Book Image

Mastering Kubernetes - Fourth Edition

By : Gigi Sayfan
3.3 (3)
Book Image

Mastering Kubernetes - Fourth Edition

3.3 (3)
By: Gigi Sayfan

Overview of this book

The fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters. You’ll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you’ll understand how to utilize serverless computing and service meshes. Further, two new chapters have been added. “Governing Kubernetes” covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. “Running Kubernetes in Production” shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management. By the end of this Kubernetes book, you’ll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.
Table of Contents (21 chapters)
19
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Index

Summary

In this chapter, we covered a lot of ground. Networking is such a vast topic as there are so many combinations of hardware, software, operating environments, and user skills. It is a very complicated endeavor to come up with a comprehensive networking solution that is both robust, secure, performs well, and is easy to maintain. For Kubernetes clusters, the cloud providers mostly solve these issues. But if you run on-premises clusters or need a tailor-made solution, you get a lot of options to choose from. Kubernetes is a very flexible platform, designed for extension. Networking in particular is highly pluggable.

The main topics we discussed were the Kubernetes networking model (a flat address space where pods can reach other), how lookup and discovery work, the Kubernetes network plugins, various networking solutions at different levels of abstraction (a lot of interesting variations), using network policies effectively to control the traffic inside the cluster, ingress...