — Go is a static binary with no runtime to attach | +| PHP 7 and 8 | Auto-injected in place — see below | Automatic, no redeploy | -Whichever runtime you run, eBPF monitoring keeps covering the container, so you have RED metrics and a place on the service map before you add span-level tracing. +PHP is the exception: the agent can reload the SAPI without a restart, so it instruments PHP containers in place. That is controlled by environment variables, not the per-service toggle. ## Instrument PHP containers @@ -50,13 +54,13 @@ KM_CONTAINER_INSTRUMENT_ENABLED=false The agent cannot instrument a container that serves requests from the **PHP built-in server** (`php -S`), because that server does not reload configuration without a full restart. The official Adminer image is one example. Alpine (musl) images are also a problem, because the bundled tracer assets target glibc. -### These containers are configured by environment, not the UI +### PHP containers are configured by environment, not the per-service toggle -PHP container instrumentation is set through the environment variables above, so instrumented containers do **not** appear in the agent's **Discovered Services** or APM settings screen. That list covers processes on a host and workloads on Kubernetes, not containers on a Docker host. +PHP container instrumentation is controlled by the environment variables above, not the **Off / eBPF** toggle in **Discovered Services**. A PHP container can still appear in that list, but its in-place tracer — not the toggle — is what gives it full traces. Narrow or disable it with the variables above. ## Send full OpenTelemetry traces from your containers -For Java, Node.js, Python, and .NET, full traces come from OpenTelemetry running inside the application. Add it once, at build or deploy time, and point it at the agent. The agent already listens for OpenTelemetry (OTLP) data: +For Java, Node.js, Python, and .NET, **eBPF** (the per-service toggle above) already gives you RED metrics and spans with no code change. For full SDK depth — client spans, database and library instrumentation, custom spans — run OpenTelemetry inside the application. Add it once, at build or deploy time, and point it at the agent. The agent already listens for OpenTelemetry (OTLP) data: - gRPC on port `4317` - HTTP on port `4318` @@ -96,6 +100,6 @@ A tracer built on the host must match the container's exact PHP build, so PHP 7 - + diff --git a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx index bd3741ee..d4a9e646 100644 --- a/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx +++ b/src/content/docs/docs/kloudmate-agent/platform-notes/kubernetes.mdx @@ -14,7 +14,7 @@ How the agent runs on Kubernetes. For installation, see the [Kubernetes installa On Kubernetes, a whole cluster appears in KloudMate as **one agent**, not one per node. It runs as a few pods: - **Fleet manager:** a single pod that applies your configuration to the cluster and reports each collector's status back to KloudMate. -- **Collector pods:** a **DaemonSet** (one per node) collects per-node metrics and pod logs and, where the kernel supports it, runs eBPF monitoring. A **Deployment** (a single replica) collects cluster metrics and events and acts as the OpenTelemetry (OTel) gateway. +- **Collector pods:** a **DaemonSet** (one per node) collects per-node metrics and pod logs and, where the kernel supports it, runs eBPF monitoring — the [network topology map](../../ebpf-network-topology/) and metrics, plus application traces for any workload you set to eBPF mode (see [Application APM on Kubernetes](../../auto-instrumentation/kubernetes/)). A **Deployment** (a single replica) collects cluster metrics and events and acts as the OpenTelemetry (OTel) gateway. ## Per-node collector status From e60290260a9a205d7d192753fd1df186e923fd5c Mon Sep 17 00:00:00 2001 From: Ansh Garhewal Date: Sun, 26 Jul 2026 23:10:46 +0530 Subject: [PATCH 32/39] docs(profiling): embed screenshots on profile types, labels, and flame graph pages Prose-only pages left the reader guessing what a card or the flame graph actually looks like. Adds a screenshot after each page's "reading a card"/"the flame graph" section. --- .../docs/docs/profiling/flame-graph.mdx | 6 +++++- .../docs/docs/profiling/images/flamegraph.png | Bin 0 -> 299192 bytes .../docs/profiling/images/labels_screen.png | Bin 0 -> 147169 bytes .../profiling/images/profile_types_screen.png | Bin 0 -> 192952 bytes .../profiling/images/top_functions_screen.png | Bin 0 -> 231512 bytes src/content/docs/docs/profiling/labels.mdx | 2 ++ .../docs/docs/profiling/profile-types.mdx | 2 ++ 7 files changed, 9 insertions(+), 1 deletion(-) create mode 100644 src/content/docs/docs/profiling/images/flamegraph.png create mode 100644 src/content/docs/docs/profiling/images/labels_screen.png create mode 100644 src/content/docs/docs/profiling/images/profile_types_screen.png create mode 100644 src/content/docs/docs/profiling/images/top_functions_screen.png diff --git a/src/content/docs/docs/profiling/flame-graph.mdx b/src/content/docs/docs/profiling/flame-graph.mdx index 2c2b6b76..d836d1cb 100644 --- a/src/content/docs/docs/profiling/flame-graph.mdx +++ b/src/content/docs/docs/profiling/flame-graph.mdx @@ -18,12 +18,16 @@ A mini time-series chart of the selected type sits above the main view, so you c ## The function table +![image](./images/top_functions_screen.png) + Every function that appears anywhere in the profile gets a row: name, file and line, self time, total time, and each as a percentage of the whole. Click any column header to sort by it — sorting by **Self** is usually the fastest way to find your hotspot, since it's the time spent *in* that function, not in anything it calls. Click a row to open its [details](#node-details). ## The flame graph +![image](./images/flamegraph.png) + Each row of the flame graph is a stack frame; width represents time (or memory, for heap profiles) relative to the root. Wider means more expensive. - **Click a frame** to zoom in — the flame graph re-scales to show only that frame's subtree. A breadcrumb reading *"N levels deep"* appears, with **← Up** and **Reset** to back out. @@ -47,4 +51,4 @@ The **Ask AI** button, top right, hands the current view to the KloudMate Assist ## Related - [Labels](../labels/) — build the filters you can also set from this page's toolbar. -- [Diff](../diff/) — compare two time windows instead of reading one snapshot. +- [Difference View](../difference-view/) — compare two time windows instead of reading one snapshot. diff --git a/src/content/docs/docs/profiling/images/flamegraph.png b/src/content/docs/docs/profiling/images/flamegraph.png new file mode 100644 index 0000000000000000000000000000000000000000..d39d55d8f965a8fa5a9d81e00250f353ef45f70f GIT binary patch literal 299192 zcmd43byOV9w>AnPIKf?mySpdBouI)9Ho@IxAh^40La^ZO?mEG3U~qSL?&SQ=d(OM= z_wTpXy|orhcXe0o-QBxv*YoUfRb`oXD8wi*Ffi}rWF^&LU=XZfVBk`a5TH3QCxv*> z|FF(#GM`{7CP??8CvO2Cl|I72RL7z|eT9dfBRk0IIK#l8_x}BZ9keetgMoQ1kdyqV z;bC~R;;x^({W^F~5Qg^A;q8rcrG8Umb1m+4PtVLu84E8U#YkqSfrnSdBtuurkL>H` 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a/src/content/docs/docs/profiling/labels.mdx b/src/content/docs/docs/profiling/labels.mdx index bd2ee4d5..95e11780 100644 --- a/src/content/docs/docs/profiling/labels.mdx +++ b/src/content/docs/docs/profiling/labels.mdx @@ -18,6 +18,8 @@ Once you've clicked a value on any card, a **"N filters active"** indicator and ## Reading a card +![image](./images/labels_screen.png) + Each card is one label key. It shows a mini chart of the selected profile type, scoped to whatever filters are already active — and the chips beneath it are that label's own values, click any one to add it as a filter. There's one deliberate exception: a label's own active filter is left out of *its own* chart, even though it's applied to every other card's chart. Filter on `region=us-east` and every other card's chart narrows to `us-east`, but the `region` card itself keeps showing all regions — otherwise selecting a value would collapse that one chart down to a single flat line, which defeats the point of using it to compare values. diff --git a/src/content/docs/docs/profiling/profile-types.mdx b/src/content/docs/docs/profiling/profile-types.mdx index d71d4f1d..405545af 100644 --- a/src/content/docs/docs/profiling/profile-types.mdx +++ b/src/content/docs/docs/profiling/profile-types.mdx @@ -15,6 +15,8 @@ If nothing's selected yet, the page shows an empty state prompting you to pick a ## Reading a card +![image](./images/profile_types_screen.png) + Each card is one profile type, showing its label and a mini time-series chart over the selected time range. Two links sit in the card's footer: - **Labels** — opens the [Labels](../labels/) view for this type, so you can break it down by resource attribute. From 4699870f170d43da13d38b9db98cf2f3b23483d0 Mon Sep 17 00:00:00 2001 From: Ansh Garhewal Date: Sun, 26 Jul 2026 23:11:07 +0530 Subject: [PATCH 33/39] docs(profiling): rename Diff page to Difference View "Diff" wasn't a declarative route name; renames diff.mdx to difference-view.mdx (title and route both) and embeds a screenshot of the merged/side-by-side toggle. --- .../{diff.mdx => difference-view.mdx} | 8 +++++--- .../docs/docs/profiling/images/diff_view.png | Bin 0 -> 203778 bytes 2 files changed, 5 insertions(+), 3 deletions(-) rename src/content/docs/docs/profiling/{diff.mdx => difference-view.mdx} (85%) create mode 100644 src/content/docs/docs/profiling/images/diff_view.png diff --git a/src/content/docs/docs/profiling/diff.mdx b/src/content/docs/docs/profiling/difference-view.mdx similarity index 85% rename from src/content/docs/docs/profiling/diff.mdx rename to src/content/docs/docs/profiling/difference-view.mdx index f26e06e4..a3f14213 100644 --- a/src/content/docs/docs/profiling/diff.mdx +++ b/src/content/docs/docs/profiling/difference-view.mdx @@ -1,11 +1,11 @@ --- -title: "Diff" +title: "Difference View" description: "Compare two time windows of the same service and profile type to see exactly what a deploy changed." sidebar: order: 6 --- -**Diff** compares two time windows of the same service and profile type — the view to reach for right after a deploy, a config change, or a traffic shift, when the question is "did that make things better or worse?" instead of "what does this look like right now?" +**Difference View** compares two time windows of the same service and profile type — the view to reach for right after a deploy, a config change, or a traffic shift, when the question is "did that make things better or worse?" instead of "what does this look like right now?" ## Set up the comparison @@ -20,6 +20,8 @@ Each panel has its own time-range picker, its own label filters, and its own min A toggle switches the bottom panel between two ways of looking at the same comparison. +![image](./images/diff_view.png) + ### Merged One flame graph, built from a single merged tree, colored by change: green frames got cheaper, red frames got more expensive, gray frames didn't move. 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guides under Guides Go/Java/Python/Node.js/Ruby/.NET/Rust setup steps lived as inline tabs on the profiling overview page, growing that page past what an overview needs and giving each language no page of its own to deep-link into. Moves them to guides/profiling/ (one page per language, plus an eBPF whole-host profiling option for anything not on the list), matching how guides/opentelemetry/ is already organized. The overview page now links out to Guides instead of hosting the setup content directly, and its ingest-endpoint and intro copy is brought up to date. --- src/content/docs/docs/profiling/index.mdx | 86 ++++---------------- src/content/docs/guides/profiling/_meta.json | 4 + src/content/docs/guides/profiling/dotnet.mdx | 46 +++++++++++ src/content/docs/guides/profiling/ebpf.mdx | 46 +++++++++++ src/content/docs/guides/profiling/go.mdx | 60 ++++++++++++++ src/content/docs/guides/profiling/index.mdx | 47 +++++++++++ src/content/docs/guides/profiling/java.mdx | 48 +++++++++++ src/content/docs/guides/profiling/nodejs.mdx | 49 +++++++++++ src/content/docs/guides/profiling/python.mdx | 47 +++++++++++ src/content/docs/guides/profiling/ruby.mdx | 53 ++++++++++++ src/content/docs/guides/profiling/rust.mdx | 62 ++++++++++++++ 11 files changed, 477 insertions(+), 71 deletions(-) create mode 100644 src/content/docs/guides/profiling/_meta.json create mode 100644 src/content/docs/guides/profiling/dotnet.mdx create mode 100644 src/content/docs/guides/profiling/ebpf.mdx create mode 100644 src/content/docs/guides/profiling/go.mdx create mode 100644 src/content/docs/guides/profiling/index.mdx create mode 100644 src/content/docs/guides/profiling/java.mdx create mode 100644 src/content/docs/guides/profiling/nodejs.mdx create mode 100644 src/content/docs/guides/profiling/python.mdx create mode 100644 src/content/docs/guides/profiling/ruby.mdx create mode 100644 src/content/docs/guides/profiling/rust.mdx diff --git a/src/content/docs/docs/profiling/index.mdx b/src/content/docs/docs/profiling/index.mdx index 7ace144b..86555c9d 100644 --- a/src/content/docs/docs/profiling/index.mdx +++ b/src/content/docs/docs/profiling/index.mdx @@ -20,19 +20,19 @@ Profiling has five views, reached from the segmented toggle at the top of the mo - **[Profile Types](./profile-types/)** is service-centric — once you pick a service, see every metric it profiles (CPU, heap, goroutines, and so on) side by side. - **[Labels](./labels/)** breaks a service's profiles down by the resource attributes your SDK attaches — region, pod, version — so you can filter down to the one that matters. - **[Flame Graph](./flame-graph/)** is where you find the hotspot: an interactive, zoomable flame graph plus a sortable function table for one service and profile type. -- **[Diff](./diff/)** compares two time windows of the same service and profile type — the view you reach for right after a deploy, to answer "did that change make things worse?" +- **[Difference View](./difference-view/)** compares two time windows of the same service and profile type — the view you reach for right after a deploy, to answer "did that change make things worse?" -Start on **All Services** to see what's reporting data, narrow to one service in **Profile Types** or **Labels**, then open **Flame Graph** to dig into a specific hotspot. Reach for **Diff** whenever you need a before/after comparison instead of a single snapshot. +Start on **All Services** to see what's reporting data, narrow to one service in **Profile Types** or **Labels**, then open **Flame Graph** to dig into a specific hotspot. Reach for **Difference View** whenever you need a before/after comparison instead of a single snapshot. ## Getting Started -KloudMate doesn't ship its own profiling agent — it speaks the [Pyroscope](https://grafana.com/oss/pyroscope/) ingest protocol, so any Pyroscope-compatible SDK can send data straight to your workspace. That covers Go, Python, Java, Ruby, .NET, and Rust. +KloudMate accepts profiling data in either Opentelemetry Profiles signal format or the Pyroscope format — data can be sent via KM Agent or directly via the ingest endpoint. But it would be beneficial if data is sent via KM Agent since agent attaches additional attributes that are helpful for RCA. Since [Pyroscope](https://grafana.com/oss/pyroscope/) ingestion is supported, any Pyroscope-compatible SDK can send data straight to your workspace. That covers Go, Python, Java, Ruby, .NET, and Rust. ### Get your ingest endpoint and API key You need two things before you touch any application code: -1. **The ingest endpoint**: `https://otel.kloudmate.com:4040` +1. **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` 2. **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. See [API Keys](../platform/settings/api-keys/) if you need the full walkthrough. ### Authenticate with Basic auth @@ -44,75 +44,19 @@ Pyroscope SDKs authenticate with HTTP Basic auth, where the **password** carries Most SDK configs expose this as two separate fields (`BasicAuthUser` / `BasicAuthPassword`, or similar). Fill in both — an empty username is a common way to get a silent 401. -### Configure the SDK +## Supported languages - - +KloudMate speaks the Pyroscope ingest protocol, so any Pyroscope-compatible SDK works. Each of these has its own dedicated setup guide with install, config, and verification steps: -```go -package main - -import "github.com/grafana/pyroscope-go" - -func main() { - pyroscope.Start(pyroscope.Config{ - ApplicationName: "my-service", - ServerAddress: "https://otel.kloudmate.com:4040", - BasicAuthUser: "KloudMate", - BasicAuthPassword: "YOUR_API_KEY", - ProfileTypes: []pyroscope.ProfileType{ - pyroscope.ProfileCPU, - pyroscope.ProfileAllocObjects, - pyroscope.ProfileAllocSpace, - pyroscope.ProfileInuseObjects, - pyroscope.ProfileInuseSpace, - }, - }) - - // the rest of your application -} -``` - - - - -```python -import pyroscope - -pyroscope.configure( - application_name="my-service", - server_address="https://otel.kloudmate.com:4040", - basic_auth_username="KloudMate", - basic_auth_password="YOUR_API_KEY", -) -``` - -Call `pyroscope.configure()` once, as early as possible — before you import or initialize the rest of your app. - - - - -The Java integration runs as a Java agent, configured through environment variables: - -```bash -export PYROSCOPE_APPLICATION_NAME=my-service -export PYROSCOPE_SERVER_ADDRESS=https://otel.kloudmate.com:4040 -export PYROSCOPE_BASIC_AUTH_USER=KloudMate -export PYROSCOPE_BASIC_AUTH_PASSWORD=YOUR_API_KEY - -java -javaagent:pyroscope.jar -jar my-app.jar -``` - -KloudMate ingests pprof-format profiles from the Pyroscope Java agent. It doesn't yet support profiles submitted in Java Flight Recorder (JFR) format — if your setup lets you choose the output format, pick pprof. - - - - -Swap `my-service` for a name that identifies this deployment, and `YOUR_API_KEY` for the key you copied above. For every other language the SDK supports, the pattern is the same: point `ServerAddress`/`server_address` at the endpoint above and pass your API key as the Basic auth password. - -### Confirm it's working - -Open **Profiling → All Services**, pick the profile type you configured (`cpu` is the default) from the dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. If it doesn't show up, double-check the username/password pair — a missing username is the most common cause of a silent failure. + + + + + + + + + ## Related diff --git a/src/content/docs/guides/profiling/_meta.json