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Machine Learning on Kubernetes

You're reading from Machine Learning on Kubernetes A practical handbook for building and using a complete open source machine learning platform on Kubernetes

Product type Paperback

Published in Jun 2022

Publisher Packt

ISBN-13 9781803241807

Length 384 pages

Edition 1st Edition

Languages

Python

Tools

Kubernetes

Concepts

Machine Learning

Authors (2):

Ross Brigoli

Faisal Masood

View More author details

Table of Contents (16) Chapters

Preface

1. Part 1: The Challenges of Adopting ML and Understanding MLOps (What and Why)

2. Chapter 1: Challenges in Machine Learning FREE CHAPTER

3. Chapter 2: Understanding MLOps

4. Chapter 3: Exploring Kubernetes

5. Part 2: The Building Blocks of an MLOps Platform and How to Build One on Kubernetes

6. Chapter 4: The Anatomy of a Machine Learning Platform

7. Chapter 5: Data Engineering

8. Chapter 6: Machine Learning Engineering

9. Chapter 7: Model Deployment and Automation

10. Part 3: How to Use the MLOps Platform and Build a Full End-to-End Project Using the New Platform

11. Chapter 8: Building a Complete ML Project Using the Platform

12. Chapter 9: Building Your Data Pipeline

13. Chapter 10: Building, Deploying, and Monitoring Your Model

14. Chapter 11: Machine Learning on Kubernetes

15. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

The Kubernetes Workshop

Zachary Arnold, Sahil Dua, Wei Huang, Faisal Masood, Melony Qin, Mohammed Abu Taleb

ISBN: 978-1-83882-075-6

Get to grips with the fundamentals of Kubernetes and its terminology
Share or store data in different containers running in the same pod
Create a container image from an image definition manifest
Construct a Kubernetes-aware continuous integration (CI) pipeline for deployments
Attract traffic to your app using Kubernetes ingress
Build and deploy your own admission controller

The Kubernetes Bible

Nassim Kebbani, Piotr Tylenda, Russ McKendrick

ISBN: 978-1-83882-769-4

Manage containerized applications with Kubernetes
Understand Kubernetes architecture and the responsibilities of each component
Set up Kubernetes on Amazon Elastic Kubernetes Service, Google Kubernetes Engine, and Microsoft...

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Authors (2)

Faisal Masood

Faisal Masood

Faisal Masood is a cloud transformation architect at AWS. Faisal's focus is to assist customers in refining and executing strategic business goals. Faisal main interests are evolutionary architectures, software development, ML lifecycle, CD and IaC. Faisal has over two decades of experience in software architecture and development.

See other products by Faisal Masood

Brigoli

Brigoli

Ross Brigoli is a consulting architect at Red Hat, where he focuses on designing and delivering solutions around microservices architecture, DevOps, and MLOps with Red Hat OpenShift for various industries. He has two decades of experience in software development and architecture.

See other products by Brigoli

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