Kubernetes Autoscaling for Cost Optimization: HPA, VPA, KEDA, and Node Autoscaling Explained

Kubernetes autoscaling adjusts capacity to demand at three levels: pods (HPA scales replicas, VPA adjusts requests), nodes (Cluster Autoscaler and Karpenter add and remove machines), and events (KEDA scales on queues and signals). Done well it cuts cost by removing idle capacity; left at defaults it can amplify waste. The post Kubernetes Autoscaling for Cost Optimization: HPA, VPA, KEDA, and Node Autoscaling Explained appeared first on Cast AI .