Kubernetes Cost Optimization Checklist: 37 Checks Before You Touch Production

The 2026 State of Kubernetes Optimization Report by Cast AI highlights that average CPU utilization across Kubernetes clusters has decreased to 8%, with 69% of clusters over-provisioning CPU and 79% over-provisioning memory, indicating a decline in efficiency despite increased tooling and awareness. The root cause of these inefficiencies is structural, involving inflated requests and slow scale-down processes, compounded by a lack of cost ownership at the team level. Only 14% of teams implement chargeback for Kubernetes costs, which leads to unresolved issues due to lack of visibility and accountability. Systematic optimization can lead to significant savings, with reductions in over-requested resources resulting in potential cost savings of 30-70%. The guide emphasizes the importance of establishing visibility and cost monitoring, rightsizing pods, configuring autoscaling, and optimizing node efficiency and storage to mitigate unnecessary expenditure. Governance, through ResourceQuotas and LimitRanges, plays a critical role in maintaining cost discipline, and the implementation of a recurring audit process is crucial to sustaining these optimizations.

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