The Cast AI blog
Guides, tutorials, and tips on Kubernetes automation, from cost optimization to cloud security and everything in between.
KEDA: How Event-Driven Autoscaling Cuts Kubernetes Cost
Kubernetes clusters run at an average of 8% CPU utilization, according to Cast AI’s 2026 State of Kubernetes Optimization Report across 23,000+ production clusters. A key…
Kubernetes Cluster Autoscaler: How It Works and How to Tune Scale-Up and Scale-Down
Learn how the Kubernetes Cluster Autoscaler works, why it struggles with overprovisioned resource requests, and…
HPA vs VPA: When to Use Each, and Can You Use Both?
HPA scales the number of pod replicas; VPA scales the CPU and memory each pod…
A CTO’s Guide to Kubernetes Cost Optimization
Learn how the Kubernetes Optimization Loop helps engineering teams reduce infrastructure costs while improving unit…
Kubernetes Cost Optimization Checklist: 37 Checks Before You Touch Production
Learn how to reduce Kubernetes costs with a systematic optimization strategy that addresses overprovisioning, idle…
Best Pod Rightsizing Tools for Kubernetes
Compare the leading Kubernetes pod rightsizing tools and learn how they reduce CPU and memory…
Kubernetes Cost Dashboard: The Metrics Every Platform Team Should Track
A Kubernetes cost dashboard provides the visibility cloud billing lacks by breaking down costs by…
Cast AI vs Kubecost: Cost Visibility or Automated Optimization?
Compare Kubecost and CAST AI to understand the difference between Kubernetes cost visibility and automated…
Why Are Kubernetes Costs So High? The Real Reasons and the Fix.
Kubernetes cost optimization starts with visibility, followed by rightsizing, autoscaling, and continuous automation. Learn why…
OpenCost vs Kubecost: Which Kubernetes Cost Tool Should You Use?
Compare OpenCost and Kubecost to understand their differences in cost visibility, pricing, and enterprise features.…
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