Kubernetes Cost Optimization: Stop Buying Compute You Never Needed

Kubernetes clusters often carry outdated operational assumptions, leading to unnecessary resource provisioning. Teams can reduce costs by comparing pod requests to actual usage and removing unused workloads. This can result in savings of 30-40% on cluster costs. To achieve this, use tools like Grafana, Prometheus, and Kubecost to analyze resource usage and identify areas for optimization. By being honest about resource needs, teams can reduce waste and lower their monthly bills.