CAST AI vs OptOps
CAST AI
cast.aiOptOps
optops.aiSide by side
| Figure | CAST AI | OptOps |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Kubernetes Cost Management Software | 7.7 (#8) | 7.0 (#19) |
| Security | CAST AI states that it has achieved ISO 27001 certification and describes policies for information security and data privacy. | OptOps says it collects metadata and utilization metrics but not secrets, environment variables, application data, logs, or request payloads; optimization decisions run inside the cluster. |
Plans
In their own words
CAST AI
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.