So you should now have everything you need to get started playing around with Google Kubernetes Engine.  Let me do a quick review over everything that was covered.

First, we started out with a review of some Kubernetes basics.  I talked about what a cluster is, and how they are composed of a control plane and worker nodes.  You tell the control plane what you want to do, and then the work is split up and handed off to the nodes.

Second, I talked about pods and workloads.  When working with a Kubernetes cluster, you aren’t going to see a list of running containers.  Instead, you will see pods.  A pod is the smallest deployable unit of computing in Kubernetes.  Typically, they are composed of a single container.  But they can have multiple containers as well.  Generally, you won’t be creating pods yourself.  Instead, you will create a workload and that will create the pods for you.  A workload represents the application you wish to run and can require multiple pods and multiple containers.

Third, I showed you how to create and manage clusters in GKE.  You learned how to create clusters using both the console as well as the command line.  And I also showed you how to add and remove nodes using node pools.  And showed you the various auto-scaling options for both pods and nodes.

Fourth, I showed you how to deploy your applications to a GKE cluster using both the console and the command line.  And fifth, I gave some pointers on detecting and fixing any issues you might encounter on GKE.  You saw how to access logging and monitoring, as well as how to create an alert.

Well, that’s all I have for you today.  Remember to give this course a rating, and if you have any questions or comments, please let us know.  Thanks for watching, and make sure to check out our many other courses on Cloud Academy!