CAST AI vs Infracost

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.

Infracost brings cloud cost estimates and FinOps guidance into infrastructure-as-code workflows, helping teams find cost issues before deployment. It supports Terraform, CloudFormation, and AWS CDK projects across AWS, Azure, and Google Cloud. Infracost Cloud tracks more than 10 million price points and presents estimates and FinOps guidance in pull requests and IDEs. Its CI/CD integration can comment on cost differences, policy violations, and tagging issues introduced by a change. Cloud also offers custom guardrails, price books, and tagging policies; Issue Explorer can identify optimization opportunities and open pull requests with fixes. Infracost AI combines provider billing, subscriptions, gateway logs, and agent telemetry to reconcile spend and build what-if scenarios for models and routing strategies. The free CI/CD plan includes 1,000 runs per month. Starter costs $250 a month and includes 10,000 runs per month and email support. Estimates from Terraform HCL alone may not resolve values only known at plan time; Terraform plan JSON is recommended for those cases.