Introduction to MLOps and OpenShift

If you have chosen to read this book, chances are that you have a background in the machine learning (ML) domain. The primary purpose of this book is to show you how Red Hat OpenShift provides the basis for developing, deploying, and monitoring your models in production. In addition, you will learn about different components of the OpenShift ecosystem and how you can weave them together to build a path toward automating the life cycle of your ML project. You will also learn how to leverage Red Hat OpenShift Data Science and its partner components.

Finally, you will see how the approaches presented in this book can help your organization scale its ML initiatives through MLOps practices.

This first chapter focuses on giving you the basic definitions of the concepts and the technologies involved in the Red Hat OpenShift ecosystem for machine learning.

This chapter will cover the following topics:

• What is machine learning operations...