b/src/content/docs/guides/profiling/_meta.json new file mode 100644 index 00000000..9e9af091 --- /dev/null +++ b/src/content/docs/guides/profiling/_meta.json @@ -0,0 +1,4 @@ +{ + "label": "Profiling", + "order": 4 +} diff --git a/src/content/docs/guides/profiling/dotnet.mdx b/src/content/docs/guides/profiling/dotnet.mdx new file mode 100644 index 00000000..0921e9f8 --- /dev/null +++ b/src/content/docs/guides/profiling/dotnet.mdx @@ -0,0 +1,46 @@ +--- +title: ".NET" +description: "Send CPU and allocation profiles from a .NET service to KloudMate with the Pyroscope .NET profiler." +sidebar: + order: 7 +--- + +The [Pyroscope .NET profiler](https://github.com/grafana/pyroscope-dotnet) attaches to the CLR at process start and is configured entirely through environment variables — no code changes. + +## Prerequisites + +- **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` +- **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. + +## Install + +Download the profiler package for your OS from the [pyroscope-dotnet releases page](https://github.com/grafana/pyroscope-dotnet/releases) and install it alongside your application, or bake it into your container image. + +## Configure + +Set the following environment variables before your application starts: + +```bash +export CORECLR_ENABLE_PROFILING=1 +export CORECLR_PROFILER={BD1A650D-AC5D-4896-B64F-D6FA25D6B26A} +export CORECLR_PROFILER_PATH=/path/to/Pyroscope.Profiler.Native.so + +export PYROSCOPE_APPLICATION_NAME=my-service +export PYROSCOPE_SERVER_ADDRESS=https://otel.kloudmate.com/v1/profiles/pyroscope +export PYROSCOPE_BASIC_AUTH_USER=KloudMate +export PYROSCOPE_BASIC_AUTH_PASSWORD=YOUR_API_KEY +export PYROSCOPE_PROFILING_ENABLED=1 +``` + +Swap `my-service` for a name that identifies this deployment, `YOUR_API_KEY` for the key you copied above, and `CORECLR_PROFILER_PATH` for wherever you placed the native profiler library on this OS (`.so` on Linux, `.dll` on Windows, `.dylib` on macOS). + +## Verify it's working + +Open **Profiling → All Services**, select `cpu` from the profile type dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. + +If nothing shows up, double-check `PYROSCOPE_BASIC_AUTH_USER` is set — a missing username is the most common cause of a silent 401 — and confirm `CORECLR_ENABLE_PROFILING=1` is actually visible to the process (not just set in a shell that exited before launch). + +## Related + +- [Supported Languages](../) — every other SDK KloudMate accepts. +- [Flame Graph](/profiling/flame-graph/) — where this data ends up once it's flowing. diff --git a/src/content/docs/guides/profiling/ebpf.mdx b/src/content/docs/guides/profiling/ebpf.mdx new file mode 100644 index 00000000..d099736a --- /dev/null +++ b/src/content/docs/guides/profiling/ebpf.mdx @@ -0,0 +1,46 @@ +--- +title: "eBPF Profiler" +description: "Continuously profile CPU and memory usage of every process on a host, with no code changes, using the OpenTelemetry eBPF profiler." +sidebar: + order: 9 +--- + +The [OpenTelemetry eBPF profiler](https://github.com/open-telemetry/opentelemetry-ebpf-profiler) runs once per host and samples every process on it, not just one instrumented application. It's the option to reach for when a service isn't written in one of KloudMate's supported languages, or when you want whole-system visibility (including native binaries, statically linked Go, and other runtimes the SDKs above can't reach) without touching application code. + +## Prerequisites + +- A Linux host with a kernel new enough for eBPF (4.19+; 5.x recommended) and privileged access to load BPF programs (`CAP_SYS_ADMIN`/`CAP_BPF`, typically run as root or in a privileged container). +- **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` +- **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. + +## Install and run + +The project ships a container image, so the fastest path is running it directly with Docker. It needs `--privileged` (to attach eBPF programs) and `--pid=host` (to see every process on the host, not just its own container): + +```bash +docker run --privileged --pid=host \ + -v /sys/kernel/debug:/sys/kernel/debug:ro \ + otel/opentelemetry-ebpf-profiler:latest \ + -collection-agent=https://otel.kloudmate.dev/v1/profiles/pyroscope \ + -secret-token=YOUR_API_KEY \ + -environment=my-environment +``` + +Swap `YOUR_API_KEY` for the key you copied above, and `my-environment` for a name that identifies this host or cluster. + +To run it on every node of a Kubernetes cluster instead of a single host, deploy it as a DaemonSet — the repo's [deploy directory](https://github.com/open-telemetry/opentelemetry-ebpf-profiler/tree/main/deploy) has Kubernetes manifests to start from. + +:::note +This project moves fast and its CLI flags have changed across releases. Treat the flags above as a starting point and check the [repository's README](https://github.com/open-telemetry/opentelemetry-ebpf-profiler#readme) for the exact flags your installed version expects. +::: + +## Verify it's working + +Open **Profiling → All Services**, select `cpu` from the profile type dropdown, and give it a minute. The host (or one of the processes running on it) appears as a service with a live chart as soon as the first samples land. + +If nothing shows up, confirm the container actually started — a missing `--privileged` flag or an unreadable `/sys/kernel/debug` mount fails at eBPF-program load time, before it ever tries to reach KloudMate. + +## Related + +- [Supported Languages](../) — per-language SDKs, if you'd rather profile one application than a whole host. +- [Flame Graph](/profiling/flame-graph/) — where this data ends up once it's flowing. diff --git a/src/content/docs/guides/profiling/go.mdx b/src/content/docs/guides/profiling/go.mdx new file mode 100644 index 00000000..5886a9dc --- /dev/null +++ b/src/content/docs/guides/profiling/go.mdx @@ -0,0 +1,60 @@ +--- +title: "Go" +description: "Send CPU and heap profiles from a Go service to KloudMate with pyroscope-go." +sidebar: + order: 2 +--- + +[pyroscope-go](https://github.com/grafana/pyroscope-go) is Grafana's official Go SDK for continuous profiling. It samples CPU on-CPU time and, optionally, heap allocations, then pushes them straight to KloudMate's ingest endpoint. + +## Prerequisites + +- **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` +- **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. + +## Install + +```bash +go get github.com/grafana/pyroscope-go +``` + +## Configure + +Call `pyroscope.Start` once, as early as possible in `main()`: + +```go +package main + +import "github.com/grafana/pyroscope-go" + +func main() { + pyroscope.Start(pyroscope.Config{ + ApplicationName: "my-service", + ServerAddress: "https://otel.kloudmate.com/v1/profiles/pyroscope", + BasicAuthUser: "KloudMate", + BasicAuthPassword: "YOUR_API_KEY", + ProfileTypes: []pyroscope.ProfileType{ + pyroscope.ProfileCPU, + pyroscope.ProfileAllocObjects, + pyroscope.ProfileAllocSpace, + pyroscope.ProfileInuseObjects, + pyroscope.ProfileInuseSpace, + }, + }) + + // the rest of your application +} +``` + +Swap `my-service` for a name that identifies this deployment, and `YOUR_API_KEY` for the key you copied above. Drop any `ProfileType` you don't want reported — CPU alone is enough to get started. + +## Verify it's working + +Open **Profiling → All Services**, select `cpu` from the profile type dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. + +If nothing shows up, check that `BasicAuthUser` is set to the literal string `KloudMate` — a missing username is the most common cause of a silent 401. + +## Related + +- [Supported Languages](../) — every other SDK KloudMate accepts. +- [Flame Graph](/profiling/flame-graph/) — where this data ends up once it's flowing. diff --git a/src/content/docs/guides/profiling/index.mdx b/src/content/docs/guides/profiling/index.mdx new file mode 100644 index 00000000..37499caa --- /dev/null +++ b/src/content/docs/guides/profiling/index.mdx @@ -0,0 +1,47 @@ +--- +title: "Supported Languages" +description: "Every language and runtime KloudMate's Profiling module can ingest profiles from, and where to find the exact SDK setup for each one." +sidebar: + order: 1 + label: "Overview" +--- + +import { CardGrid, LinkCard } from '@astrojs/starlight/components'; + +KloudMate doesn't ship its own profiling agent — it speaks the [Pyroscope](https://grafana.com/oss/pyroscope/) ingest protocol at `https://otel.kloudmate.com/v1/profiles/pyroscope`, authenticated with Basic auth (`KloudMate` as the username, your Ingest API key as the password). Any Pyroscope-compatible SDK works out of the box; pick your language below for the exact install and config steps. + + + + + + + + + + + + +## Which profile types you get + +Every SDK reports CPU (wall or on-CPU time, depending on the runtime); several also report memory. The exact set shows up in [Profile Types](/profiling/profile-types/) once your service has sent its first batch: + +| Language | CPU | Memory | +|---|---|---| +| Go | ✅ | ✅ (heap) | +| Java | ✅ | ✅ (alloc, via async-profiler) | +| Python | ✅ | ✅ (if built with tracemalloc support) | +| Node.js | ✅ | ✅ (heap) | +| Ruby | ✅ | — | +| .NET | ✅ | ✅ (alloc) | +| Rust | ✅ | — | + +## Not on this list? + +If your language isn't here, check whether it has its own community Pyroscope SDK, or run the [eBPF profiler](./ebpf/) instead — it samples any process on the host without touching application code, at the cost of function-level (not line-level) detail. + +## Related + + + + + diff --git a/src/content/docs/guides/profiling/java.mdx b/src/content/docs/guides/profiling/java.mdx new file mode 100644 index 00000000..b196b141 --- /dev/null +++ b/src/content/docs/guides/profiling/java.mdx @@ -0,0 +1,48 @@ +--- +title: "Java" +description: "Send CPU and allocation profiles from a JVM service to KloudMate with the Pyroscope Java agent." +sidebar: + order: 3 +--- + +The Pyroscope Java integration runs as a [Java agent](https://github.com/grafana/pyroscope-java) built on [async-profiler](https://github.com/async-profiler/async-profiler), attached at JVM startup and configured entirely through environment variables — no code changes. + +## Prerequisites + +- **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` +- **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. + +## Install + +Download the agent jar from the [pyroscope-java releases page](https://github.com/grafana/pyroscope-java/releases) and place it alongside your application, or bake it into your container image. + +## Configure + +Set the following environment variables, then launch your JVM with the `-javaagent` flag: + +```bash +export PYROSCOPE_APPLICATION_NAME=my-service +export PYROSCOPE_SERVER_ADDRESS=https://otel.kloudmate.com/v1/profiles/pyroscope +export PYROSCOPE_BASIC_AUTH_USER=KloudMate +export PYROSCOPE_BASIC_AUTH_PASSWORD=YOUR_API_KEY +export PYROSCOPE_FORMAT=collapsed + +java -javaagent:pyroscope.jar -jar my-app.jar +``` + +Swap `my-service` for a name that identifies this deployment, and `YOUR_API_KEY` for the key you copied above. + +:::note +The Pyroscope Java agent defaults to Java Flight Recorder (JFR) output, which KloudMate doesn't ingest yet. Set `PYROSCOPE_FORMAT=collapsed` explicitly, as shown above, so the agent submits collapsed-stack profiles instead. +::: + +## Verify it's working + +Open **Profiling → All Services**, select `cpu` from the profile type dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. + +If nothing shows up, double-check `PYROSCOPE_BASIC_AUTH_USER` is set — a missing username is the most common cause of a silent 401. + +## Related + +- [Supported Languages](../) — every other SDK KloudMate accepts. +- [Flame Graph](/profiling/flame-graph/) — where this data ends up once it's flowing. diff --git a/src/content/docs/guides/profiling/nodejs.mdx b/src/content/docs/guides/profiling/nodejs.mdx new file mode 100644 index 00000000..82d4e642 --- /dev/null +++ b/src/content/docs/guides/profiling/nodejs.mdx @@ -0,0 +1,49 @@ +--- +title: "Node.js" +description: "Send CPU and heap profiles from a Node.js service to KloudMate with @pyroscope/nodejs." +sidebar: + order: 5 +--- + +[@pyroscope/nodejs](https://github.com/grafana/pyroscope-nodejs) is Grafana's official Node.js SDK for continuous profiling. It wraps V8's own profiler and pushes samples straight to KloudMate's ingest endpoint. + +## Prerequisites + +- **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` +- **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. + +## Install + +```bash +npm install @pyroscope/nodejs +``` + +## Configure + +Call `Pyroscope.init()` and `Pyroscope.start()` once, as early as possible in your entrypoint: + +```js +const Pyroscope = require('@pyroscope/nodejs'); + +Pyroscope.init({ + appName: 'my-service', + serverAddress: 'https://otel.kloudmate.com/v1/profiles/pyroscope', + basicAuthUser: 'KloudMate', + basicAuthPassword: 'YOUR_API_KEY', +}); + +Pyroscope.start(); +``` + +Swap `my-service` for a name that identifies this deployment, and `YOUR_API_KEY` for the key you copied above. + +## Verify it's working + +Open **Profiling → All Services**, select `wall` (or `cpu`, depending on your version) from the profile type dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. + +If nothing shows up, check that `basicAuthUser` is set to the literal string `KloudMate` — a missing username is the most common cause of a silent 401. + +## Related + +- [Supported Languages](../) — every other SDK KloudMate accepts. +- [Flame Graph](/profiling/flame-graph/) — where this data ends up once it's flowing. diff --git a/src/content/docs/guides/profiling/python.mdx b/src/content/docs/guides/profiling/python.mdx new file mode 100644 index 00000000..9987f815 --- /dev/null +++ b/src/content/docs/guides/profiling/python.mdx @@ -0,0 +1,47 @@ +--- +title: "Python" +description: "Send CPU profiles from a Python service to KloudMate with pyroscope-io." +sidebar: + order: 4 +--- + +[pyroscope-io](https://github.com/grafana/pyroscope-python) is Grafana's official Python SDK for continuous profiling. It samples on-CPU time and pushes profiles straight to KloudMate's ingest endpoint. + +## Prerequisites + +- **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` +- **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. + +## Install + +```bash +pip install pyroscope-io +``` + +## Configure + +Call `pyroscope.configure()` once, as early as possible — before you import or initialize the rest of your app: + +```python +import pyroscope + +pyroscope.configure( + application_name="my-service", + server_address="https://otel.kloudmate.com/v1/profiles/pyroscope", + basic_auth_username="KloudMate", + basic_auth_password="YOUR_API_KEY", +) +``` + +Swap `my-service` for a name that identifies this deployment, and `YOUR_API_KEY` for the key you copied above. + +## Verify it's working + +Open **Profiling → All Services**, select `cpu` from the profile type dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. + +If nothing shows up, check that `basic_auth_username` is set to the literal string `KloudMate` — a missing username is the most common cause of a silent 401. + +## Related + +- [Supported Languages](../) — every other SDK KloudMate accepts. +- [Flame Graph](/profiling/flame-graph/) — where this data ends up once it's flowing. diff --git a/src/content/docs/guides/profiling/ruby.mdx b/src/content/docs/guides/profiling/ruby.mdx new file mode 100644 index 00000000..cf83096b --- /dev/null +++ b/src/content/docs/guides/profiling/ruby.mdx @@ -0,0 +1,53 @@ +--- +title: "Ruby" +description: "Send CPU profiles from a Ruby service to KloudMate with the pyroscope gem." +sidebar: + order: 6 +--- + +The [pyroscope](https://github.com/grafana/pyroscope-rb) gem is Grafana's official Ruby SDK for continuous profiling. It samples on-CPU time and pushes profiles straight to KloudMate's ingest endpoint. + +## Prerequisites + +- **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` +- **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. + +## Install + +```bash +gem install pyroscope +``` + +Or add it to your `Gemfile`: + +```ruby +gem 'pyroscope' +``` + +## Configure + +Call `Pyroscope.configure` once, as early as possible in your boot sequence: + +```ruby +require 'pyroscope' + +Pyroscope.configure do |config| + config.application_name = 'my-service' + config.server_address = 'https://otel.kloudmate.com/v1/profiles/pyroscope' + config.basic_auth_username = 'KloudMate' + config.basic_auth_password = 'YOUR_API_KEY' +end +``` + +Swap `my-service` for a name that identifies this deployment, and `YOUR_API_KEY` for the key you copied above. + +## Verify it's working + +Open **Profiling → All Services**, select `cpu` from the profile type dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. + +If nothing shows up, check that `basic_auth_username` is set to the literal string `KloudMate` — a missing username is the most common cause of a silent 401. + +## Related + +- [Supported Languages](../) — every other SDK KloudMate accepts. +- [Flame Graph](/profiling/flame-graph/) — where this data ends up once it's flowing. diff --git a/src/content/docs/guides/profiling/rust.mdx b/src/content/docs/guides/profiling/rust.mdx new file mode 100644 index 00000000..91bd0f98 --- /dev/null +++ b/src/content/docs/guides/profiling/rust.mdx @@ -0,0 +1,62 @@ +--- +title: "Rust" +description: "Send CPU profiles from a Rust service to KloudMate with the pyroscope crate and a pprof-rs backend." +sidebar: + order: 8 +--- + +The [pyroscope](https://github.com/grafana/pyroscope-rs) crate is Grafana's official Rust SDK for continuous profiling, paired with the [pyroscope_pprofrs](https://crates.io/crates/pyroscope_pprofrs) backend for CPU sampling. + +## Prerequisites + +- **The ingest endpoint**: `https://otel.kloudmate.com/v1/profiles/pyroscope` +- **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. + +## Install + +Add both crates to `Cargo.toml`: + +```toml +[dependencies] +pyroscope = "0.5" +pyroscope_pprofrs = "0.2" +``` + +## Configure + +Build and start the agent as early as possible in `main()`: + +```rust +use pyroscope::PyroscopeAgent; +use pyroscope_pprofrs::{pprof_backend, PprofConfig}; + +fn main() -> Result<(), Box> { + let pprof_config = PprofConfig::new().sample_rate(100); + let backend_impl = pprof_backend(pprof_config); + + let agent = PyroscopeAgent::builder("https://otel.kloudmate.com/v1/profiles/pyroscope", "my-service") + .backend(backend_impl) + .basic_auth("KloudMate", "YOUR_API_KEY") + .build()?; + + let agent_running = agent.start()?; + + // the rest of your application + + agent_running.stop()?; + Ok(()) +} +``` + +Swap `my-service` for a name that identifies this deployment, and `YOUR_API_KEY` for the key you copied above. + +## Verify it's working + +Open **Profiling → All Services**, select `cpu` from the profile type dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. + +If nothing shows up, check that the first `basic_auth` argument is the literal string `KloudMate` — a missing username is the most common cause of a silent 401. + +## Related + +- [Supported Languages](../) — every other SDK KloudMate accepts. +- [Flame Graph](/profiling/flame-graph/) — where this data ends up once it's flowing. 