Once the metrics server has been installed into our cluster, we will be able to use the metrics API to retrieve information about CPU and memory usage of the pods and nodes in our cluster. Using the kubectl top command is a simple example of this.
The Horizontal Pod Autoscaler can also use this same metrics API to gather information about the current resource usage of the pods that make up a deployment.
Let's look at an example of this; we are going to deploy a sample application that uses a lot of CPU under load, then configure a Horizontal Pod Autoscaler to scale up extra replicas of this pod to provide extra capacity when CPU utilization exceeds a target level.
The application we will be deploying as ...
