Amazon EKS Workload Optimization: How to Rightsize, Scale, and Eliminate Waste

Amazon EKS workload optimization is the practice of continuously aligning pod resource requests, replica counts, node provisioning, and workload placement with real application demand in production Kubernetes clusters. When done correctly, it reduces infrastructure waste while strengthening reliability — cost improvement follows as an outcome of better alignment, not as a tradeoff against it. Key Takeaways Pod CPU and memory requests are the highest-leverage optimization input. They shape scheduling, node provisioning, and total infrastructure spend.