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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Index

Summary

In this chapter, we covered the many security challenges facing developers and administrators building systems and deploying applications on Kubernetes clusters. But we also explored the many security features and the flexible plugin-based security model that provides many ways to limit, control, and manage containers, pods, and nodes. Kubernetes already provides versatile solutions to most security challenges, and it will only get better as capabilities such as AppArmor and various plugins move from alpha/beta status to general availability. Finally, we considered how to use namespaces and virtual clusters to support multi-tenant communities or deployments in the same Kubernetes cluster.

In the next chapter, we will look in detail into many Kubernetes resources and concepts, and how to use them and combine them effectively. The Kubernetes object model is built on top of a solid foundation of a small number of generic concepts such as resources, manifests, and metadata. This empowers...