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Mastering Kubernetes

Mastering Kubernetes - Fourth Edition

By : Gigi Sayfan
4.6 (45)
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Mastering Kubernetes

Mastering Kubernetes

4.6 (45)
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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19
Other Books You May Enjoy
20
Index

Managing multiple clusters

A Kubernetes cluster is powerful and can manage a lot of workloads (thousands of nodes, and hundreds of thousands of pods). As a startup, you may get pretty far with just one cluster. However, at enterprise scale, you’ll need more than one cluster. Let’s consider some use cases.

Geo-distributed clusters

Geo-distributed clusters are clusters that run in different locations. There are three main reasons for using geo-distributed clusters:

  • Keeping your data and workloads close to their consumers.
  • Compliance and data privacy laws where data must remain in its country of origin.
  • High availability and disaster recovery in case of a regional outage.

Multi-cloud

If you run on multiple clouds, then naturally you need at least one cluster per cloud provider.

Running on multiple clouds can be complicated, but at enterprise scale, it may be unavoidable and sometimes desirable. For example, your company may...

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Mastering Kubernetes
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