CAST AI vs Klustercost

CAST AI is an Application Performance Automation platform for cloud-native operations and Kubernetes automation. It automates workload rightsizing, node scaling, GPU and Spot optimization, and issue remediation. Rightsizing adjusts CPU and memory requests, limits, and replicas in response to workload behavior. The platform says its engine can predict Spot interruptions up to 30 minutes ahead and migrate workloads before a slowdown. Agentic runbooks can address operational and security issues, with approval required for each change before it ships.

Teams can connect clusters in read-only mode without infrastructure changes. Listed environments include AWS, Google Cloud, Azure, Oracle Cloud, IBM Cloud, OpenShift, Rancher, VMware Tanzu, AliCloud, kOps, PostgreSQL, MySQL, and on-prem Kubernetes. Cost tools include allocation, spend forecasting, rightsizing guidance, and commitment management. CAST AI integrates with tools including Grafana, Terraform, Prometheus, Jira, and Pulumi. It is available on the web and as self-hosted software. Pricing is custom and available on request; a free trial is available.

Klustercost gives Kubernetes users cost visibility by workload, monitoring pods and assigning prices to nodes. Its Go-based observers use Kubernetes informers and Prometheus to track pods, nodes and namespaces in real time. Pod and node data is stored in PostgreSQL every 10 minutes, and nodes are enriched with hourly virtual-machine costs from Azure retail pricing APIs.

Users can ask questions in plain English and receive natural-language answers with structured JSON; the site describes these AI queries as read-only. Access options include WhatsApp, Teams, Slack, Power BI, an HTTP API and MCP protocol. A Helm chart deploys the monitor, pricing service, database and optional AI layer. The project is open source under GPL-3.0 and its plan is free. Setup requires a running Kubernetes cluster, Helm 3.x, reachable Prometheus, Metrics Server and a StorageClass. Azure cost enrichment is supported; AWS and GCP support are planned. Natural-language queries through the MCP assistant require an OpenAI API key.