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Kubernetes Cost Optimization — How to Save 40% on Your K8s Cluster

25. 07. 2022 1 min read CORE SYSTEMSai
Kubernetes Cost Optimization — How to Save 40% on Your K8s Cluster

The Kubernetes cluster grows faster than the business. We keep adding nodes, but utilization sits at 25%. How to save without sacrificing performance?

Right-Sizing Pods

VPA recommendations showed: the average pod requests 4x more resources than it actually consumes. Systematic right-sizing — 30% compute savings. Goldilocks (Fairwinds) for automated recommendations.

Karpenter Instead of Cluster Autoscaler

Karpenter selects the optimal instance type for pending pods — not just scaling the count, but also the node type. A mix of ARM/x86, spot/on-demand. Bin packing: fewer nodes with higher utilization.

Namespace Quotas and Limit Ranges

Every namespace has a resource quota. A team can’t accidentally spin up 100 replicas. LimitRange sets default requests/limits for pods without explicit values.

Idle Resource Detection

Kubecost for per-namespace cost breakdown. Weekly report: “namespace X costs $Y and has Z% utilization.” Automatic alerting on idle workloads older than 7 days.

Kubernetes Cost ≠ Mystery

Right-sizing + Karpenter + visibility = 40% savings. FinOps for Kubernetes is a necessity, not a nice-to-have.

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