What This Stack Does
Kubernetes cost management requires both visibility and automation. This stack combines five tools that cover cost optimization, monitoring, troubleshooting, and infrastructure efficiency. CAST AI provides the most advanced automated optimization with predictive autoscaling, spot instance management, and zero-downtime live migration — customers report average savings of 63%. OpenCost gives you the open-source cost monitoring foundation with real-time Kubernetes cost allocation by namespace, deployment, and label.
Diagnostics and Virtual Clusters
K8sGPT adds AI-powered cluster diagnostics that translate Kubernetes issues into plain English explanations with actionable remediation suggestions. vCluster enables virtual Kubernetes clusters for development and testing, letting multiple teams share physical cluster resources without interference — dramatically reducing the infrastructure needed for non-production environments. Komodor provides the troubleshooting and operations layer, correlating changes with failures and using AI to reduce MTTR by 80%.
The Bottom Line
Deploy OpenCost first for cost visibility, then evaluate CAST AI for automated optimization on your highest-spend clusters. Use vCluster to consolidate dev/test environments. Add K8sGPT and Komodor for operational intelligence. The combined stack addresses the full FinOps lifecycle: visibility, optimization, governance, and operational efficiency.