Implement Auto Scaling in Kubernetes by Using HPA Custom Metrics

This lab mainly uses Alibaba Cloud Container Service for demonstration. This lab introduces the component that is most commonly used for auto scaling in Kubernetes, namely HPA (Horizontal Pod Autoscaler). HPA is a component that performs capacity planning by calculating the actual workload of pods. When the resource pool meets the specified conditions, HPA implements auto scaling. This lab demonstrates how to use HPA to implement the auto scaling of pods based on the number

💡 Este tutorial está traducido por IA desde la versión en inglés. Para ver la versión original, puedes hacer clic aquí