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In the **Create Alert** dialog, select **Using AI**. 2. A text box appears. Describe the alert you want to create. + +![Using AI prompt](./images/using-ai-prompt.png) + 3. Click **Create Alert**. KloudMate generates the alert configuration based on your description. 4. To review or adjust the settings, click the menu next to the alert and select **Edit**. @@ -176,7 +179,7 @@ Two top-level fields and one section: The Notifications step covers how this alert flows into the grouping engine. KloudMate replaced free-form notification tags with **labels** that routing rules match on: -- **Labels** are auto-derived from query dimensions, the alert rule's folder, and a small set of system keys. You don't enter them by hand. +- **Labels** — Key/value pairs attached to every signal this alert emits. Add them with **Add label**; the list can also be left empty. 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b/src/content/docs/docs/network-monitoring/index.mdx @@ -0,0 +1,56 @@ +--- +title: "Network Monitoring" +description: "Monitor SNMP devices, site reachability, and traffic flow across your network with the KloudMate Agent." +sidebar: + label: "Overview" + order: 0 +--- + +Network monitoring watches the routers, switches, firewalls, access points, and PDUs that carry your traffic, all from one **Network** page. You poll them over SNMP for health and interface metrics, check reachability for the sites that can't speak SNMP, and read the application traffic mix from NetFlow or sFlow. + +A Linux or Docker [KloudMate Agent](/kloudmate-agent/) does the collecting. It polls devices over the network, so one agent can watch an entire site, and nothing gets installed on the devices themselves. + +:::note +Network monitoring runs on Linux and Docker agents only. Kubernetes agents can't poll SNMP, run reachability checks, or listen for flow data. +::: + +## What you can monitor + +- **SNMP devices**: interface throughput and errors, CPU, memory, uptime, and vendor-specific health. Built-in profiles cover Cisco, Juniper, Arista, HPE, Aruba, Dell, Fortinet, Palo Alto, MikroTik, F5, APC, and many more. +- **Sites without SNMP**: a gateway-and-internet ping pair that shows whether the local network is up and whether the ISP link is working. +- **Traffic flow**: the per-application byte and packet mix on a link, from NetFlow, IPFIX, or sFlow exporters. +- **Routing and links**: BGP peers, MPLS L3VPN VRFs, IP SLA probes, and LLDP/CDP topology, once you turn those capabilities on. + +## The Network page + +Open **Network** from the sidebar. It has five tabs: + +| Tab | What it shows | +|---|---| +| **Overview** | Network-wide health: problem tiles, a live problems feed, and a status board grouped by site, role, or vendor. | +| **All devices** | The full, searchable table of SNMP devices with their current status and last-seen time. | +| **Reachability** | Ping results for sites monitored without SNMP. | +| **Traffic** | The application traffic mix from your flow listeners. | +| **Topology** | A link map drawn from LLDP and CDP neighbour data. | + +You land on the Overview tab. For how to read each surface, see [Using the Network page](/network-monitoring/network-page/). + +![The Network Overview tab: problem tiles across the top, a Current problems feed, and a status board of site cards each showing a healthy-over-total count](./images/network-overview.png) + +## Set it up + +Everything is configured from the Network page. There are no collector files to hand-edit. Use the **Add** menu in the top-right: + +- [Add SNMP devices](/network-monitoring/monitoring-snmp/): poll known devices with the guided wizard. +- [Discover devices](/network-monitoring/discover-devices/): scan IP ranges and monitor what answers. +- [Monitor sites without SNMP](/network-monitoring/reachability-checks/): add gateway and internet ping checks. +- [Flow monitoring](/network-monitoring/flow-monitoring/): listen for NetFlow, IPFIX, or sFlow. + +To change or remove anything later, open **Configure**. See [Manage and troubleshoot](/network-monitoring/manage-troubleshoot/). + +## Before you start + +- A KloudMate Agent running on a Linux host or in Docker, with network access to the devices or sites you want to watch. If you don't have one yet, install the [Linux agent](/kloudmate-agent/installation/linux-agent/) or [Docker agent](/kloudmate-agent/installation/docker-agent/). +- SNMP enabled on each device (v1, v2c, or v3), and the agent host's IP address allowed in the device's SNMP access list. + +Once data starts flowing, use [Explore](/visualize-data/explore/) for ad hoc queries, [Dashboards](/visualize-data/dashboards/) for curated views, and [Alerts](/alerts/create-alerts/) to get notified when something goes down. diff --git a/src/content/docs/docs/network-monitoring/manage-troubleshoot.mdx b/src/content/docs/docs/network-monitoring/manage-troubleshoot.mdx new file mode 100644 index 00000000..5d3f098d --- /dev/null +++ b/src/content/docs/docs/network-monitoring/manage-troubleshoot.mdx @@ -0,0 +1,52 @@ +--- +title: "Manage and Troubleshoot Network Monitoring" +description: "Edit, disable, or remove network monitoring, and fix devices that aren't reporting in KloudMate." +sidebar: + label: "Manage & troubleshoot" + order: 6 +--- + +SNMP devices, ping probes, flow listeners, and discovery scans are all managed from one place. This page covers changing what you've configured and fixing the common reasons a device isn't reporting. + +## Manage what's configured + +On the **Network** page, select **Configure**. Pick a collector agent to see everything it's set to monitor, grouped by kind: **SNMP device**, **Ping probe**, **Flow monitoring**, and **Discovery**. For any entry you can: + +- **Enable or disable** it. Disabling stops the polling without deleting the configuration, so you can turn it back on later. +- **Edit** it to change credentials, targets, capabilities, ports, or scan ranges. +- **Remove** it. + +![The Configure drawer, Configured network monitoring, listing ping, discovery, and flow entries with per-row enable toggles and edit and delete controls](./images/configure-integrations.png) + +Enabling and disabling take effect on their own. Any edit that changes what the agent polls, and any add or remove, briefly restarts data collection on that agent, so expect a short gap in that poller's telemetry. + +## An SNMP device won't report + +If a device stays **Down** or never appears on the **All devices** tab, work down this list: + +1. **Reachability**: the agent host must have a network path to the device on UDP port 161. Check firewalls and routing between them. +2. **Credentials**: confirm the community string (v1/v2c) or v3 user, and that the version matches what the device expects. A v2c community won't authenticate against a v3-only device. +3. **SNMP access list**: many devices restrict SNMP by source IP. Add the agent host's address to the device's allowed list, or no metrics come back even when everything else is correct. +4. **Agent placement**: network monitoring runs on Linux and Docker agents only. A Kubernetes agent is rejected for SNMP, ping, flow, and discovery. +5. **SNMP enabled**: confirm the SNMP service is actually running on the device. + +## A device shows "Not reporting" + +**Not reporting** means data stopped arriving, which isn't the same as the device being down. Two things cause it: + +- The **poller** is offline. Check the Overview for a poller-not-reporting banner. If the agent stopped sending its heartbeat, every device it watches goes stale until it comes back. +- The device genuinely stopped responding and its last data aged out. Confirm reachability and credentials as above. + +Discovery is sticky, so a device found by a scan stays listed even after it stops answering. That's deliberate, so you don't lose sight of it. + +## A reachability check won't run + +The gateway probe uses ICMP, which needs `CAP_NET_RAW` or root on the agent host. Running the agent in Docker without `--cap-add=NET_RAW` is the usual cause of a gateway probe that never reports. The internet probe uses TCP and doesn't need that permission, so if only the gateway probe is failing, check ICMP privilege first. See [Monitor sites without SNMP](/network-monitoring/reachability-checks/). + +## Flow monitoring shows no traffic + +- Confirm each device's flow export points at the agent's IP and the **listener port** you configured (`2055` for NetFlow, `6343` for sFlow by default). +- Check that the device is actually exporting flows and that sampling isn't set so aggressively that little arrives. +- NetFlow and sFlow need separate listeners on separate ports. A device exporting sFlow to a NetFlow listener won't be understood. + +If a device is reachable but a specific metric is missing, check that the matching capability is on. BGP, MPLS L3VPN, LLDP, and IP SLA metrics only appear when you enable those capabilities on the device in the [SNMP wizard](/network-monitoring/monitoring-snmp/). diff --git a/src/content/docs/docs/network-monitoring/monitoring-snmp.mdx b/src/content/docs/docs/network-monitoring/monitoring-snmp.mdx new file mode 100644 index 00000000..4cb3f77f --- /dev/null +++ b/src/content/docs/docs/network-monitoring/monitoring-snmp.mdx @@ -0,0 +1,95 @@ +--- +title: "Add SNMP Devices" +description: "Poll routers, switches, firewalls, and other SNMP devices with the KloudMate Agent using the guided wizard." +sidebar: + label: "Add SNMP devices" + order: 1 +--- + +Add SNMP devices when you already know the addresses you want to poll, such as a core switch, an edge router, a firewall, or a rack PDU. The **Add SNMP devices** wizard walks you through picking an agent, listing targets, entering credentials, and choosing a device profile. From there the agent polls each device on a schedule and reports its metrics to KloudMate. + +To sweep a subnet and monitor whatever answers instead, use [Discover devices](/network-monitoring/discover-devices/). + +## Before you start + +- A KloudMate Agent running on a **Linux host or in Docker**, with network access to the devices. Kubernetes agents can't poll SNMP. Install the [Linux agent](/kloudmate-agent/installation/linux-agent/) or [Docker agent](/kloudmate-agent/installation/docker-agent/) if you don't have one. +- SNMP enabled on each device, with a community string (v1/v2c) or a v3 USM user. +- The agent host's IP address allowed in the device's SNMP access list. If the device restricts SNMP by source IP and the agent isn't on the list, no metrics come back. +- UDP port 161 reachable from the agent to each device (the SNMP default). + +## Open the wizard + +On the **Network** page, open the **Add** menu and choose **SNMP device**. The wizard has six steps. + +![Step 1 of the Add SNMP devices wizard, showing the six-step progress bar and the Collector Agent dropdown](./images/snmp-wizard-collector-agent.png) + +### 1. Collector Agent + +Pick the Linux or Docker agent that will poll the devices. It needs a network path to every target in this batch. The list shows only eligible agents. If it's empty, install one first from the link in the step. + +### 2. Targets + +List the devices to poll. Paste one target per line into the box, using an IP, a CIDR block, a last-octet range, or a hostname. Then select **Expand & add** to turn them into rows: + +```text +10.0.0.1 +10.0.10.0/24 +10.0.1.1-50 +core-sw-01.example.com +``` + +Each row takes an endpoint and a credential. Leave the credential set to **Default** to use the profile you mark as default in the next step, or pick a specific one per device. + +### 3. Credentials + +Create one or more **credential profiles** that your targets reference, so devices that share a community or v3 user reuse the same entry. + +- **v1 or v2c**: enter the **community string**. +- **v3 (USM)**: enter a **username** and **security level** (`noAuthNoPriv`, `authNoPriv`, or `authPriv`). For `authNoPriv` and `authPriv`, choose an **auth protocol** (MD5, SHA, SHA224, SHA256, SHA384, or SHA512) and password. For `authPriv`, also choose a **priv protocol** (DES, AES, AES192, or AES256) and password. + +You enter these values directly. Mark one profile as the default for new targets. + +![The Credentials step with a credential profile: profile name, SNMP version, and community string fields, plus a default-credential selector](./images/snmp-wizard-credentials.png) + +### 4. Profile + +A device profile decides which tables the agent walks and what metrics it emits. Choose how to match one: + +- **Auto-detect** (recommended): the agent reads the device's `sysObjectID` and picks the matching vendor profile. This covers most Cisco, Juniper, Arista, HPE, Aruba, Dell, Fortinet, MikroTik, F5, and APC gear out of the box. +- **Pick from catalog**: choose a specific profile by name. +- **Custom**: name a profile you've defined. + +![The Profile step with the Auto-detect, Pick from catalog, and Custom options, and the optional Extra capabilities checkboxes for BGP peers, MPLS L3VPN, LLDP neighbours, and IP SLA](./images/snmp-wizard-profile.png) + +#### Extra capabilities + +Under **Extra capabilities (optional)**, turn on tables that only matter for routers and layer-3 devices. Leave them off for plain hosts and switches, where they add polling work with no benefit. + +| Capability | What it collects | +|---|---| +| **BGP peers** | Peer state per neighbour, for edge and ISP routers. | +| **MPLS L3VPN** | VRF operational status and route counts. | +| **LLDP neighbours** | Link-layer neighbour and port data, which feeds the [Topology](/network-monitoring/network-page/) map. | +| **IP SLA** | Cisco IP SLA reachability probes, for per-WAN ISP verdicts. | + +### 5. Tags + +Add key-value tags such as `site`, `group`, or `role`, or anything you use to organize devices. They apply to every device in this batch and drive the filtering and grouping on the Network page. Grouping the Overview status board by `site` or `role`, for example, only works if your devices carry that tag. + +### 6. Review & apply + +Check the staged devices, then select **Apply configuration**. Saving briefly restarts data collection on that agent, so the wizard batches every device in the run and applies them together to keep the interruption short. + +## What you get + +Within a few minutes the devices appear on the **All devices** tab with an **Up** status, and their metrics are queryable. The agent emits, per interface: + +- `snmp_interface_in_octets`, `snmp_interface_out_octets`: throughput in bytes +- `snmp_interface_in_errors`, `snmp_interface_out_errors` +- `snmp_interface_in_discards`, `snmp_interface_out_discards` +- `snmp_interface_oper_status`, `snmp_interface_admin_status` (`2` means down) +- `snmp_interface_speed` + +Per device, you get `snmp_device_uptime`, `snmp_cpu_usage`, and `snmp_memory_usage` (plus `snmp_memory_used`, `_free`, and `_total`). The agent's own reachability check is `km_snmp_up`, which reads `1` when the device answers and `0` when it doesn't. Turn on capabilities and you also get `snmp_bgp_peer_state`, `snmp_mpls_l3vpn_vrf_oper_status`, `snmp_isp_reachability`, and related metrics. + +If a device stays **Down** or never appears, work through the checklist in [Manage and troubleshoot](/network-monitoring/manage-troubleshoot/). diff --git a/src/content/docs/docs/network-monitoring/network-page.mdx b/src/content/docs/docs/network-monitoring/network-page.mdx new file mode 100644 index 00000000..188f8f26 --- /dev/null +++ b/src/content/docs/docs/network-monitoring/network-page.mdx @@ -0,0 +1,79 @@ +--- +title: "Using the Network Page" +description: "Read the Overview, drill into devices, and understand device statuses on the KloudMate Network page." +sidebar: + label: "Using the Network page" + order: 5 +--- + +Once devices are reporting, the **Network** page is where you watch them. It opens on an Overview built to answer one question fast: is anything wrong, and where? From there you can drill into any device. This page explains how to read each surface. + +## Overview tab + +The Overview leads with problems, not a wall of devices. + +**Health tiles** across the top count the current problems by kind: + +- **Devices down** +- **Uplinks / ISP down** +- **BGP / VRF down** +- **Interfaces errored** + +Selecting a tile filters the feed below to that category. + +The **Current problems** feed lists active issues, worst first, one row per affected device. A device with several faults collapses into a single row with its most severe problem as the headline. Each row links to the device drawer. + +The **status board** groups your devices into cards. Switch the grouping between **Site**, **Role**, and **Vendor**. Each card takes the worst status among its devices and shows a `healthy / total` count, so you see both the state and how much is affected at a glance. Problem groups float to the top, and healthy groups collapse. + +![The Overview tab with the Devices down / Uplinks / BGP-VRF / Interfaces errored tiles, a Current problems row marked Critical, and status-board cards grouped by site](./images/network-overview.png) + +## Device statuses + +Status appears as a color, a label, and an icon throughout the page: + +| Status | Meaning | +|---|---| +| **Up** | The device is reachable and reporting. | +| **Down** | A reachability check failed; the device didn't answer. | +| **Not reporting** | The device stopped sending data. It's still listed, with "last seen X ago." | +| **Warning** | The device is up but has an active issue, such as an errored interface. | +| **Unknown** | Status can't be determined. | + +**Not reporting** and **Down** are different on purpose. Down means the agent polled the device and got no answer. Not reporting means the data itself stopped arriving, often because the agent that polls it is offline rather than because the device