Introduction

We have seen that we package our applications as containers and deploy them as a Pod in Kubernetes, which is the minimal unit of Deployment. With the help of the advanced scheduling capabilities provided by Kubernetes, we can optimize the deployment of these Pods with respect to our hardware infrastructure to meet our needs and get the most out of the available resources.

Kubernetes clusters generally have more than a few nodes (or machines or hosts) where the Pod can be executed. Consider that you are managing a few of the machines and you have been assigned to execute an application on these machines. What would you do to decide which machine is the best fit for the given application? Until now in this workshop, whenever you wanted to run a Pod on a Kubernetes cluster, have you mentioned which node(s) the Pod should run on?

That's right – we don't need to; Kubernetes comes with a smart component that finds the best node to run your Pod. This component...