CAST AI

Start by connecting your Kubernetes clusters and let the platform shoulder the hard parts. Install the agent with Helm or connect via API, choose the namespaces you want under management, and review a live map of utilization, saturation, and spend. With one click, apply the proposed node mix: the platform selects VM families and sizes across your cloud accounts, places workloads densely, and respects PodDisruptionBudgets. Add guardrails such as min/max nodes, do-not-evict labels, node pools to exclude, and quiet hours for non-prod. Enable demand-based and schedule-based scaling, and opt into interruptible capacity with instant fallback to on-demand when capacity disappears. Pods move in place without restarts, so services stay online while nodes change under the hood.

For daily delivery work, wire CAST AI into CI/CD (GitHub Actions, GitLab, Jenkins, or Argo). Preview environments spin up on demand with right-sized requests and limits derived from recent metrics or templates, then auto-expire when the pull request closes. Batch and cron jobs are routed to the cheapest windows and nodes that still meet deadlines. Developers annotate deployments with SLOs or cost ceilings; policy rules prevent oversized containers, enforce affinities and taints, and cap namespace spend. Versioned policies and API calls make rollbacks and repeatability easy—no manual tuning or YAML spelunking. more