OpsPilot Now Writes Your Workload Scaling Policies. You Just Set the Intent.

Platform engineers face challenges in maintaining stable production environments due to the uniform application of provisioning logic across different environments, leading to overprovisioning in Kubernetes clusters. The 2026 State of Kubernetes Optimization Report highlights widespread overprovisioning, with CPU and memory utilization averaging 8% and 20%, respectively. While overprovisioning in production environments is somewhat acceptable to ensure stability, it results in waste in development and staging environments where workloads run intermittently. Traditional tools lack the flexibility to enforce differentiated rightsizing strategies, and manual adjustments are cumbersome. Cast AI's OpsPilot addresses this by using AI to interpret cluster signals and generate custom policies based on real-time data, workload behavior, and risk profiles, allowing for tailored resource management. OpsPilot automates policy creation and adjustment, eliminating the need for static rules and manual interventions, and is available for all Cast AI customers, offering continuous, AI-driven optimization of Kubernetes workloads.

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