Best Pod Rightsizing Tools for Kubernetes

Kubernetes clusters typically face challenges with low CPU utilization and high memory overprovisioning, leading to inefficiencies in resource usage. To address these issues, pod rightsizing tools are categorized into recommendation-only tools like Goldilocks, KRR, and VPA in Off/Initial mode, and continuous automation tools like Cast AI. The report highlights that average CPU utilization across production clusters is at 8%, with 69% of clusters experiencing CPU overprovisioning and 79% facing memory overprovisioning. Continuous automation tools, particularly Cast AI, are noted for their capability to perform in-place resizing without pod restarts on supported Kubernetes versions, thereby minimizing disruptions compared to eviction-based approaches. The choice of tool largely depends on the scale of workloads, the need for automation, compatibility with HPA, and the nature of workloads, with stateful services benefiting from automation that avoids pod eviction. The emergence of in-place resizing in Kubernetes version 1.33 and beyond significantly changes the landscape, providing a more efficient method for resource optimization without the typical drawbacks of evictions.

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