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📊 Krossboard is a Multi-cluster, Cross-Cloud & Cross-Distribution Kubernetes Usage Accounting & Analytics. Actively tested against Amazon EKS, Microsoft AKS, Google GKE, Red Hat OpenShift, & vanilla distros.
Infer ownership of untagged AWS resources from CloudTrail behaviour and write tags back — the open-source FinOps input layer. Methodology peer-validated on Microsoft Azure 2.6M-VM dataset.
Pure-SQL cost allocation and fully-loaded segment P&L on DuckDB. Compares naive revenue-weighted allocation to driver-based per-pool allocation; shows the reallocation delta and rebuilt margins that change the management decision.
Turn per-team database cost attribution data into a self-contained monthly chargeback report — inline SVG charts, anomaly callouts and budget tracking, no JS required.
Inference cost allocation for autonomous AI agent collaborations — Shapley-fair splitting, congestion pricing, token metering. Part of the Agent Trust Stack.
Attributes Snowflake warehouse credits down to individual queries, dashboards, teams and users using interval-overlap allocation with an explicit idle bucket. Ranks remediation by estimated monthly dollars. DuckDB and sqlglot, runs with zero cloud credentials. On the committed simulated trace, 74% of compute credits were idle.
Attribute cloud database spend to the teams, apps and features that caused it — joins pg_stat_statements deltas with billing exports to produce a defensible chargeback report.