Oversized Kubernetes Resource Requests Blocked Node Consolidation in EKS Cluster

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An investigation into an Amazon EKS cluster managed by Karpenter revealed that nodes appeared underutilized on monitoring dashboards yet resisted consolidation. The root cause was a mismatch between actual workload resource consumption and configured Kubernetes resource requests — one workload used just 1m CPU but had 250m CPU requested. Because Kubernetes schedules based on declared requests rather than real-time usage, the scheduler treated nodes as more occupied than they actually were. This prevented Karpenter from efficiently packing workloads and consolidating nodes. The engineer concluded that right-sizing resource requests at the workload level was the correct first step, rather than adjusting Karpenter's consolidation settings.

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