This workshop has been deprecated and archived. The new Amazon EKS Workshop is now available at www.eksworkshop.com.

Implement AutoScaling with HPA and CA

In this Chapter, we will show patterns for scaling your worker nodes and applications deployments automatically.

Automatic scaling in K8s comes in two forms:

  • Horizontal Pod Autoscaler (HPA) scales the pods in a deployment or replica set. It is implemented as a K8s API resource and a controller. The controller manager queries the resource utilization against the metrics specified in each HorizontalPodAutoscaler definition. It obtains the metrics from either the resource metrics API (for per-pod resource metrics), or the custom metrics API (for all other metrics).

  • Cluster Autoscaler (CA) a component that automatically adjusts the size of a Kubernetes Cluster so that all pods have a place to run and there are no unneeded nodes.