CAST AI vs Skuber+
CAST AI
cast.aiSkuber+
skuberplus.comSide by side
| Figure | CAST AI | Skuber+ |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 3 |
| Spec score · Kubernetes Cost Management Software | 7.7 (#8) | 7.1 (#18) |
| Automation | The platform automates workload rightsizing, node scaling, GPU and Spot optimization, and issue remediation. | Optimization policies can adjust resources based on traffic and development environment, and include an Auto Balance policy for staging environments. |
| Integrations | The integrations page lists Grafana, Terraform, Crossplane, Prometheus, Jira, OpenTelemetry, Helm, and Pulumi. | The requirements page documents AWS EKS and OCI OKE integrations, while the pricing page mentions 20+ integrations for Enterprise without naming them. |
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.
Skuber+
Skuber+ is a web-based SaaS platform for optimizing Kubernetes clusters through an agent installed on a customer’s cluster. It identifies over-provisioned resources, adjusts workload sizing, and uses bin-packing and autoscaling to reduce resource waste. Its dashboard reports costs by cluster, namespace, and workload, with 30-day trends and projected savings. Policies can adapt resources to traffic and development environments, including an Auto Balance policy for staging. The AI assistant analyzes CPU and memory use, suggests VPA and autoscaling settings, and answers Kubernetes questions. A single console shows multiple clusters, their status, resource use, and costs; users can revert to the pre-optimization state if performance falls short. AWS EKS and OCI OKE are supported, while Azure AKS and GCP GKE are marked coming soon. The agent supports Kubernetes version 1.33.1 or below and requires at least 600m CPU and 700 MiB memory. The Trial plan is free for 30 days and one cluster; Professional is $5 per vCPU, with no billing period specified.