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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Handling infrastructure at scale

One of the most demanding tasks when running large-scale multi-cluster Kubernetes in the cloud is dealing with the cloud infrastructure. In some respects, it is much better than being responsible for low-level compute, network, and storage infrastructure. However, you lose a lot of control, and troubleshooting issues is challenging.

Before diving into each category of infrastructure, let’s look at some general cloud-level considerations.

Cloud-level considerations

In the cloud, you organize your resources in entities such as AWS accounts, GCP projects, and Azure subscriptions. An organization may have multiple such groups, and each one has its own limits and quotas. For the sake of brevity, let’s call them accounts. Enterprise organizations’ infrastructure requirements will exceed the capacity of a single account. It’s critical to decide how to break down your infrastructure into different accounts. One good...