In this section, 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) is the default K8s component that can be used to perform pod scaling as well as scaling nodes in a cluster. It automatically increases the size of an Auto Scaling Group so that pods have a place to run. And it attempts to remove idle nodes, that is, nodes with no running pods.