Comparison
Glassity vs CAST AI
CAST AI optimizes Kubernetes clusters. Glassity optimizes your entire AWS bill — including the 60-80% of spend that isn't Kubernetes.
| Glassity | CAST AI | |
|---|---|---|
| Scope | Full AWS — EC2, RDS, S3, Lambda, and 20+ services | Kubernetes only (EKS, GKE, AKS) |
| Pricing model | 10% success fee — pay for results only | Free tier + $200-5,000/mo + per-CPU fee |
| Integration | Read-only IAM, agentless | Kubernetes agent required |
| Optimization type | Workload + rate optimization across all AWS | K8s autoscaling, bin packing, spot instances |
| Rate optimization | Autopilot — up to 50% EC2, 69% RDS | Spot instance automation for K8s nodes |
| Non-K8s workloads | Full support — EC2, RDS, Lambda, S3, etc. | Not covered |
| FinOps workflow | 5-step lifecycle with ownership and tracking | Dashboard with savings recommendations |
| Execution | PRs, Jira, Terraform, CI/CD | Automated K8s node management |
| Cost allocation | Virtual tagging, service-level attribution | Namespace/label-based K8s cost allocation |
| Cloud support | AWS-deep (multi-cloud on roadmap) | Multi-cloud K8s (AWS, GCP, Azure) |
Beyond Kubernetes
CAST AI is excellent at what it does — Kubernetes optimization through autoscaling, bin packing, and spot instance automation. But for most organizations, K8s is only 20-40% of their AWS bill.
Glassity covers the full AWS landscape: EC2 instances (containerized or not), RDS databases, Lambda functions, S3 storage, and 20+ other services. If your optimization strategy only covers K8s, you're leaving the majority of your savings on the table.
For organizations running both K8s and traditional workloads, Glassity and CAST AI can be complementary — but if you're choosing one platform, Glassity covers more ground.
See the difference for yourself
Get a free savings assessment and compare what Glassity finds vs your current tools.