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
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20
Index

Summary

In this chapter, we’ve covered the exciting area of multi-cluster management. There are many projects that tackle this problem from different angles. The Cluster API project has a lot of momentum for solving the sub-problem of managing the lifecycle of multiple clusters. Many other projects take on the resource management and application lifecycle. These projects can be divided into two categories: projects that explicitly manage multiple clusters using a management cluster and managed clusters, and projects that utilize the Virtual Kubelet where whole clusters appear as virtual nodes in the main cluster.

The Gardener project has a very interesting approach and architecture. It tackles the problem of multiple clusters from a different perspective and focuses on the large-scale management of clusters. It is the only project that addresses both cluster lifecycle and application lifecycle.

At this point, you should have a clear understanding of the current state...