Scaling Kubernetes Applications With Horizontal Pod Autoscaling (HPA)
Scaling in Kubernetes: Manual & Automatic Scaling, Horizontal Pod Autoscaling (HPA) adjusts pod count based on CPU or custom metrics, ensuring app performance & resource optimization.
Scaling and Horizontal Pod Autoscaling (HPA) in Kubernetes Kubernetes provides robust mechanisms to scale applications and workloads efficiently to meet demand while optimizing resource utilization. Scaling can be done manually or automatically through Horizontal Pod Autoscaling (HPA). In this article, we'll explore the concept of scaling in Kubernetes, how HPA works, and how to implement it in your cluster. Types of Scaling in Kubernetes Manual Scaling Developers or operators manually adjust the number of pods in a deployment or replica set using commands like kubectl scale or...