is. + +That distinction drives the **poller-not-reporting banner**. If a collector agent stops sending its heartbeat, the Overview shows a banner naming the affected poller instead of marking every device it watched as down. Device status under that agent may be stale until it reports again. + +## All devices tab + +**All devices** is the flat, searchable table, the drill view for power users. Filter by vendor, site, or status, sort by any column, and read each device's current status and **Last seen** time. A device that stopped reporting stays in the table as **Not reporting** rather than disappearing. + +![The All devices tab: summary tiles for Devices, Up, Down, Not reporting, and Sites above a table of devices with vendor, site, address, status, and last-seen columns](./images/all-devices.png) + +## Reachability and Traffic tabs + +- **Reachability** shows the ping results for sites monitored without SNMP. See [Monitor sites without SNMP](/network-monitoring/reachability-checks/). +- **Traffic** shows the application traffic mix from your flow listeners. See [Flow monitoring](/network-monitoring/flow-monitoring/). + +## Topology tab + +The **Topology** tab draws a link map from LLDP and CDP neighbour data. Devices are nodes, neighbour links are edges, and both use the same status colors as the Overview. A down endpoint reddens its links so the fault path stands out. + +![The Topology tab showing a monitored Chennai device linked to two unmonitored neighbour nodes, with a status legend for up, down, not reporting, and unmonitored](./images/topology.png) + +Topology needs the **LLDP neighbours** capability turned on for a device, either in the [SNMP wizard](/network-monitoring/monitoring-snmp/) or by editing the device under **Configure**. Until then the map is empty. It's a secondary view for locating a fault, not the place you start. + +## Device drawer + +Selecting a device opens its drawer, with tabs that depend on what the device reports: + +- **Overview**: status, uptime, CPU and memory, and the device's active issues. +- **Interfaces**: every interface with its operational state, sorted so down ports surface first. Admin-disabled ports are marked as disabled, not counted as faults. +- **Routing**: BGP peers, MPLS L3VPN VRFs, and IP SLA results. This tab appears only when the device has those capabilities enabled. +- **Traffic**: the application mix this device exports, when flow monitoring is set up. +- **Tags**: the site, role, and other tags on the device. + +![The device drawer Overview tab: an interfaces up/down/disabled summary, an active-issues list, and stat tiles for uptime, CPU, memory, and traffic](./images/device-drawer-overview.png) + +![The device drawer Interfaces tab: a table of interfaces with status, IP, speed, throughput, utilization, and errors, sorted with down ports first](./images/device-drawer-interfaces.png) + +The page auto-refreshes and stamps how long ago it updated, so you're always reading a recent picture. diff --git a/src/content/docs/docs/network-monitoring/reachability-checks.mdx b/src/content/docs/docs/network-monitoring/reachability-checks.mdx new file mode 100644 index 00000000..cc4d7e41 --- /dev/null +++ b/src/content/docs/docs/network-monitoring/reachability-checks.mdx @@ -0,0 +1,49 @@ +--- +title: "Monitor Sites Without SNMP" +description: "Watch sites where the router can't speak SNMP using gateway and internet reachability checks." +sidebar: + label: "Sites without SNMP" + order: 3 +--- + +Not every site has a device you can poll. A branch office might sit behind a consumer router or a cheap gateway that doesn't support SNMP. For those sites, add a **reachability check**: a pair of ping probes that tell you whether the local network is up and whether the internet connection is working. + +## How the two probes split the problem + +A reachability check runs two probes from the agent: + +- **Gateway probe**: an ICMP ping to the site's LAN gateway. It answers "is the local network up?" +- **Internet probe**: a TCP connection to a public host. It answers "is the ISP link working?" + +Read together, the two probes tell you where a fault is. Gateway up and internet down points at the ISP or the WAN link, not the local network. Both down points at the site itself: power, the gateway, or the agent's own connectivity. + +## Before you start + +- A Linux or Docker KloudMate Agent that can reach the site's gateway and the public internet. +- For the gateway probe, ICMP permission on the agent host. ICMP needs `CAP_NET_RAW` or root, so add `--cap-add=NET_RAW` when running the agent in Docker. The internet probe uses TCP and works without extra privileges. + +## Add a reachability check + +On the **Network** page, open the **Add** menu and choose **Reachability check**: + +- **Site name**: a label such as `hotel-blr-01`. It applies to both probes so they group under one site. +- **Gateway IP**: the LAN gateway address to ping, for example `192.168.1.1`. +- **Public host:port**: a reliable public endpoint to connect to, for example `1.1.1.1:443`. A successful connection means the internet path is working. + +Saving adds both probes and briefly restarts data collection on the agent. + +![The Add a reachability check form with a collector agent, a site name, a gateway probe IP, and an internet probe host and port](./images/add-reachability-check.png) + +## Where results show up + +Open the **Reachability** tab on the Network page. Each probe is a row with its endpoint, site, role (gateway or internet), protocol, round-trip time, packet loss, status, and when it was last seen. Summary tiles at the top count how many checks are up, down, and not reporting. + +![The Reachability tab listing gateway and internet probes with their site, role, protocol, RTT, packet loss, and status](./images/reachability-tab.png) + +The agent emits three metrics per probe: + +- `km_ping_up`: `1` when the target is reachable, `0` when it isn't +- `km_ping_rtt`: round-trip time in milliseconds +- `km_ping_packet_loss`: percentage lost (ICMP probes only) + +Each carries the `site` and `role` tags you set, so you can build [Dashboards](/visualize-data/dashboards/) and [Alerts](/alerts/create-alerts/) that group by site or fire only when an internet probe drops. diff --git a/src/content/docs/guides/network-monitoring/monitoring-snmp.mdx b/src/content/docs/guides/network-monitoring/monitoring-snmp.mdx deleted file mode 100644 index 262304ef..00000000 --- a/src/content/docs/guides/network-monitoring/monitoring-snmp.mdx +++ /dev/null @@ -1,180 +0,0 @@ ---- -title: "Monitor SNMP Devices" -description: "Draft guide for monitoring SNMP devices with the KloudMate Agent." -draft: true ---- - -This guide shows how to monitor SNMP devices with the KloudMate Agent. The sample instrumentation below illustrates SNMP monitoring for a `FORTINET-FORTIGATE` firewall device. - -## Prerequisites - -For monitoring SNMP devices via KloudMate, the following requirements must be fulfilled: - -1. A VM is available where the KloudMate Agent will run. It must have access to the network device being monitored. -2. The VM IP address is whitelisted for fetching SNMP data from the device. Otherwise, no metrics will be fetched. -3. The network device is configured to send SNMP trap data to the VM, if trap collection is required. -4. The required MIBs for the network device are available. In most cases, both the brand MIB and product MIB are required. For example, when monitoring a Fortinet FortiGate firewall, both `FORTINET-CORE-MIB` and `FORTINET-FORTIGATE-MIB` are required. -5. The list of signals to be monitored is identified in advance, such as memory, CPU, VPN status, firewall, disk, uptime, and link status. Based on this list, the complete agent configuration can be prepared. - -## Sample Instrumentation - -The sample instrumentation illustrates the SNMP monitoring of `FORTINET-FORTIGATE`, a firewall device. Based on the MIBs provided, the agent configuration describes the signals that will be monitored along with detailed information for each metric, such as name, description, type, and associated attributes. - -```yaml -receivers: - snmp: - endpoint: udp://:1161 - version: v2c - community: monitoring - collection_interval: 30s - timeout: 10s - resource_attributes: - device.name: - scalar_oid: 1.3.6.1.2.1.1.5.0 - attributes: - interface.name: - oid: 1.3.6.1.2.1.31.1.1.1.1 - interface.direction: - enum: - - in - - out - vpn.tunnel.name: - oid: 1.3.6.1.4.1.12356.101.12.2.2.1.2 - metrics: - fortigate.cpu.usage: - unit: "%" - description: Overall CPU utilization percentage - gauge: - value_type: int - scalar_oids: - - oid: 1.3.6.1.4.1.12356.101.4.1.3.0 - resource_attributes: - - device.name - fortigate.memory.usage: - unit: "%" - description: Memory utilization percentage - gauge: - value_type: int - scalar_oids: - - oid: 1.3.6.1.4.1.12356.101.4.1.4.0 - resource_attributes: - - device.name - fortigate.memory.capacity: - unit: KB - description: Total physical memory installed in KB - gauge: - value_type: int - scalar_oids: - - oid: 1.3.6.1.4.1.12356.101.4.1.5.0 - resource_attributes: - - device.name - fortigate.sessions.count: - unit: "{sessions}" - description: Number of active IPv4 sessions on the device - gauge: - value_type: int - scalar_oids: - - oid: 1.3.6.1.4.1.12356.101.4.1.8.0 - resource_attributes: - - device.name - fortigate.uptime: - unit: cs - description: Device uptime in centiseconds since last re-initialization - gauge: - value_type: int - scalar_oids: - - oid: 1.3.6.1.4.1.12356.101.4.1.20.0 - resource_attributes: - - device.name - interface.status.operational: - unit: "{status}" - description: Interface operational status (1=up 2=down) - gauge: - value_type: int - column_oids: - - oid: 1.3.6.1.2.1.2.2.1.8 - attributes: - - name: interface.name - resource_attributes: - - device.name - network.io.bytes: - unit: By - description: Total bytes transferred per interface (64-bit counters) - sum: - aggregation: cumulative - monotonic: true - value_type: int - column_oids: - - oid: 1.3.6.1.2.1.31.1.1.1.6 - attributes: - - name: interface.name - - name: interface.direction - value: in - resource_attributes: - - device.name - - oid: 1.3.6.1.2.1.31.1.1.1.10 - attributes: - - name: interface.name - - name: interface.direction - value: out - resource_attributes: - - device.name - fortigate.vpn.tunnel.status: - unit: "{status}" - description: IPsec VPN tunnel status (1=down 2=up) - gauge: - value_type: int - column_oids: - - oid: 1.3.6.1.4.1.12356.101.12.2.2.1.20 - attributes: - - name: vpn.tunnel.name - resource_attributes: - - device.name - fortigate.vpn.tunnel.bytes: - unit: By - description: Bytes transferred per IPsec VPN tunnel - sum: - aggregation: cumulative - monotonic: true - value_type: int - column_oids: - - oid: 1.3.6.1.4.1.12356.101.12.2.2.1.18 - attributes: - - name: vpn.tunnel.name - - name: interface.direction - value: in - resource_attributes: - - device.name - - oid: 1.3.6.1.4.1.12356.101.12.2.2.1.19 - attributes: - - name: vpn.tunnel.name - - name: interface.direction - value: out - resource_attributes: - - device.name -``` - -## Step 1: Add the Receiver to the Pipeline - -```yaml -service: - pipelines: - metrics/snmp: - receivers: - - snmp - processors: - - batch - exporters: - - otlphttp -``` - -## Step 2: Restart the Agent - -```bash -systemctl restart kmagent -systemctl status kmagent -``` - -## Step 3: Verify Metrics in KloudMate - -After restarting the agent, query the configured SNMP metrics in [Explore](../../visualize-data/explore/). You should see telemetry for the monitored device. 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a/src/content/docs/docs/network-monitoring/network-page.mdx +++ b/src/content/docs/docs/network-monitoring/network-page.mdx @@ -23,6 +23,8 @@ Selecting a tile filters the feed below to that category. The **Current problems** feed lists active issues, worst first, one row per affected device. A device with several faults collapses into a single row with its most severe problem as the headline. Each row links to the device drawer. +[Reachability-check sites](/docs/network-monitoring/reachability-checks/) appear here too. A failed gateway probe shows as the gateway being unreachable; a failed internet probe as an uplink problem. A site that stops reporting entirely shows as **Site not reporting** — for a site with one internet link, that's how an outage surfaces, because the agent can't send a failure over the link that's down. + The **status board** groups your devices into cards. Switch the grouping between **Site**, **Role**, and **Vendor**. Each card takes the worst status among its devices and shows a `healthy / total` count, so you see both the state and how much is affected at a glance. Problem groups float to the top, and healthy groups collapse. ![The Overview tab with the Devices down / Uplinks / BGP-VRF / Interfaces errored tiles, a Current problems row marked Critical, and status-board cards grouped by site](./images/network-overview.png) diff --git a/src/content/docs/docs/network-monitoring/reachability-checks.mdx b/src/content/docs/docs/network-monitoring/reachability-checks.mdx index cc4d7e41..7434a24a 100644 --- a/src/content/docs/docs/network-monitoring/reachability-checks.mdx +++ b/src/content/docs/docs/network-monitoring/reachability-checks.mdx @@ -12,27 +12,31 @@ Not every site has a device you can poll. A branch office might sit behind a con A reachability check runs two probes from the agent: -- **Gateway probe**: an ICMP ping to the site's LAN gateway. It answers "is the local network up?" +- **Gateway probe**: an ICMP ping to the site's LAN gateway. It answers "is the local network up?" The agent pings **its own default gateway** — you don't enter an address — so the check only makes sense when the agent runs on the site's network. - **Internet probe**: a TCP connection to a public host. It answers "is the ISP link working?" Read together, the two probes tell you where a fault is. Gateway up and internet down points at the ISP or the WAN link, not the local network. Both down points at the site itself: power, the gateway, or the agent's own connectivity. +:::caution[Single-link sites: an internet outage looks like "not reporting"] +If the site has a single internet connection, the agent uses that same link to send data to KloudMate. When the link goes down, the internet probe can't report its own failure — so the check shows as **not reporting** rather than a failed internet probe. Alert on "not reporting" (no data) for these sites, the same way you'd catch an agent going offline. A site with a second, independent link is the only case where a failed internet probe (`km_ping_up = 0`) reliably arrives. +::: + ## Before you start -- A Linux or Docker KloudMate Agent that can reach the site's gateway and the public internet. +- A Linux or Docker KloudMate Agent **running at the site** — on the same local network as the gateway. The gateway probe pings the agent's own gateway, so a central or remote agent has no site gateway to check and skips that probe. - For the gateway probe, ICMP permission on the agent host. ICMP needs `CAP_NET_RAW` or root, so add `--cap-add=NET_RAW` when running the agent in Docker. The internet probe uses TCP and works without extra privileges. ## Add a reachability check On the **Network** page, open the **Add** menu and choose **Reachability check**: +- **Agent**: pick the agent running **at this site**. The gateway probe uses this agent's own gateway. - **Site name**: a label such as `hotel-blr-01`. It applies to both probes so they group under one site. -- **Gateway IP**: the LAN gateway address to ping, for example `192.168.1.1`. - **Public host:port**: a reliable public endpoint to connect to, for example `1.1.1.1:443`. A successful connection means the internet path is working. -Saving adds both probes and briefly restarts data collection on the agent. +The agent discovers and pings its own default gateway. Saving adds both probes and briefly restarts data collection on the agent. -![The Add a reachability check form with a collector agent, a site name, a gateway probe IP, and an internet probe host and port](./images/add-reachability-check.png) +![The Add a reachability check form with a collector agent, a site name, and an internet probe host and port](./images/add-reachability-check.png) ## Where results show up From 5f190f8e487fbccc6fadba369e22f7323645622e Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Tue, 21 Jul 2026 11:20:42 +0530 Subject: [PATCH 21/39] docs(synthetic): update whitelist IPs to AWS worker fleet Replace the GCP egress IPs with the new AWS Elastic IPs (Asia/Europe/US) as the synthetic workers migrate from GCP to AWS. Co-Authored-By: Claude Opus 4.8 --- src/content/docs/docs/synthetic/index.mdx | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/src/content/docs/docs/synthetic/index.mdx b/src/content/docs/docs/synthetic/index.mdx index 19c4c08c..c97db1a3 100644 --- a/src/content/docs/docs/synthetic/index.mdx +++ b/src/content/docs/docs/synthetic/index.mdx @@ -24,12 +24,12 @@ If your endpoint or service is behind a firewall or blocks requests from public | Region | IP Address | | ------ | ---------------- | -| Asia | `34.14.170.159` | -| Asia | `34.93.104.208` | -| Europe | `34.140.157.247` | -| Europe | `35.195.21.112` | -| US | `34.61.24.127` | -| US | `34.42.22.136` | +| Asia | `43.205.44.24` | +| Asia | `35.154.170.63` | +| Europe | `34.249.117.151` | +| Europe | `54.247.108.109` | +| US | `100.57.144.150` | +| US | `54.166.225.155` | ## Main Components From d57c919de5fc4a6bf80a10361d0dc2c0ffd11b44 Mon Sep 17 00:00:00 2001 From: Ansh Garhewal Date: Wed, 22 Jul 2026 13:39:44 +0530 Subject: [PATCH 22/39] Document the Profiling module: overview, five views, and Getting Started Fills in the Profiling overview page and adds a page per view (All Services, Profile Types, Labels, Flame Graph, Diff), plus a Getting Started section covering Pyroscope SDK setup with Basic auth against the KloudMate ingest endpoint. Also fixes validate-frontmatter.mjs, which resolved its target directory via URL.pathname and broke on Windows (doubled drive letter) instead of using fileURLToPath. Co-Authored-By: Ansh Garhewal --- scripts/validate-frontmatter.mjs | 3 +- .../docs/docs/profiling/all-services.mdx | 36 ++++++ src/content/docs/docs/profiling/diff.mdx | 38 ++++++ .../docs/docs/profiling/flame-graph.mdx | 50 +++++++ src/content/docs/docs/profiling/index.mdx | 122 +++++++++++++++++- src/content/docs/docs/profiling/labels.mdx | 30 +++++ .../docs/docs/profiling/profile-types.mdx | 29 +++++ 7 files changed, 304 insertions(+), 4 deletions(-) create mode 100644 src/content/docs/docs/profiling/all-services.mdx create mode 100644 src/content/docs/docs/profiling/diff.mdx create mode 100644 src/content/docs/docs/profiling/flame-graph.mdx create mode 100644 src/content/docs/docs/profiling/labels.mdx create mode 100644 src/content/docs/docs/profiling/profile-types.mdx diff --git a/scripts/validate-frontmatter.mjs b/scripts/validate-frontmatter.mjs index b577956a..5932d79f 100644 --- a/scripts/validate-frontmatter.mjs +++ b/scripts/validate-frontmatter.mjs @@ -8,8 +8,9 @@ import { readFileSync, readdirSync, statSync } from 'fs'; import { join, relative } from 'path'; +import { fileURLToPath } from 'url'; -const DOCS_DIR = new URL('../src/content/docs', import.meta.url).pathname; +const DOCS_DIR = fileURLToPath(new URL('../src/content/docs', import.meta.url)); const REQUIRED_FIELDS = ['title', 'description']; const FRONTMATTER_RE = /^---\r?