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 the increasing adoption of Kubernetes in large enterprise organizations and the importance of governance in managing these deployments. We looked at the concept of policy engines and how they are built on top of the Kubernetes admission control mechanism. We discussed how policy engines are used to address security, compliance, and governance concerns. We also provided a review of popular policy engines. Finally, we did a deep dive into Kyverno, in which we explained in detail how it works. Then, we jumped in, wrote some policies, tested them, and reviewed policy reports. If you run a non-trivial production system on Kubernetes, you should very seriously consider having Kyverno (or another policy engine) as a core component. This is a perfect segue to the next chapter where we will discuss Kubernetes in production.