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

Building effective processes for large-scale Kubernetes deployments

To run multi-cluster Kubernetes systems in production, you must develop a set of effective processes and best practices that encompass every aspect of the operation. Here are some of the critical areas to address.

The development lifecycle

The development lifecycle of a multi-cluster Kubernetes-based system in production can be a complex process, but it is possible to streamline it with the right approach.

You should absolutely implement a CI/CD pipeline that automatically builds, tests, and deploys code changes. This pipeline should be integrated with version control systems such as Git, and it should also include automated testing to ensure code quality.

It’s important to manage the ownership and approval process for different areas of the code base.

Kubernetes namespaces can provide a convenient way to organize workloads and corresponding software assets and associate them with teams...