\n([\s\S]*?)\r?\n---/; diff --git a/src/content/docs/docs/profiling/all-services.mdx b/src/content/docs/docs/profiling/all-services.mdx new file mode 100644 index 00000000..96459ede --- /dev/null +++ b/src/content/docs/docs/profiling/all-services.mdx @@ -0,0 +1,36 @@ +--- +title: "All Services" +description: "See every service reporting a profile type at a glance, and jump into its flame graph from a service card." +sidebar: + order: 2 +--- + +**All Services** is the view you land on when you open Profiling. It's a grid of cards, one per service, showing you at a glance who's sending data and whether anything looks unusual before you drill into a single flame graph. + +:::note +No cards here means no service has sent profiling data yet for the selected type and time range. Head to [Getting Started](../#getting-started) to configure the SDK. +::: + +## Filter the grid + +A filter bar sits above the grid: + +- **Profile type** — a dropdown of every type reported by any service in the workspace: `cpu`, `alloc_objects`, `alloc_space`, `inuse_objects`, `goroutine`, and so on, depending on what your SDKs collect. The grid only shows services that reported the selected type. +- **Search** — filters the grid by service name as you type. The result count shows next to the search box once you've typed something. + +Both the time range and timezone come from the picker in the page header, and apply to every view in the module, not only this one. + +## Reading a service card + +Each card shows: + +- The **service name**. +- **Peak** — the highest value the service reported for the selected type over the selected time range, formatted for the type (a duration for CPU, a byte size for memory, a count for objects). +- A **mini time-series chart** of that type over the time range, so you can spot a spike before you open the full flame graph. + +Click any card to jump straight to that service's [Flame Graph](../flame-graph/), pre-filtered to the profile type you had selected. + +## Related + +- [Profile Types](../profile-types/) — see every profile type for one service, instead of one type across every service. +- [Flame Graph](../flame-graph/) — where a card takes you when you click it. diff --git a/src/content/docs/docs/profiling/diff.mdx b/src/content/docs/docs/profiling/diff.mdx new file mode 100644 index 00000000..f26e06e4 --- /dev/null +++ b/src/content/docs/docs/profiling/diff.mdx @@ -0,0 +1,38 @@ +--- +title: "Diff" +description: "Compare two time windows of the same service and profile type to see exactly what a deploy changed." +sidebar: + order: 6 +--- + +**Diff** compares two time windows of the same service and profile type — the view to reach for right after a deploy, a config change, or a traffic shift, when the question is "did that make things better or worse?" instead of "what does this look like right now?" + +## Set up the comparison + +A **Service** and **Profile type** selector sits at the top, shared by both windows. Below it, two independent panels: + +- **Baseline** (green) — the "before" window. +- **Comparison** (red) — the "after" window. + +Each panel has its own time-range picker, its own label filters, and its own mini chart, so baseline and comparison can come from genuinely different moments — different days, different deploys, whatever you're comparing. Click **Auto-select** for a reasonable default: the last 15 minutes as the comparison window, and a 15-minute window from about an hour ago as the baseline. + +## Merged vs. side by side + +A toggle switches the bottom panel between two ways of looking at the same comparison. + +### Merged + +One flame graph, built from a single merged tree, colored by change: green frames got cheaper, red frames got more expensive, gray frames didn't move. The function table next to it adds **Baseline %**, **Comparison %**, and **Δ** columns — percentage-point deltas, so a function's cost is comparable even if the two windows aren't the same length. + +This is the fastest way to get a single answer: scan for the widest red frame. + +### Side by side + +Two independent flame graphs, A (baseline) and B (comparison), each showing its own full 100% breakdown rather than one merged tree. Hover a frame in either one and the *same function* highlights in the other, with a tooltip showing self time and percentage on both sides plus the delta between them. + +Reach for this when the merged view's single tree hides something — a function that moved depth in the call stack, for instance, or one that only exists in one of the two windows. The legend calls those out directly: teal/red for less-or-more in the same function, and separate swatches for "only in A" and "only in B." + +## Related + +- [Flame Graph](../flame-graph/) — the single-window view Diff builds on. +- [Labels](../labels/) — the same filter mechanism, applied independently to each window here. diff --git a/src/content/docs/docs/profiling/flame-graph.mdx b/src/content/docs/docs/profiling/flame-graph.mdx new file mode 100644 index 00000000..2c2b6b76 --- /dev/null +++ b/src/content/docs/docs/profiling/flame-graph.mdx @@ -0,0 +1,50 @@ +--- +title: "Flame Graph" +description: "Read and navigate an interactive flame graph — zoom, sandwich view, search, and the function table — to find a specific hotspot." +sidebar: + order: 5 +--- + +**Flame Graph** is where you actually find the hotspot: one service, one profile type, rendered as an interactive flame graph next to a sortable table of every function that showed up in the sample. + +## The toolbar + +- **Profile type** — switch between CPU, heap, goroutines, or whatever else this service reports, without leaving the page. +- **Filter by label** — add the same resource-attribute filters you'd set on [Labels](../labels/) directly here. +- **Highlight frames** — type a function name and every matching frame gets an amber outline in the flame graph below, without changing what's rendered. +- **Split / Flamegraph / Table** — choose whether you see the table and flame graph side by side, or either one full-width. + +A mini time-series chart of the selected type sits above the main view, so you can see roughly where in the time range the samples are concentrated before you dig in. + +## The function table + +Every function that appears anywhere in the profile gets a row: name, file and line, self time, total time, and each as a percentage of the whole. Click any column header to sort by it — sorting by **Self** is usually the fastest way to find your hotspot, since it's the time spent *in* that function, not in anything it calls. + +Click a row to open its [details](#node-details). + +## The flame graph + +Each row of the flame graph is a stack frame; width represents time (or memory, for heap profiles) relative to the root. Wider means more expensive. + +- **Click a frame** to zoom in — the flame graph re-scales to show only that frame's subtree. A breadcrumb reading *"N levels deep"* appears, with **← Up** and **Reset** to back out. +- **Double-click** anywhere to reset the zoom in one step. +- **Sandwich mode** flips the layout: pick a frame and see its callers stacked above it and its callees stacked below — useful when you already know which function is expensive and want to know who's calling it, or what it's calling that's actually slow. +- **Color by Package** (the default) gives every package or namespace a stable color, so the same library looks the same everywhere you see it. **Color by Value** switches to a heat scale from cold (little self time) to hot (a lot), which is faster for spotting the single worst offender in a wide, unfamiliar graph. +- Hover any frame for its name, file and line, and total/self time with percentages. + +:::tip +If you searched for a function using **Highlight frames**, matching frames keep their amber outline in every mode, including inside Sandwich view. +::: + +## Node details + +Clicking a frame or a table row opens a drawer with everything about that one function: its full name, file and line, detected language (inferred from the file extension or naming convention), and self/total time as both a raw value and a percentage of the whole profile. + +## Ask AI + +The **Ask AI** button, top right, hands the current view to the KloudMate Assistant: service, profile type, time range, and the top 10 functions by self time, pre-loaded into a prompt asking it to identify the bottleneck. It's a starting point for the investigation, not a replacement for reading the flame graph yourself — see [KloudMate Assistant](../../kloudmate-assistant/) for what it can and can't do. + +## Related + +- [Labels](../labels/) — build the filters you can also set from this page's toolbar. +- [Diff](../diff/) — compare two time windows instead of reading one snapshot. diff --git a/src/content/docs/docs/profiling/index.mdx b/src/content/docs/docs/profiling/index.mdx index b774731d..7ace144b 100644 --- a/src/content/docs/docs/profiling/index.mdx +++ b/src/content/docs/docs/profiling/index.mdx @@ -1,7 +1,123 @@ --- title: "Profiling" -description: "Overview of Profiling" +description: "Find CPU and memory hotspots in a running service with continuous profiling, and send your first profile with the Pyroscope SDK." sidebar: - label: "Introduction" -draft: true + order: 1 + label: "Overview" --- + +import { CardGrid, LinkCard, Tabs, TabItem } from '@astrojs/starlight/components'; + +A flame graph answers a question logs and traces can't: which function is actually burning the CPU, or holding onto memory, right now. KloudMate's Profiling module samples your services continuously and turns those samples into an interactive flame graph, so you can go from "this service is slow" to a specific function and line number — without attaching a debugger or shipping a new build. + +This page introduces the five views in the Profiling module and shows you how to start sending profiles. + +## The five views + +Profiling has five views, reached from the segmented toggle at the top of the module: + +- **[All Services](./all-services/)** is your entry point — see every service reporting a given profile type, at a glance, over your selected time range. +- **[Profile Types](./profile-types/)** is service-centric — once you pick a service, see every metric it profiles (CPU, heap, goroutines, and so on) side by side. +- **[Labels](./labels/)** breaks a service's profiles down by the resource attributes your SDK attaches — region, pod, version — so you can filter down to the one that matters. +- **[Flame Graph](./flame-graph/)** is where you find the hotspot: an interactive, zoomable flame graph plus a sortable function table for one service and profile type. +- **[Diff](./diff/)** compares two time windows of the same service and profile type — the view you reach for right after a deploy, to answer "did that change make things worse?" + +Start on **All Services** to see what's reporting data, narrow to one service in **Profile Types** or **Labels**, then open **Flame Graph** to dig into a specific hotspot. Reach for **Diff** whenever you need a before/after comparison instead of a single snapshot. + +## Getting Started + +KloudMate doesn't ship its own profiling agent — it speaks the [Pyroscope](https://grafana.com/oss/pyroscope/) ingest protocol, so any Pyroscope-compatible SDK can send data straight to your workspace. That covers Go, Python, Java, Ruby, .NET, and Rust. + +### Get your ingest endpoint and API key + +You need two things before you touch any application code: + +1. **The ingest endpoint**: `https://otel.kloudmate.com:4040` +2. **An API key** — go to **Settings → API Keys**, click **Add New**, and create an **Ingest Key – Backend**. Copy it immediately; KloudMate shows it only once. See [API Keys](../platform/settings/api-keys/) if you need the full walkthrough. + +### Authenticate with Basic auth + +Pyroscope SDKs authenticate with HTTP Basic auth, where the **password** carries the credential and the **username** is a placeholder label the SDK requires you to set — KloudMate ignores it. Use `KloudMate` as the username and your API key as the password: + +- **Username:** `KloudMate` +- **Password:** the Ingest API key you just created + +Most SDK configs expose this as two separate fields (`BasicAuthUser` / `BasicAuthPassword`, or similar). Fill in both — an empty username is a common way to get a silent 401. + +### Configure the SDK + + + + +```go +package main + +import "github.com/grafana/pyroscope-go" + +func main() { + pyroscope.Start(pyroscope.Config{ + ApplicationName: "my-service", + ServerAddress: "https://otel.kloudmate.com:4040", + BasicAuthUser: "KloudMate", + BasicAuthPassword: "YOUR_API_KEY", + ProfileTypes: []pyroscope.ProfileType{ + pyroscope.ProfileCPU, + pyroscope.ProfileAllocObjects, + pyroscope.ProfileAllocSpace, + pyroscope.ProfileInuseObjects, + pyroscope.ProfileInuseSpace, + }, + }) + + // the rest of your application +} +``` + + + + +```python +import pyroscope + +pyroscope.configure( + application_name="my-service", + server_address="https://otel.kloudmate.com:4040", + basic_auth_username="KloudMate", + basic_auth_password="YOUR_API_KEY", +) +``` + +Call `pyroscope.configure()` once, as early as possible — before you import or initialize the rest of your app. + + + + +The Java integration runs as a Java agent, configured through environment variables: + +```bash +export PYROSCOPE_APPLICATION_NAME=my-service +export PYROSCOPE_SERVER_ADDRESS=https://otel.kloudmate.com:4040 +export PYROSCOPE_BASIC_AUTH_USER=KloudMate +export PYROSCOPE_BASIC_AUTH_PASSWORD=YOUR_API_KEY + +java -javaagent:pyroscope.jar -jar my-app.jar +``` + +KloudMate ingests pprof-format profiles from the Pyroscope Java agent. It doesn't yet support profiles submitted in Java Flight Recorder (JFR) format — if your setup lets you choose the output format, pick pprof. + + + + +Swap `my-service` for a name that identifies this deployment, and `YOUR_API_KEY` for the key you copied above. For every other language the SDK supports, the pattern is the same: point `ServerAddress`/`server_address` at the endpoint above and pass your API key as the Basic auth password. + +### Confirm it's working + +Open **Profiling → All Services**, pick the profile type you configured (`cpu` is the default) from the dropdown, and give it a minute. Your service's card appears with a live chart as soon as the first samples land. If it doesn't show up, double-check the username/password pair — a missing username is the most common cause of a silent failure. + +## Related + + + + + + diff --git a/src/content/docs/docs/profiling/labels.mdx b/src/content/docs/docs/profiling/labels.mdx new file mode 100644 index 00000000..bd2ee4d5 --- /dev/null +++ b/src/content/docs/docs/profiling/labels.mdx @@ -0,0 +1,30 @@ +--- +title: "Labels" +description: "Break a service's profile down by the resource attributes your SDK attaches, and filter by clicking a value." +sidebar: + order: 4 +--- + +**Labels** shows every resource attribute your SDK attaches to its profiles — `region`, `pod`, `version`, or anything else you've tagged — as its own card, with a chart and a clickable list of values. It's how you answer "is this CPU spike coming from one pod, or all of them?" without leaving the grid. + +## Filter the grid + +At the top of the page: + +- **Search** — filters the cards by label key. +- **Service** and **Profile type** dropdowns — same selection you'd make on [Profile Types](../profile-types/); Labels only shows data for one service and type at a time. + +Once you've clicked a value on any card, a **"N filters active"** indicator and a **View in Flame Graph →** link appear, so you can carry your filters straight into the [Flame Graph](../flame-graph/) view instead of rebuilding them there. + +## Reading a card + +Each card is one label key. It shows a mini chart of the selected profile type, scoped to whatever filters are already active — and the chips beneath it are that label's own values, click any one to add it as a filter. + +There's one deliberate exception: a label's own active filter is left out of *its own* chart, even though it's applied to every other card's chart. Filter on `region=us-east` and every other card's chart narrows to `us-east`, but the `region` card itself keeps showing all regions — otherwise selecting a value would collapse that one chart down to a single flat line, which defeats the point of using it to compare values. + +Click a selected chip again to remove that filter. + +## Related + +- [Profile Types](../profile-types/) — pick the service and profile type Labels filters within. +- [Flame Graph](../flame-graph/) — where your active label filters carry over when you click **View in Flame Graph**. diff --git a/src/content/docs/docs/profiling/profile-types.mdx b/src/content/docs/docs/profiling/profile-types.mdx new file mode 100644 index 00000000..d71d4f1d --- /dev/null +++ b/src/content/docs/docs/profiling/profile-types.mdx @@ -0,0 +1,29 @@ +--- +title: "Profile Types" +description: "See every profile type one service reports, side by side, and jump straight into a flame graph or its labels." +sidebar: + order: 3 +--- + +**Profile Types** flips the axis from [All Services](../all-services/): instead of one type across every service, you pick one service and see every type it reports — CPU, allocated objects, allocated space, in-use objects, goroutines, and anything else its SDK collects. + +## Pick a service + +A **Service** dropdown sits at the top of the page. Switching it reloads the grid with that service's own profile types — a service that only enables CPU profiling shows one card; a