Chapter 4: The Anatomy of a Machine Learning Platform
In this and the next few chapters, you will learn and install the components of a machine learning (ML) platform on top of Kubernetes. An ML platform should be capable of providing the tooling required to run the full life cycle of an ML project as described in Chapter 2, Understanding MLOps. This chapter starts with defining the different components of an ML platform in a technology-agnostic way. In the later parts, you will see the group of open source software that can satisfy the requirements of each component. We have chosen this approach to not tie you up with a specific technology stack; instead, you can replace components as you deem fit for your environment.
The solution that you will build in this book will be based on open source technologies and will be hosted on the Kubernetes platform that you built in Chapter 3, Exploring Kubernetes.
In this chapter, you will learn about the following topics:
- Defining...
