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 topic of stateful applications and how to integrate them with Kubernetes. We discovered that stateful applications are complicated and considered several mechanisms for discovery, such as DNS and environment variables. We also discussed several state management solutions, such as in-memory redundant storage, local storage, and persistent storage. The bulk of the chapter revolved around deploying a Cassandra cluster inside a Kubernetes cluster using a StatefulSet. We drilled down into the low-level details in order to appreciate what it really takes to integrate a third-party complex distributed system like Cassandra into Kubernetes. At this point, you should have a thorough understanding of stateful applications and how to apply them within your Kubernetes-based system. You are armed with multiple methods for various use cases, and maybe you’ve even learned a little bit about Cassandra.

In the next chapter, we will continue our journey...