Go service with the full profiler config enabled might show five or six. + +If nothing's selected yet, the page shows an empty state prompting you to pick a service from All Services first. + +## Reading a card + +Each card is one profile type, showing its label and a mini time-series chart over the selected time range. Two links sit in the card's footer: + +- **Labels** — opens the [Labels](../labels/) view for this type, so you can break it down by resource attribute. +- **Flame graph** — opens the [Flame Graph](../flame-graph/) view for this type, ready to dig into. + +If a service hasn't reported any profile types in the selected time range, the grid shows an empty state instead — widen the time range before assuming the SDK isn't sending data. + +## Related + +- [All Services](../all-services/) — the reverse view: one type across every service. +- [Labels](../labels/) — break one profile type down by resource attribute. +- [Flame Graph](../flame-graph/) — the detail view a card's "Flame graph" link opens. From 7c7d72b445479497c4b7bbfcd9a1353a3619a7c7 Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Thu, 23 Jul 2026 14:22:18 +0530 Subject: [PATCH 23/39] agent doc update --- .../advanced-configuration.mdx | 2 + .../auto-instrumentation/language-support.mdx | 99 +++++++++++++++++++ .../auto-instrumentation/linux-systemd.mdx | 2 +- .../auto-instrumentation/overview.mdx | 1 + .../custom-config-override.mdx | 81 +++++++++++++++ .../kloudmate-agent/ebpf-network-topology.mdx | 46 +++++++++ .../kloudmate-agent/ebpf-observability.mdx | 4 +- .../docs/network-monitoring/network-page.mdx | 2 +- .../docs/docs/synthetic/monitors/index.mdx | 2 + 9 files changed, 236 insertions(+), 3 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/auto-instrumentation/language-support.mdx create mode 100644 src/content/docs/docs/kloudmate-agent/custom-config-override.mdx create mode 100644 src/content/docs/docs/kloudmate-agent/ebpf-network-topology.mdx diff --git a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx index 6ed7501f..c8d4e692 100644 --- a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx +++ b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx @@ -13,6 +13,8 @@ Most agents run well in managed mode with the defaults. This page collects the a Switching an agent to **manual mode** gives you the raw collector YAML through the editor, so you can hand-tune the configuration or add a component that the managed integrations do not cover. This is for non-standard setups. The trade-off is that the configuration is edited by hand and the feature toggles are disabled. On Kubernetes, the agent's configuration lives in the collectors' ConfigMaps; do not edit them directly, because the agent owns them in managed mode. See the [configuration model](../concepts/config-model/) and [Kubernetes platform notes](../platform-notes/kubernetes/). +If you only need to add one component on top of the managed configuration, the [custom config override](../custom-config-override/) is lighter: it layers your YAML on top of managed mode and keeps the feature toggles working, so you do not have to hand-edit the whole configuration. + The agent's own settings (such as the API key, host name override, and health reporting) are set through `agent.yaml`, environment variables, or command-line flags on the host, and through Helm values on Kubernetes. ## Sampling diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/language-support.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/language-support.mdx new file mode 100644 index 00000000..e16c2f1e --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/language-support.mdx @@ -0,0 +1,99 @@ +--- +title: "Languages and process managers" +description: "Which languages the KloudMate agent auto-instruments on Linux hosts, how the attach path changes with systemd, PM2, or a bare process, and the known limitations." +sidebar: + label: "Languages & process managers" + order: 2.5 +--- + +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +On a Linux host, how the agent attaches tracing to a service depends on the language **and** on how the service is run. A systemd unit, a PM2-managed app, and a bare process each expose a different hook, so the agent picks the right one for each. This page is the reference for what is supported where, and what to watch out for. + +For the per-service flow, restart consent, and rollback that apply to every path, see the [Application APM overview](../overview/). + +## Support matrix + +| Runtime | systemd service | PM2 app | Bare / other process | +|---|---|---|---| +| Java | Startup drop-in, then restart | Runtime attach, no restart | Runtime attach, no restart | +| Node.js | Startup drop-in, then restart | Restart with updated environment | Not automatic; run under systemd or PM2 | +| Python | Startup drop-in, then restart | Restart with updated environment | Not automatic; run under systemd or PM2 | +| .NET | Startup drop-in, then restart | Run under systemd | Run under systemd | +| PHP | `php.ini` scan directory, graceful reload | `php.ini` scan directory, graceful reload | `php.ini` scan directory, graceful reload | +| Go | eBPF monitoring, no injection | eBPF monitoring, no injection | eBPF monitoring, no injection | + +Every path exports to the agent's local collector, so an instrumented service shares one trace with the [eBPF monitoring](../../ebpf-observability/) around it. + +## systemd services + +This is the primary path on Linux. When you instrument a systemd service, the agent writes a startup drop-in for that unit and, with your consent, restarts it so the change takes effect: + +- **Java** loads the OpenTelemetry Java agent through `JAVA_TOOL_OPTIONS`. +- **Node.js** loads the instrumentation through `NODE_OPTIONS`. +- **Python** loads it through `PYTHONPATH`. +- **.NET** loads the CLR profiler through the `CORECLR_*` and `DOTNET_STARTUP_HOOKS` variables. + +Because the restart lets the agent set configuration up front, a systemd service gets a stable, forced `service.name` (the name you see in the Discovered Services list), sampling, and the correct OTLP endpoint. Turning instrumentation off removes the drop-in and restarts the service, leaving it as it was. Applying the same choice twice does nothing, so it is safe to re-run. + +## PM2 apps + +PM2 apps have no systemd unit, so they get a different, restart-based path. The agent instruments **Node.js and Python** apps running under PM2 by restarting each selected app with the tracing environment applied (`pm2 restart --update-env`). Each app keeps its own PM2 process name as its `service.name`, so several apps under one PM2 daemon stay distinct. + +The agent covers every user's PM2 daemon on the host, not just root's. If an injected app fails to come back online, the agent withdraws the change and restarts the app, so a bad injection never leaves your app down. + +Java under PM2 uses the runtime-attach path below instead. .NET under PM2 is uncommon and is not covered automatically; run a .NET service under systemd to instrument it. + +## Java without systemd (runtime attach) + +A JVM that is not a systemd service, whether it is a bare `java -jar` process, PM2-managed, or started by a script, can still be instrumented. The agent attaches the OpenTelemetry Java agent to the **running JVM** with no restart and no supervisor required. This is validated against real frameworks, including Spring Boot and Tomcat. + +Runtime attach detects `service.name` automatically, in this order: + +1. The jar name for a `java -jar app.jar` launch (so `app.jar` reports as `app`). +2. `spring.application.name`, when the app sets it. +3. Otherwise `unknown_service:java`. + +Two things follow from attaching to a live JVM rather than restarting it: + +- **You cannot force a specific `service.name`** on this path. If you need a fixed name, set `spring.application.name` in the app, or run it as a systemd service. +- **Attach is one-way.** An agent loaded at runtime stays until the JVM restarts, so turning instrumentation off does not remove it from an already-running JVM. It takes effect on the next restart. + +## Bare Node.js and Python + +Node.js and Python only have a supervised attach path. A bare, unsupervised Node.js or Python process, one with no systemd unit and not under PM2, has no per-process hook the agent can use. To instrument it, run it under **systemd or PM2** first. The Discovered Services list reports these as not automatically instrumentable and points you to this prerequisite. + +## PHP + +PHP is instrumented through the PHP configuration, not a process restart. The agent adds a file to the PHP scan directory for the target's own PHP build, then reloads the SAPI gracefully (a php-fpm or Apache reload) so no connections drop. It works on **PHP 8** with the native OpenTelemetry extension, and falls back to a tracer that also covers **PHP 7**. See [PHP instrumentation](../php/). + +## Go + +Go is not injected. It is covered by [eBPF monitoring](../go-ebpf/), which gives Go services RED metrics, the service map, and spans from the kernel with no attach step. This is the same on systemd, PM2, and bare processes. + +## How discovered services are named and filtered + +The agent keeps the Discovered Services list to real application workloads: + +- **Infrastructure and the agent's own processes are excluded.** The agent never lists or instruments itself, cloud-provider guest agents (such as the AWS SSM agent, the Google guest agent, or the Azure agent), or container runtimes (such as `containerd`, `dockerd`, and `kubelet`). Left in, these would clutter the list and could be traced as if they were your services. +- **A bare JVM is listed by its jar name.** A `java -jar app.jar` process shows as `app`, matching the `service.name` its traces carry, rather than the generic `java`. + +For the full discovery model, see [Discovery](../../concepts/discovery/). + +## Limitations + +Keep these in mind, especially on the runtime-attach path: + +- **Java runtime attach does not instrument the built-in `com.sun.net.httpserver`.** The JDK's own lightweight HTTP server registers its handler before the agent attaches, and that handler cannot be re-hooked afterward. Standard frameworks such as Spring Boot and Tomcat are fully instrumented; only apps serving directly from the JDK's built-in server are affected. +- **JDK 21 and newer print a dynamic-agent-loading warning.** Runtime attach triggers the JVM's `A future release of the JVM may disallow dynamic loading of agents by default` warning ([JEP 451](https://openjdk.org/jeps/451)). It is harmless today. A future JVM may require you to start the app with `-XX:+EnableDynamicAgentLoading` for runtime attach to keep working. +- **Bare Node.js and Python need a supervisor.** Without systemd or PM2, there is no automatic attach path for these runtimes. +- **Go is eBPF-only.** There is no code injection for Go; its coverage comes from eBPF monitoring. + +## Related + + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx index bcbc9083..523253f1 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/linux-systemd.mdx @@ -38,7 +38,7 @@ The agent restarts one service at a time, only with your consent, and can wait f ## Other process managers -systemd is the primary path on Linux. Services that run under other process managers, such as supervisord or pm2, or that run on their own, do not have a per-service way to attach the agent. The agent reports them as not supported for automatic instrumentation and offers guidance instead. +systemd is the primary path on Linux, but it is not the only one. Node.js and Python apps under **PM2** are instrumented by restarting them with the tracing environment applied. A **Java** process that is not a systemd service, whether it is a bare `java -jar` process or runs under another supervisor, is instrumented by runtime attach, with no restart. A bare Node.js or Python process still needs to run under systemd or PM2 first. See [Languages and process managers](../language-support/) for the full matrix and the limitations of each path. ## Next steps diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx index 72fc76ff..a45c3c58 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/overview.mdx @@ -67,6 +67,7 @@ The default and recommended model is to instrument per service. For automated ro + diff --git a/src/content/docs/docs/kloudmate-agent/custom-config-override.mdx b/src/content/docs/docs/kloudmate-agent/custom-config-override.mdx new file mode 100644 index 00000000..530f8f17 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/custom-config-override.mdx @@ -0,0 +1,81 @@ +--- +title: "Custom config override" +description: "Layer your own collector receivers, processors, or pipelines on top of a managed KloudMate agent without switching to manual mode." +sidebar: + label: "Custom config override" + order: 13.5 +--- + +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +The **custom config override** lets you add your own collector configuration on top of a managed agent, without giving up managed mode. Use it when the managed integrations cover almost everything you need and you want to add one processor, adjust an exporter, or wire in an extra pipeline. + +This is the lighter alternative to [manual mode](../advanced-configuration/). Manual mode hands you the whole collector YAML and turns the feature toggles off. The override keeps you in managed mode, keeps every toggle working, and applies only the small piece of YAML you add. + +## Where the override sits + +Your override is the **final layer** of the agent's configuration. The agent merges it on top of everything else, in this order: + +1. The base configuration. +2. Whatever your managed integrations generate. +3. Every receiver and processor the agent adds automatically (eBPF, PHP, PM2, database monitoring, and so on). +4. **Your override, last.** + +Because it merges last, the override wins any conflict. It is also kept when your integrations change, so you do not have to reapply it after toggling a feature. + +## Set an override + +1. Open the agent's **Configuration** page. +2. Find the **Custom config override** section. +3. Enter your collector YAML in the editor. It is validated as you type. +4. Choose **Save override**. + +The agent picks up the change on its next check-in. + +## How the merge works + +The override is deep-merged with the configuration underneath it: + +- **Maps merge.** Adding a new processor under `processors:` leaves the existing processors untouched. +- **Scalars and lists are replaced, not combined.** If your override sets a key that already has a value, or a list such as a pipeline's `receivers:`, your value replaces what was there. A list is never appended to, so include every element you want when you override one. + +## Example: stamp an attribute on all metrics + +This adds a `resource` processor and wires it into the metrics pipeline, so every metric carries a `team` attribute: + +```yaml +processors: + resource/team: + attributes: + - key: team + value: platform + action: upsert +service: + pipelines: + metrics: + processors: [resource/team] +``` + +Because a list is replaced rather than merged, the `processors:` list you set here becomes the metrics pipeline's processor list. Include the other processors that pipeline needs alongside `resource/team`. + +## Example: raise exporter verbosity while debugging + +To make the debug exporter log full telemetry while you diagnose a pipeline: + +```yaml +exporters: + debug: + verbosity: detailed +``` + +## Safety + +Before it applies a new configuration, the agent validates it. If your override makes the configuration invalid, most often a wrong top-level key, the agent **rejects it and keeps the last working configuration** rather than restarting the collector into a broken state. The reason is reported back to the workspace, so you can see why an override was not applied without logging in to the host. + +## Related + + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-network-topology.