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’ve covered many topics related to deploying and updating applications, scaling Kubernetes clusters, managing resources, CI/CD pipelines, and provisioning infrastructure. We discussed live cluster updates, different deployment models, how the horizontal pod autoscaler can automatically manage the number of running pods, how to perform rolling updates correctly and safely in the context of autoscaling, and how to handle scarce resources via resource quotas. Then we discussed CI/CD pipelines and how to provision infrastructure on Kubernetes using tools like Terraform, Pulumi, custom operators, and Crossplane.

At this point, you have a good understanding of all the factors that come into play when a Kubernetes cluster faces dynamic and growing workloads. You have multiple tools to choose from for planning and designing your own release and scaling strategy.

In the next chapter, we will learn how to package applications for deployment on Kubernetes...