CAST AI vs KubeLedger

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.

KubeLedger tracks Kubernetes CPU, memory, and GPU usage by namespace for usage accounting and cost allocation. Its accounting includes node overhead and resources that cannot be allocated, while comparisons between usage and requests over time can help identify over-provisioning and plan capacity. Built-in dashboards show hourly CPU and memory trends for seven days, daily accounting for 14 days, and monthly accounting for 12 months. Charts and datasets can be exported as PNG, CSV, or JSON, and integrations include a Prometheus exporter and an official Grafana dashboard. The site says KubeLedger retains a full year of analytics with a fixed footprint under 100 MB. Installation guidance covers Kubernetes and OpenShift through Kustomize or Helm. KubeLedger requires read-only access to Kubernetes API endpoints, including the Metrics API. Internal use is free at free; source code is available, but the product cannot be sold as a managed service. An optional MCP server offers ten read-only tools, but is disabled by default and lacks authentication at the tool layer.