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-network-topology.mdx new file mode 100644 index 00000000..fadd6205 --- /dev/null +++ b/src/content/docs/docs/kloudmate-agent/ebpf-network-topology.mdx @@ -0,0 +1,46 @@ +--- +title: "eBPF network topology" +description: "How the KloudMate agent builds host-to-host network topology from eBPF flows on VMs, and how to group peers into zones with KM_EBPF_NETWORK_CIDRS." +sidebar: + label: "Network topology (eBPF)" + order: 5.5 +--- + +import { LinkCard, CardGrid } from '@astrojs/starlight/components'; + +On a VM host, the agent's [eBPF monitoring](../ebpf-observability/) reports Layer 4 network flows straight from the kernel. Each flow now carries the address of both ends, so KloudMate can draw the connections between your hosts automatically, with no configuration. + +This is a metrics-only signal. It is separate from application tracing: a host can report network flows without any application spans, and enabling it does not instrument any process. + +## Host-to-host edges, with no configuration + +Every flow the agent emits carries its **source and destination peer address** by default. KloudMate uses those addresses to match each end to the host behind it and to draw a topology edge between them. You get a host-to-host map of what talks to what as soon as the agent is running. + +This closes an earlier gap. VM flows used to carry no peer identity, so KloudMate could not connect one VM to another. Naming both ends of every flow is what gives the VM path the same topology that Kubernetes already had. + +Network flow monitoring is **on by default** wherever the kernel supports eBPF. It is capability-gated the same way as the rest of eBPF, so a host that cannot load it degrades to metrics and logs rather than failing. To turn it off, set `KM_EBPF_NETWORK_ENABLED=false`. + +## Group peers into zones with CIDRs + +Addresses give you an exact peer per flow. On top of that, you can add a coarser **zone** label so you can group traffic by network range, for example "app tier", "database subnet", or "everything external". + +Set `KM_EBPF_NETWORK_CIDRS` to a comma-separated list of CIDR ranges. The agent tags each flow with the source and destination zone that its addresses fall into, alongside the per-peer addresses it already carries: + +```bash +KM_EBPF_NETWORK_CIDRS="10.0.1.0/24,10.0.2.0/24,10.0.0.0/8" +``` + +Zones are optional. With no CIDRs set, flows still carry their peer addresses and still build the topology edges; you only lose the coarser grouping. A `0.0.0.0/0` entry acts as a catch-all that buckets any address not matched by a more specific range. + +## Cardinality of external peers + +Peer addresses are per-peer by design, and on an internal network that set is small and stable. A host that talks to many **external** addresses (a public-facing service, an outbound crawler) can produce a large number of distinct peers, which raises the metric cardinality of the flow signal. + +If you see this, the practical control today is to bucket external traffic into a single zone with a `0.0.0.0/0` catch-all in `KM_EBPF_NETWORK_CIDRS`, so many external addresses collapse to one zone label. A built-in bound on external-peer cardinality is a planned follow-up. + +## Related + + + + + diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index 20ae6809..ef96a59e 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -17,6 +17,7 @@ When eBPF monitoring is active, the agent collects: - **RED metrics** (Rate, Errors, and Duration) for your services, with no instrumentation. - **Service dependencies**, used to build the visual service map, including peer-to-peer latency. +- **Network topology:** host-to-host Layer 4 flow edges, built from the peer addresses on each flow. See [eBPF network topology](../ebpf-network-topology/). - **Database Activity Monitoring (DAM):** kernel-level capture of database queries on the wire, with no credentials. - **Distributed context propagation:** the agent reads and injects HTTP trace context (`traceparent`), so requests stay on one trace across services. - **Log-to-trace correlation:** trace identifiers are added to application logs so you can jump between a log line and its trace. @@ -101,7 +102,7 @@ discovery: network: enable: true - source: tc + source: socket_filter # avoids clashing with other tc-based eBPF, such as a Cilium CNI direction: both attributes: @@ -130,5 +131,6 @@ Once the agent is collecting eBPF telemetry, confirm it in these views: + diff --git a/src/content/docs/docs/network-monitoring/network-page.mdx b/src/content/docs/docs/network-monitoring/network-page.mdx index ada7cbf2..57ce62c5 100644 --- a/src/content/docs/docs/network-monitoring/network-page.mdx +++ b/src/content/docs/docs/network-monitoring/network-page.mdx @@ -23,7 +23,7 @@ Selecting a tile filters the feed below to that category. The **Current problems** feed lists active issues, worst first, one row per affected device. A device with several faults collapses into a single row with its most severe problem as the headline. Each row links to the device drawer. -[Reachability-check sites](/docs/network-monitoring/reachability-checks/) appear here too. A failed gateway probe shows as the gateway being unreachable; a failed internet probe as an uplink problem. A site that stops reporting entirely shows as **Site not reporting** — for a site with one internet link, that's how an outage surfaces, because the agent can't send a failure over the link that's down. +[Reachability-check sites](/network-monitoring/reachability-checks/) appear here too. A failed gateway probe shows as the gateway being unreachable; a failed internet probe as an uplink problem. A site that stops reporting entirely shows as **Site not reporting** — for a site with one internet link, that's how an outage surfaces, because the agent can't send a failure over the link that's down. The **status board** groups your devices into cards. Switch the grouping between **Site**, **Role**, and **Vendor**. Each card takes the worst status among its devices and shows a `healthy / total` count, so you see both the state and how much is affected at a glance. Problem groups float to the top, and healthy groups collapse. diff --git a/src/content/docs/docs/synthetic/monitors/index.mdx b/src/content/docs/docs/synthetic/monitors/index.mdx index c64032bb..01190b35 100644 --- a/src/content/docs/docs/synthetic/monitors/index.mdx +++ b/src/content/docs/docs/synthetic/monitors/index.mdx @@ -6,6 +6,8 @@ sidebar: --- The Monitors page displays all monitors created within the current workspace, providing key status information at a glance for quick assessment of monitoring health. +When creating or editing any monitor (except Push), click **Test** next to **Save Monitor** to run the check once from your selected locations and preview the result before you save. + ### Monitors Overview - **Name**: The user-defined name of each monitor, for easy identification. From 84d6d692080b8fc0b5aa5c595bd3caeaf048fecf Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Thu, 23 Jul 2026 15:45:18 +0530 Subject: [PATCH 24/39] agent doc update --- .../kloudmate-agent/ebpf-network-topology.mdx | 31 ++++++++++++------- .../kloudmate-agent/ebpf-observability.mdx | 4 +-- .../installation/ecs-agent.mdx | 25 +++++++++++++-- 3 files changed, 44 insertions(+), 16 deletions(-) diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-network-topology.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-network-topology.mdx index fadd6205..3b9bcfa2 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-network-topology.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-network-topology.mdx @@ -1,6 +1,6 @@ --- title: "eBPF network topology" -description: "How the KloudMate agent builds host-to-host network topology from eBPF flows on VMs, and how to group peers into zones with KM_EBPF_NETWORK_CIDRS." +description: "How the KloudMate agent builds a bounded host-to-host network map from eBPF flows on VMs, using host IP and CIDR zones instead of unbounded per-peer addresses." sidebar: label: "Network topology (eBPF)" order: 5.5 @@ -8,35 +8,42 @@ sidebar: import { LinkCard, CardGrid } from '@astrojs/starlight/components'; -On a VM host, the agent's [eBPF monitoring](../ebpf-observability/) reports Layer 4 network flows straight from the kernel. Each flow now carries the address of both ends, so KloudMate can draw the connections between your hosts automatically, with no configuration. +On a VM host, the agent's [eBPF monitoring](../ebpf-observability/) reports Layer 4 network flows straight from the kernel. KloudMate turns those flows into a host-to-host map of what talks to what across your fleet. This is a metrics-only signal. It is separate from application tracing: a host can report network flows without any application spans, and enabling it does not instrument any process. -## Host-to-host edges, with no configuration +## Bounded by design -Every flow the agent emits carries its **source and destination peer address** by default. KloudMate uses those addresses to match each end to the host behind it and to draw a topology edge between them. You get a host-to-host map of what talks to what as soon as the agent is running. +The flow metric is deliberately kept low-cardinality. Each flow carries its **direction**, plus a source and destination **zone** label when you have zones configured (see below). It does **not** carry a label per peer address. -This closes an earlier gap. VM flows used to carry no peer identity, so KloudMate could not connect one VM to another. Naming both ends of every flow is what gives the VM path the same topology that Kubernetes already had. +This matters on any host that talks to the public internet. Emitting a raw address for every peer would let one internet-facing service produce an unbounded number of metric series. Keeping the flow to direction and coarse zones means its cardinality stays flat no matter how many external addresses a host reaches. -Network flow monitoring is **on by default** wherever the kernel supports eBPF. It is capability-gated the same way as the rest of eBPF, so a host that cannot load it degrades to metrics and logs rather than failing. To turn it off, set `KM_EBPF_NETWORK_ENABLED=false`. +## How KloudMate places a host on the map + +Each agent reports its **own host IP** as a resource attribute (`host.ip`), so it rides along on every signal the host sends, including these flow metrics. KloudMate uses it two ways: + +- **A fleet address book.** KloudMate learns which host owns which IP across every agent, so it can resolve the ends of a flow to real hosts. +- **A "which end is me" anchor.** The `host.ip` on a flow is the host that observed it. The other end of the flow is the peer. + +Together these let KloudMate draw an edge between two of your hosts from a flow that itself only carries direction and zones. ## Group peers into zones with CIDRs -Addresses give you an exact peer per flow. On top of that, you can add a coarser **zone** label so you can group traffic by network range, for example "app tier", "database subnet", or "everything external". +Peers are grouped into zones by CIDR range, and KloudMate assembles that range set from your fleet automatically: each host it knows about becomes a `/32`, plus a `0.0.0.0/0` catch-all for everything else. A flow to another host in the fleet lands in that host's `/32` and resolves to a machine; all other traffic collapses into the catch-all, which is what keeps external peers from inflating the signal. -Set `KM_EBPF_NETWORK_CIDRS` to a comma-separated list of CIDR ranges. The agent tags each flow with the source and destination zone that its addresses fall into, alongside the per-peer addresses it already carries: +You can add your own ranges on top. Set `KM_EBPF_NETWORK_CIDRS` to a comma-separated list of CIDRs to label traffic by your own network segments, for example an app tier or a database subnet: ```bash KM_EBPF_NETWORK_CIDRS="10.0.1.0/24,10.0.2.0/24,10.0.0.0/8" ``` -Zones are optional. With no CIDRs set, flows still carry their peer addresses and still build the topology edges; you only lose the coarser grouping. A `0.0.0.0/0` entry acts as a catch-all that buckets any address not matched by a more specific range. +## Turning it on and off -## Cardinality of external peers +Network flow monitoring is **on by default** wherever the kernel supports eBPF. It is capability-gated the same way as the rest of eBPF, so a host that cannot load it degrades to metrics and logs rather than failing. To turn it off, set `KM_EBPF_NETWORK_ENABLED=false`. -Peer addresses are per-peer by design, and on an internal network that set is small and stable. A host that talks to many **external** addresses (a public-facing service, an outbound crawler) can produce a large number of distinct peers, which raises the metric cardinality of the flow signal. +## Gotcha: a host can report more than one IP -If you see this, the practical control today is to bucket external traffic into a single zone with a `0.0.0.0/0` catch-all in `KM_EBPF_NETWORK_CIDRS`, so many external addresses collapse to one zone label. A built-in bound on external-peer cardinality is a planned follow-up. +`host.ip` reports every non-loopback address on the host, which can include a Docker bridge address such as `172.17.0.1` and IPv6 link-local addresses such as `fe80::…`. Only the routable address (your VPC or LAN IP) is meaningful. If a host resolves oddly, check that its routable IP is the one being matched. ## Related diff --git a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx index ef96a59e..68b3c1ee 100644 --- a/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx +++ b/src/content/docs/docs/kloudmate-agent/ebpf-observability.mdx @@ -17,7 +17,7 @@ When eBPF monitoring is active, the agent collects: - **RED metrics** (Rate, Errors, and Duration) for your services, with no instrumentation. - **Service dependencies**, used to build the visual service map, including peer-to-peer latency. -- **Network topology:** host-to-host Layer 4 flow edges, built from the peer addresses on each flow. See [eBPF network topology](../ebpf-network-topology/). +- **Network topology:** a host-to-host map of Layer 4 flows across your fleet. See [eBPF network topology](../ebpf-network-topology/). - **Database Activity Monitoring (DAM):** kernel-level capture of database queries on the wire, with no credentials. - **Distributed context propagation:** the agent reads and injects HTTP trace context (`traceparent`), so requests stay on one trace across services. - **Log-to-trace correlation:** trace identifiers are added to application logs so you can jump between a log line and its trace. @@ -131,6 +131,6 @@ Once the agent is collecting eBPF telemetry, confirm it in these views: - + diff --git a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx index 8bac1d20..23608dbc 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/ecs-agent.mdx @@ -121,7 +121,7 @@ eBPF needs a privileged task with host PID and network access, which the daemon If your organization forbids privileged ECS tasks, eBPF monitoring won't run: set `KM_EBPF_ENABLED=false`. SDK-instrumented services (Java/Node/Python/.NET) still get full APM, but Go and other runtimes won't be traced. You still get host metrics, container metrics, and logs. ::: -The EC2 instances also need their instance role to allow pulling images and writing logs. The AWS-managed `AmazonEC2ContainerServiceforEC2Role` policy covers it; a missing role shows up as image-pull failures on the agent tasks. +The EC2 instances also need their container-instance role to allow pulling images. The AWS-managed `AmazonEC2ContainerServiceforEC2Role` policy covers it; a missing role shows up as image-pull failures on the agent tasks. ### Fargate launch type @@ -167,7 +167,8 @@ Set these as environment variables on the command: | `KM_ECS_LAUNCH_TYPE` | Yes | none | `ec2` or `fargate`. | | `KM_ECS_SERVICES` | Fargate; optional on EC2 | none | Comma-separated services to SDK-instrument (Java/Node/Python/.NET). | | `KM_COLLECTOR_ENDPOINT` | No | `https://otel.kloudmate.com:4318` | Where telemetry is sent. | -| `KM_REGION` | No | `aws configure get region` | Region for the agents' own CloudWatch logs. | +| `KM_REGION` | No | `aws configure get region` | AWS region for the ECS API, and the `awslogs` region when `KM_ECS_LOG_GROUP` is set. | +| `KM_ECS_LOG_GROUP` | No | none | CloudWatch log group for the agent's own sidecar and daemon logs, for example `/kmagent/ecs`. Off by default: nothing is written to CloudWatch (no `logs:*` IAM, no extra cost), and the collector self-ships its errors to KloudMate instead. Setting it needs the permissions in the note below. | | `KM_API_KEY_SECRET_ARN` | No | none | Reference the key from Secrets Manager instead of inlining it. | | `KM_EBPF_ENABLED` | No | `true` | EC2 daemon eBPF monitoring (traces Go and other non-SDK services). | | `KM_AGENT_BIN` | No | none | Path to a native `kmagent` binary for the injection step, so Docker isn't needed. | @@ -176,6 +177,26 @@ Set these as environment variables on the command: Two flags are passed after `--` rather than as environment variables: `--yes` skips the Fargate confirmation prompt, and `--dry-run` prints the task definitions without registering them. +#### Capture the agent's own logs in CloudWatch (optional) + +By default the agent's sidecars and EC2 daemon don't write their own container logs to CloudWatch, so no `logs:*` IAM is required and there's no extra CloudWatch cost. A running agent stays observable regardless: the collector ships its own error logs to KloudMate out-of-band, where you'll find them under `service.name=kmagent` in [Log Explorer](../../../logs/log-explorer/). + +Set `KM_ECS_LOG_GROUP` (for example `/kmagent/ecs`) to also send the sidecars' and daemon's own logs to CloudWatch. This mainly helps catch sidecar startup or staging failures on Fargate, where there's no `docker logs` to fall back on. + +:::caution + **Setting `KM_ECS_LOG_GROUP` adds an IAM requirement.** The role that runs the agent's containers, the **task execution role** on Fargate or the **container-instance role** on EC2, then needs CloudWatch Logs permissions for that group. The agent asks ECS to create the group on first run, and the stock `AmazonECSTaskExecutionRolePolicy` grants `logs:CreateLogStream` and `logs:PutLogEvents` but not `logs:CreateLogGroup`, so without it the task fails to start with `ResourceInitializationError: ... AccessDeniedException`. +::: + +Attach an inline policy for the three actions on that group, or create the group yourself before you run the installer: + +```json +{ + "Effect": "Allow", + "Action": ["logs:CreateLogGroup", "logs:CreateLogStream", "logs:PutLogEvents"], + "Resource": "arn:aws:logs:*:*:log-group:/kmagent/ecs:*" +} +``` + ## Check What's Instrumented The one-line script is the bulk path. For a per-service view, and to instrument a single service without Docker, the `kmagent` binary has an `ecs` subcommand set. Use it to check whether a service is instrumented, especially for Fargate tasks, which never register in the agents list. From 3720c400649cb5fea049ce610f456fd7d0e08ddc Mon Sep 17 00:00:00 2001 From: Amitava Saha Date: Thu, 23 Jul 2026 20:49:23 +0530 Subject: [PATCH 25/39] agent doc update --- AGENTS.md | 1 + .../advanced-configuration.mdx | 2 +- .../auto-instrumentation/language-support.mdx | 31 ++ .../installation/aws-asg-deployment.mdx | 317 +++++++----------- .../installation/linux-agent.mdx | 2 + .../reference/agent-config.mdx | 96 ++++++ 6 files changed, 250 insertions(+), 199 deletions(-) create mode 100644 src/content/docs/docs/kloudmate-agent/reference/agent-config.mdx diff --git a/AGENTS.md b/AGENTS.md index 583cd596..84167378 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -26,6 +26,7 @@ Good documentation reads like a knowledgeable colleague explaining something at ### Sound like a person, not a model +- Say it plainly, and don't dramatize. Don't set up a point with a rhetorical line before delivering it, and don't dress a plain fact in drama. Lines like "Autonomous mode is the answer," "That doesn't fit here," "Only the delivery vehicle differs," or a trailing tag like "which it is" read as AI voiceover. State the fact instead: "Autonomous mode removes the per-instance UI step." Cut figurative labels ("delivery vehicle," "zero-touch level") and tacked-on editorial asides ("the standard immutable-infrastructure model"). If a sentence sounds like a product pitch or a trailer voiceover, keep the fact and drop the performance. - Vary your sentence length. A run of identical medium-length sentences is the clearest sign a machine wrote the page. Mix short, direct lines with longer explanatory ones. - Watch for repeated sentence openers, too. Three sentences in a row that start with the same word — especially the product name — turn into a drumbeat. Recast some of them so the reader, an action, or the result leads instead. - Contractions are good and usually better: "don't," "you'll," "it's." They match