Kubernetes Clusters Waste 40-70% of Resources Due to Absent Feedback Loops

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Kubernetes, widely used for cloud-native infrastructure, suffers from systemic resource over-provisioning that leaves 40-70% of allocated CPU and memory idle. Teams typically set resource requests during initial deployment with limited real-world data, defaulting to generous allocations to avoid outages. Once configured, these values are rarely revisited, and new services inherit inflated figures from legacy configurations, perpetuating the waste cycle. The core problem is not a lack of tools or expertise but the absence of a structured feedback process to reconcile actual usage data with existing allocations. Without automated review mechanisms, inefficiencies compound over time, driving up infrastructure costs and reducing cluster scalability.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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