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The Kubernetes component that rightsizes each pod's CPU and memory requests automatically.
Quick Definition
The Vertical Pod Autoscaler (VPA) is a Kubernetes component that adjusts the CPU and memory requests of pods based on observed usage. By rightsizing resource requests automatically, it reduces overprovisioning and improves both scheduling efficiency and cost.
The Vertical Pod Autoscaler, or VPA, is a Kubernetes component that adjusts how much CPU and memory individual pods request, based on what they actually use. Where the Horizontal Pod Autoscaler adds more copies of a pod, VPA makes each copy the right size.
It matters because humans guess resource requests badly. Engineers copy values from old configurations and add safety margin, so clusters fill with pods reserving four times what they use. Those reservations drive node counts, and node counts drive the bill. VPA replaces accumulated guesses with observed reality.
Example. A service requests 2 CPU cores per pod but uses 300 millicores at peak. VPA recommends 500 millicores; the cluster suddenly fits the same workload on half the nodes, and the Kubernetes bill follows.
Most teams begin with VPA in recommendation mode, applying suggestions through code review rather than live changes, since automatic resizing restarts pods. Even as a pure advisor, it is one of the fastest routes to cutting container costs. The Kubernetes cost guide and Kubernetes optimization tactics put VPA in the full toolkit.
Yes, if they manage different dimensions: VPA on memory while HPA scales replicas on CPU, for example. Letting both manage CPU causes conflicts.
Kubernetes historically could not change a running pod's resources, so applying new values means recreation. Recommendation mode avoids this entirely.
Clusters with hand-set requests commonly reserve 2 to 4 times actual usage, so correcting requests can cut compute cost by half.