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

💡 本教程由 AI 辅助翻译自英文原版。如需查看原文，您可以 切换至英文原版