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
Other Books You May Enjoy
20
Index

Running Kubernetes in Production

In the previous chapter, we discussed governance and policy engines. This is an important part of managing large-scale Kubernetes-based systems in production. However, it is only one part. In this chapter, we will turn our attention to the overall management of Kubernetes in production. The focus will be on running multiple Managed Kubernetes clusters in the cloud.

The topics we will cover are:

  • Understanding Managed Kubernetes in the cloud
  • Managing multiple clusters
  • Building effective processes for large-scale Kubernetes deployments
  • Handling infrastructure at scale
  • Managing clusters and node pools
  • Upgrading Kubernetes
  • Troubleshooting
  • Cost management