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)
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Index

Summary

In this chapter, we looked at reliable and highly available large-scale Kubernetes clusters. This is arguably the sweet spot for Kubernetes. While it is useful to be able to orchestrate a small cluster running a few containers, it is not necessary, but at scale, you must have an orchestration solution in place that you can trust to scale with your system and provide the tools and the best practices to do that.

You now have a solid understanding of the concepts of reliability and high availability in distributed systems. You delved into the best practices for running reliable and highly available Kubernetes clusters. You explored the complex issues surrounding scaling Kubernetes clusters and measuring their performance. You can now make wise design choices regarding levels of reliability and availability, as well as their performance and cost.

In the next chapter, we will address the important topic of security in Kubernetes. We will also discuss the challenges of securing...