Summary

In this chapter, we covered Kubernetes, a container management platform that can serve as the infrastructure foundation for building open source ML platforms. Now, you should be familiar with what containers are and how Kubernetes works. You have also learned how to set up a Kubernetes cluster on AWS using the AWS EKS service and use the cluster to deploy a containerized Jupyter Notebook application to set up a basic data science environment. In the next chapter, we will cover a number of open source ML platforms that work on top of the Kubernetes infrastructure for building ML platforms.