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 container runtimes

Kubernetes originally only supported Docker as a container runtime engine. But that is no longer the case. Kubernetes now supports any runtime that implements the CRI interface.

In this section, you’ll get a closer look at the CRI and get to know some runtime engines that implement it. At the end of this section, you’ll be able to make a well-informed decision about which container runtime is appropriate for your use case and under what circumstances you may switch or even combine multiple runtimes in the same system.

The Container Runtime Interface (CRI)

The CRI is a gRPC API, containing specifications/requirements and libraries for container runtimes to integrate with the kubelet on a node. In Kubernetes 1.7 the internal Docker integration in Kubernetes was replaced with a CRI-based integration. This was a big deal. It opened the door to multiple implementations that can take advantage of advances in the container world. The...