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kubernetescostdevopsreliability

Kubernetes Cost Optimization Playbook

A checklist-driven approach to reducing spend without breaking reliability: requests/limits, autoscaling, and workload placement.

Start with measurement

Before optimization, ensure you can answer:

  • What are the top namespaces by spend?
  • Which workloads are over-requesting CPU/memory?
  • Where is cluster waste coming from (idle nodes, oversized pools, noisy neighbors)?

High-leverage changes

  • right-size requests/limits using observed utilization
  • enable HPA/VPA where it makes sense (with safety bounds)
  • split node pools by workload type (batch vs latency-sensitive)
  • use spot/preemptible for tolerant workloads

Guardrails

Cost work must not regress reliability:

  • define SLOs first
  • ship changes incrementally
  • add rollback strategies