CloudBolt buys StormForge for ML rightsizing

CloudBolt bought StormForge to turn Kubernetes cost visibility into an action engine. StormForge sits at the pod layer, where teams decide how much CPU and memory each workload asks Kubernetes to reserve. Its ML system watches real usage, then changes requests and limits so clusters stop carrying large safety buffers. That makes it a narrower product than Cast AI or Turbonomic, but often an easier one to buy for teams whose main pain is pod waste, not full-stack infrastructure automation.

• StormForge monetized this as a SaaS tool priced by optimized vCPU, starting around $3 per vCPU per month with lower rates at volume. That pricing maps directly to the amount of compute under management, which is simple to understand but can become meaningful spend in very large estates.
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• CloudBolt had already partnered with StormForge before the March 31, 2025 acquisition, then folded it into a broader FinOps platform. The combined pitch is concrete, show container waste in finance dashboards, then let platform teams apply rightsizing actions inside the same workflow.
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• The competitive split is becoming clearer. Cast AI reaches lower into the cluster by replacing Cluster Autoscaler and reshaping nodes. Turbonomic spans a wider estate across containers, pods, nodes, VMs, and application dependencies. StormForge is strongest where the problem is specifically pod sizing and developer safe automation.
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This market is moving toward bundled optimization suites. Standalone pod rightsizing is valuable, but the winning products will connect recommendation, automation, procurement, and chargeback in one system. Inside CloudBolt, StormForge becomes the Kubernetes optimization module in a larger cloud spend platform, which should make focused pod intelligence easier to distribute into bigger enterprise deals.