Autoscaling

The Horizontal Pod Autoscaler (HPA) in Kubernetes automatically scales the number of pods in a deployment or replica set based on observed resource usage, such as CPU or memory. This article breaks down how HPA works, when to use it, its pros and cons, and how to get started with it in your Kubernetes cluster. 1. What is HPA? HPA dynamically adjusts the number of pods in a Kubernetes workload (like a Deployment or StatefulSet) based on metrics from the Kubernetes Metrics Server. ...

Kubernetes provides several autoscaling mechanisms, and one of them is the Vertical Pod Autoscaler (VPA). Unlike the Horizontal Pod Autoscaler (HPA) which scales the number of pods, VPA adjusts CPU and memory requests/limits for individual pods. This article breaks down when VPA makes sense, what advantages it brings, and the critical limitations you must understand before deploying it in production. 1. What Is Vertical Pod Autoscaler? VPA automatically adjusts resource requests and limits for containers based on historical usage. ...