Kubernetes
Kubernetes Cost Optimization: Practical Strategies That Save Real Money
Kubernetes clusters can become expensive fast. Over-provisioned nodes, idle replicas, and unoptimized storage add up. The good news is that Kubernetes provides the primitives to control costs precisely, from pod-level resource requests to cluster-wide autoscaling policies. Here are actionable strategies to reduce your cloud bill without sacrificing reliability.
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Right-Sizing Pods with Resource Requests and Limits
Most Kubernetes cost waste comes from pods requesting more CPU and memory than they use. The Vertical Pod Autoscaler (VPA) analyzes historical usage and recommends optimal resource requests. Run VPA in recommendation mode first to see suggestions without changing anything. A pod requesting 1 CPU but using 0.15 CPU wastes 85% of its allocated compute. Right-sizing across hundreds of pods can reduce node count significantly. Set requests to the P95 usage and limits to 2x the request for burst capacity.
Spot and Preemptible Instances
Spot instances (AWS), preemptible VMs (GCP), and spot VMs (Azure) cost 60-90% less than on-demand. Use them for stateless workloads, batch jobs, CI runners, and dev/staging environments. Create a separate node pool with spot instances and use taints and tolerations to schedule appropriate workloads there. Configure pod disruption budgets to ensure graceful handling when spot instances are reclaimed. Keep your critical production workloads on on-demand nodes and use spot for everything else.
Cluster Autoscaler and Node Pool Strategy
The Cluster Autoscaler adds nodes when pods are pending due to insufficient resources and removes nodes when they are underutilized. Configure it with `--scale-down-utilization-threshold=0.5` to remove nodes using less than 50% of their capacity. Use multiple node pools with different instance types: a small pool of reliable on-demand nodes for system workloads, a medium pool for production apps, and a large spot pool for burst capacity. Karpenter (AWS) is an alternative that provisions right-sized nodes on demand rather than relying on pre-defined node pools.
Namespace Resource Quotas and Cost Visibility
ResourceQuotas prevent individual teams or namespaces from consuming more than their fair share. Set quotas for CPU, memory, storage, and object count per namespace. LimitRanges define default and maximum resource requests for pods that do not specify them. For cost visibility, deploy Kubecost or OpenCost, which attribute costs to namespaces, labels, and individual workloads. Share cost reports with development teams so they understand the impact of their resource choices. Teams that see their costs tend to optimize them.
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