Improving Kubernetes Resource Efficiency with Automated Feedback Loops to Reduce Over-Provisioning

Short summary

Kubernetes clusters suffer from systemic over-provisioning because resource requests are set during initial deployment and rarely revisited. Audits comparing 30-day P95 usage against allocated requests consistently show 40-70% slack. The root cause is a missing feedback loop—no process exists to reconcile empirical usage data with initial allocations, perpetuating waste across deployment cycles.

• •Kubernetes over-provisioning is a process gap, not a tooling deficiency
• •Audits show 40-70% allocated-but-unused resources across typical deployments
• •Structured feedback loops are needed to periodically right-size resource requests

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