Summary
In this chapter, we have defined the term MLOps and suggested an ML project life cycle that is collaborative and provides early feedback. You have learned that with this project life cycle, the team can continuously deliver value to the business. You have also learned about some of the reasons why building a platform based on OSS makes sense and the benefits of community-driven software.
This completes the part of the book about setting the context, learning why a platform is needed, and discovering what kinds of problems it is expected to solve. In the next chapter, we will examine some basic concepts of the Kubernetes system that is at the heart of our ML platform.
