"OpenCost: Kubernetes Cost Visibility and Allocation for Platform Teams"
Kubernetes makes spending fast, elastic, and—without rigor—politically explosive. This book is written for experienced platform engineers, SREs, and FinOps-minded technical leaders who need cost numbers that survive scrutiny: numbers you can explain, reproduce, and operationalize. If you've ever shipped a "cost dashboard" only to discover mismatched totals, missing workloads, or endless debates about idle spend, this is a field guide to making cost a dependable platform capability.
You'll build the mental models that prevent bad attribution, then move into OpenCost's architecture and its dependency on a trustworthy Prometheus pipeline. From production Helm deployments and upgrade hygiene to allocation dimensions, idle/shared overhead policies, and reconciliation against asset reality, the book focuses on decision frameworks and failure modes as much as configuration. You'll also learn to productize cost outputs through APIs, Prometheus metrics, UI/CLI workflows, and automation guardrails—turning visibility into durable interfaces and operational loops.
Expect deep coverage of governance: showback/chargeback processes, exception handling, and continuous optimization without destabilizing reliability. The book assumes solid Kubernetes and observability experience, and differentiates itself by treating cost as an SLO-backed data service—complete with contracts, validation suites, and forward-looking integration patterns.
