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

Running Kubernetes on Multiple Clusters

In this chapter, we’ll take it to the next level and consider options for running Kubernetes and deploying workloads on multiple clouds and multiple clusters. Since a single Kubernetes cluster has limits, once you exceed these limits you must run multiple clusters. A typical Kubernetes cluster is a closely-knit unit where all the components run in relative proximity and are connected by a fast network (typically, a physical data center or cloud provider availability zone). This is great for many use cases, but there are several important use cases where systems need to scale beyond a single cluster or a cluster needs to be stretched across multiple availability zones.

This is a very active area in Kubernetes these days. In the previous edition of the book, this chapter covered Kubernetes Federation and Gardener. Since then, the Kubernetes Federation project was abandoned. There are now many projects that provide different flavors...