how people actually talk. diff --git a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx index c8d4e692..0308af4e 100644 --- a/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx +++ b/src/content/docs/docs/kloudmate-agent/advanced-configuration.mdx @@ -15,7 +15,7 @@ Switching an agent to **manual mode** gives you the raw collector YAML through t If you only need to add one component on top of the managed configuration, the [custom config override](../custom-config-override/) is lighter: it layers your YAML on top of managed mode and keeps the feature toggles working, so you do not have to hand-edit the whole configuration. -The agent's own settings (such as the API key, host name override, and health reporting) are set through `agent.yaml`, environment variables, or command-line flags on the host, and through Helm values on Kubernetes. +The agent's own settings (such as the API key, host name override, and health reporting) are set through `agent.yaml`, environment variables, or command-line flags on the host, and through Helm values on Kubernetes. See the [configuration reference](../reference/agent-config/) for every setting, its environment variable, and its default. ## Sampling diff --git a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/language-support.mdx b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/language-support.mdx index e16c2f1e..b230bd53 100644 --- a/src/content/docs/docs/kloudmate-agent/auto-instrumentation/language-support.mdx +++ b/src/content/docs/docs/kloudmate-agent/auto-instrumentation/language-support.mdx @@ -22,6 +22,7 @@ For the per-service flow, restart consent, and rollback that apply to every path | .NET | Startup drop-in, then restart | Run under systemd | Run under systemd | | PHP | `php.ini` scan directory, graceful reload | `php.ini` scan directory, graceful reload | `php.ini` scan directory, graceful reload | | Go | eBPF monitoring, no injection | eBPF monitoring, no injection | eBPF monitoring, no injection | +| Ruby | eBPF monitoring, no injection | eBPF monitoring, no injection | eBPF monitoring, no injection | Every path exports to the agent's local collector, so an instrumented service shares one trace with the [eBPF monitoring](../../ebpf-observability/) around it. @@ -71,6 +72,35 @@ PHP is instrumented through the PHP configuration, not a process restart. The ag Go is not injected. It is covered by [eBPF monitoring](../go-ebpf/), which gives Go services RED metrics, the service map, and spans from the kernel with no attach step. This is the same on systemd, PM2, and bare processes. +## Ruby + +Ruby is not injected either. The agent injects Java, Node.js, Python, .NET, and PHP; Ruby is not one of them, on any process manager. A Ruby app has two levels of coverage: + +- **eBPF monitoring, with no code change.** [eBPF](../../ebpf-observability/) gives a Ruby service HTTP server spans, RED metrics, and the service map from the kernel, with no gem and on any Ruby version. This is the same as Go. +- **Deep Ruby tracing** (ActiveRecord queries, controller actions) needs the OpenTelemetry Ruby gems in the app's `Gemfile`, exporting to the agent's local collector. Bundler loads gems from inside the app's bundle, so the agent can't add them from outside; they have to be in the `Gemfile`. + + ```ruby + # Gemfile + gem 'opentelemetry-sdk' + gem 'opentelemetry-instrumentation-all' + ``` + + ```ruby + # config/initializers/opentelemetry.rb + require 'opentelemetry/sdk' + require 'opentelemetry/instrumentation/all' + OpenTelemetry::SDK.configure { |c| c.use_all } + ``` + + Set the service name and export endpoint through the app's environment: + + ```text + OTEL_SERVICE_NAME=my-rails-app + OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 + ``` + + The current OpenTelemetry Ruby gems need **Ruby 3.3 or newer**. On Ruby 3.0 to 3.2 you have to pin older gem versions, and on Ruby 2.x they won't install at all. On those versions, rely on eBPF monitoring, which doesn't depend on the Ruby version. + ## How discovered services are named and filtered The agent keeps the Discovered Services list to real application workloads: @@ -88,6 +118,7 @@ Keep these in mind, especially on the runtime-attach path: - **JDK 21 and newer print a dynamic-agent-loading warning.** Runtime attach triggers the JVM's `A future release of the JVM may disallow dynamic loading of agents by default` warning ([JEP 451](https://openjdk.org/jeps/451)). It is harmless today. A future JVM may require you to start the app with `-XX:+EnableDynamicAgentLoading` for runtime attach to keep working. - **Bare Node.js and Python need a supervisor.** Without systemd or PM2, there is no automatic attach path for these runtimes. - **Go is eBPF-only.** There is no code injection for Go; its coverage comes from eBPF monitoring. +- **Ruby is eBPF-only for zero-code.** The agent does not inject Ruby. Deep Ruby tracing (ActiveRecord, controllers) needs the OpenTelemetry Ruby gems added to the app, which require Ruby 3.3 or newer. ## Related diff --git a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx index 1a1ec05b..ec186d6a 100644 --- a/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx +++ b/src/content/docs/docs/kloudmate-agent/installation/aws-asg-deployment.mdx @@ -1,248 +1,169 @@ --- -title: "AWS Auto Scaling Group (ASG)" -description: "Documentation for AWS ASG Deployment" +title: "AWS Auto Scaling & Elastic Beanstalk" +description: "Run the KloudMate agent in autonomous auto-instrument mode on Auto Scaling groups and Elastic Beanstalk, so each new instance instruments itself with no per-instance UI step." sidebar: order: 7 --- -Deploy `kmagent` across an Auto Scaling Group with zero manual per-instance work. Configure once in the Launch Template, every instance (existing + future scale-outs) gets the agent automatically. -:::note -Once an instance's agent checks in, it starts in managed mode and begins collecting host metrics, logs, and the [eBPF monitoring](../../ebpf-observability/) automatically. See the [configuration model](../../concepts/config-model/) and [host metrics and logs](../../baseline/host-metrics-and-logs/). -::: +Auto Scaling groups and Elastic Beanstalk environments create and replace instances automatically. The usual install flow assumes a stable host: you install the agent, then choose which apps to instrument in the KloudMate UI. That approach doesn't work when instances are transient, because there's no lasting host to configure and a setting made on one instance isn't carried to the next. -## Prerequisites +Autonomous auto-instrument mode removes the per-instance UI step. The agent discovers and instruments everything on the instance itself, without a backend round-trip, and you provide its configuration as files through the platform's provisioning step: user-data for an Auto Scaling group, or a `.platform` hook for Elastic Beanstalk. Telemetry is identified by your API key, so a new instance starts reporting as soon as it boots. -- AWS CLI configured with appropriate permissions -- An existing ASG with a Launch Template -- IAM Instance Profile attached to your ASG instances -- SSM Agent running on instances (default on Amazon Linux / Ubuntu AMIs) +An Elastic Beanstalk environment runs on an Auto Scaling group underneath, so the agent configuration is the same for both; only the way you deliver it differs. -### Step 1: Store API Key in SSM Parameter Store +## What autonomous mode collects -Never hardcode secrets in user data. Use SSM Parameter Store with encryption: +With auto-instrument turned on, every instance gets the following, with no UI step: -```bash -aws ssm put-parameter \ - --name "/kloudmate/api-key" \ - --value "your-actual-km-api-key" \ - --type SecureString \ - --region ap-south-1 -``` +- **eBPF monitoring.** HTTP server spans, RED metrics, and the service map for every app, whatever the language, with no code change. It's also the only tracing path for runtimes with no SDK injector, such as Ruby and Go. See [eBPF observability](../../ebpf-observability/). +- **SDK auto-instrumentation.** Deeper, in-process traces for Java, .NET, Node.js, Python, and PHP. The agent injects the SDK through a systemd drop-in and restarts each app once to pick it up. +- **Host metrics and logs.** The metrics the agent always collects, plus any log files you point it at with the drop-ins below. -### Step 2: IAM Permissions +Because `service.name` comes from each app's stable identity rather than the instance, every instance of one app rolls up as a single service in KloudMate, with a per-instance breakdown still available. See [Telemetry identity](../../reference/telemetry-identity/). -Ensure your ASG's IAM Instance Profile has permission to read the SSM parameter: +## Before you start -```bash -{ - "Version": "2012-10-17", - "Statement": [ - { - "Effect": "Allow", - "Action": "ssm:GetParameter", - "Resource": "arn:aws:ssm:ap-south-1:YOUR_ACCOUNT_ID:parameter/kloudmate/*" - } - ] -} -``` +You need: -If using **SSM Run Command** (Step 5, Option B), also add: +- Your **KloudMate API key**. +- The **collector endpoint**, `https://otel.kloudmate.com:4318`. +- Instances on a supported Linux (Amazon Linux 2 or 2023, Ubuntu, Debian, or the RHEL family). eBPF monitoring needs a modern kernel, which the standard AWS AMIs have. -```bash -{ - "Effect": "Allow", - "Action": [ - "ssm:SendCommand", - "ssm:ListCommandInvocations" - ], - "Resource": "*" -} -``` +Both examples below put the API key directly into the provisioning step. To keep it out of the launch template, read it from SSM Parameter Store or Secrets Manager instead and set `KM_API_KEY` from there; that's the only line that changes. -### Step 3: Create the User Data Script +## Auto Scaling group -Save this as `userdata.sh`: +Put this in the launch template's **user-data**. It writes the agent configuration, installs the agent with autonomous mode on, and starts it. The script is idempotent, so it's safe to run on every instance launch. ```bash #!/bin/bash set -euo pipefail -# ----------------------------------------------- -# Fetch API key from SSM (IMDSv2 compatible) -# ----------------------------------------------- -REGION=$(curl -sf http://169.254.169.254/latest/meta-data/placement/region) -TOKEN=$(curl -sf -X PUT "http://169.254.169.254/latest/api/token" \ - -H "X-aws-ec2-metadata-token-ttl-seconds: 60") - -KM_API_KEY=$(aws ssm get-parameter \ - --name "/kloudmate/api-key" \ - --with-decryption \ - --query "Parameter.Value" \ - --output text \ - --region "$REGION") - -# ----------------------------------------------- -# Install kmagent -# ----------------------------------------------- -curl -fsSL https://raw.githubusercontent.com/kloudmate/km-agent/main/install.sh \ - | bash -s -- \ - --api-key "$KM_API_KEY" \ - --colector-endpoint "https://otel.kloudmate.com" - -# ----------------------------------------------- -# Verify -# ----------------------------------------------- -if systemctl is-active --quiet kmagent; then - echo "[kloudmate] Agent installed and running" -else - echo "[kloudmate] ERROR: Agent failed to start" - journalctl -u kmagent --no-pager -n 20 - exit 1 -fi +export KM_API_KEY="YOUR_API_KEY" +export KM_COLLECTOR_ENDPOINT="https://otel.kloudmate.com:4318" +export KM_AUTO_INSTRUMENT=true # autonomous from the first start: no UI step, no per-instance registration + +# 1) Optional log collection: one YAML list of sources per file, read when the agent starts (see below). +install -d -m 755 /etc/kmagent/logs.d +cat > /etc/kmagent/logs.d/app.yaml <<'EOF' +- name: my-app + include: [ /var/log/my-app/*.log ] + format: json + parsing: { timestamp_field: ts, severity_field: level, message_field: msg } + attributes: { service.name: my-app } +EOF + +# 2) Install and start. The installer detects the OS, pulls the package, and sets up the systemd service. +curl -fsSL https://cdn.kloudmate.com/scripts/install_linux.sh | bash ``` -### Step 4: Apply User Data to Launch Template - - -Via AWS CLI - - ```bash - # Create a new Launch Template version with user data - aws ec2 create-launch-template-version \ - --launch-template-name your-template-name \ - --source-version '$Latest' \ - --launch-template-data '{ - "UserData": "'$(base64 -w0 userdata.sh)'" - }' - - # Point ASG to use the latest version - aws autoscaling update-auto-scaling-group \ - --auto-scaling-group-name your-asg-name \ - --launch-template "LaunchTemplateName=your-template-name,Version=\$Latest" - ``` - - Via AWS Console - - ```none - Go to EC2 → Launch Templates → your-template - Click Actions → Modify template (Create new version) - Scroll to Advanced details → User data - Paste the contents of userdata.sh - Click Create template version - Go to Auto Scaling Groups → your-asg - Click Edit → Launch Template → Version → Latest - Save - ``` - - -### Step 5: Roll Out to Existing Instances +## Elastic Beanstalk -The new user data only executes on **newly launched** instances. To deploy on your existing 50 instances, choose one of the following: +Elastic Beanstalk runs a provisioning hook on each instance. On the current Amazon Linux 2 and 2023 platforms, use a platform hook, because your environment properties are available there. -***Option A: Instance Refresh*** +**1. Set the environment properties** on the environment (Console → Configuration → Software → Environment properties, or `eb setenv`): -**Rolling Replace** - -Terminates and replaces instances in batches. Each new instance boots with the updated user data and gets kmagent automatically. - -```bash -aws autoscaling start-instance-refresh \ - --auto-scaling-group-name your-asg-name \ - --preferences '{ - "MinHealthyPercentage": 90, - "MaxHealthyPercentage": 110, - "InstanceWarmup": 120 - }' +```text +KM_API_KEY = YOUR_API_KEY +KM_COLLECTOR_ENDPOINT = https://otel.kloudmate.com:4318 ``` -**How it works:** -- Keeps **90% of instances healthy** at all times -- Replaces \~5 instances at a time (for a fleet of 50) -- Each batch waits for health checks to pass before proceeding -- Total rollout time: \~20-30 minutes depending on health check config - -**Monitor progress:** +**2. Add a predeploy hook** to your application source bundle at `.platform/hooks/predeploy/01-kmagent.sh`, and make it executable with `chmod +x`: ```bash -aws autoscaling describe-instance-refreshes \ - --auto-scaling-group-name your-asg-name -``` +#!/bin/bash +set -euo pipefail -***Option B: SSM Run Command*** +# Bring the Elastic Beanstalk environment properties into the shell. +[ -f /opt/elasticbeanstalk/deployment/env ] && { set -a; . /opt/elasticbeanstalk/deployment/env; set +a; } +: "${KM_API_KEY:?set KM_API_KEY as an Elastic Beanstalk environment property}" +: "${KM_COLLECTOR_ENDPOINT:=https://otel.kloudmate.com:4318}" +export KM_AUTO_INSTRUMENT=true + +# 1) Log collection. A Rails app on Elastic Beanstalk usually logs to +# /var/app/current/log/production.log, or its captured stdout at /var/log/web.stdout.log. +install -d -m 755 /etc/kmagent/logs.d +cat > /etc/kmagent/logs.d/rails.yaml <<'EOF' +- name: rails + include: [ /var/app/current/log/production.log ] + format: plaintext + attributes: { service.name: my-rails-app } +EOF + +# 2) Install once. On later deploys the agent is already there, so restart it to pick up any logs.d change. +if ! command -v kmagent >/dev/null 2>&1; then + export KM_API_KEY KM_COLLECTOR_ENDPOINT + curl -fsSL https://cdn.kloudmate.com/scripts/install_linux.sh | bash +else + systemctl restart kmagent +fi +``` -**In-Place Install, No Downtime** +## Configure log collection -Installs the agent on running instances without replacing them. Fastest path to full coverage. +Autonomous mode has no UI, so the agent reads its log sources from files: every `*.yaml` or `*.yml` file in **`/etc/kmagent/logs.d/`**, at startup. (Point it at a different directory with `KM_LOG_SOURCES_DIR`.) Each file is a YAML list of sources, and you can add as many files as you need; they merge in filename order. An empty directory means no log collection, so it's entirely opt-in. -```bash -aws ssm send-command \ - --targets "Key=tag:aws:autoscaling:groupName,Values=your-asg-name" \ - --document-name "AWS-RunShellScript" \ - --parameters 'commands=[ - "REGION=$(curl -sf http://169.254.169.254/latest/meta-data/placement/region)", - "TOKEN=$(curl -sf -X PUT http://169.254.169.254/latest/api/token -H X-aws-ec2-metadata-token-ttl-seconds:60)", - "KM_API_KEY=$(aws ssm get-parameter --name /kloudmate/api-key --with-decryption --query Parameter.Value --output text --region $REGION)", - "curl -fsSL https://raw.githubusercontent.com/kloudmate/km-agent/main/install.sh | bash -s -- --api-key $KM_API_KEY --collector-endpoint https://otel.kloudmate.com" - ]' \ - --max-concurrency "10" \ - --max-errors "5" \ - --comment "Install kmagent on ASG fleet" -``` +Each source takes these fields: -**How it works:** -- Runs on **10 instances at a time** (--max-concurrency 10) -- All 50 instances done in **5 batches** -- Stops if more than 5 instances fail (--max-errors 5) -- **Zero downtime**: no instance restarts required +| Field | Required | Notes | +|---|---|---| +| `name` | Yes | Source name, also stamped on every record as `km.log.source`. | +| `include` | Yes | List of file globs to tail. | +| `exclude` | No | List of globs to skip. | +| `format` | Yes | `plaintext`, `json`, or `regex`. | +| `parsing` | For `json` and `regex` | Parsing rules: `timestamp_field`, `timestamp_layout` (`iso8601`, `rfc3339`, `unix`, `unix_ms`, or `custom` with `custom_layout`), `severity_field`, `message_field`, `regex`, `multiline_pattern`, `encoding`. | +| `attributes` | No | Extra resource attributes. Set `service.name` to the app's name so its logs join its traces. | +| `include_file_path` | No | Add the source file's path as an attribute. | -**Monitor progress:** +A JSON application log: -```bash -# Get command ID from send-command output, then -aws ssm list-command-invocations \ - --command-id "COMMAND_ID" \ - --details \ - --query "CommandInvocations[].{Instance:InstanceId,Status:Status}" \ - --output table +```yaml +# /etc/kmagent/logs.d/checkout.yaml +- name: checkout + include: [ /var/log/checkout/*.log ] + format: json + parsing: { timestamp_field: ts, severity_field: level, message_field: msg } + attributes: { service.name: checkout } ``` -**Which Option to Choose?** +An nginx access log, parsed with a regex: + +```yaml +# /etc/kmagent/logs.d/nginx.yaml +- name: nginx + include: [ /var/log/nginx/access.log ] + format: regex + parsing: + regex: '^(?P\S+) - (?P\S+) \[(?P

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