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

Kubernetes networking solutions

Networking is a vast topic. There are many ways to set up networks and connect devices, pods, and containers. Kubernetes can’t be opinionated about it. The high-level networking model of a flat address space for Pods is all that Kubernetes prescribes. Within that space, many valid solutions are possible, with various capabilities and policies for different environments. In this section, we’ll examine some of the available solutions and understand how they map to the Kubernetes networking model.

Bridging on bare-metal clusters

The most basic environment is a raw bare-metal cluster with just an L2 physical network. You can connect your containers to the physical network with a Linux bridge device. The procedure is quite involved and requires familiarity with low-level Linux network commands such as brctl, ipaddr, iproute, iplink, and nsenter. If you plan to implement it, this guide can serve as a good start (search for the With Linux...