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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Separating internal and external services

Internal services are services that are accessed directly only by other services or jobs in the cluster (or administrators that log in and run ad-hoc tools). There are also workloads that are not accessed at all. These workloads may watch for some events and perform their function without exposing any API.

But some services need to be exposed to users or external programs. Let’s look at a fake Hue service that manages a list of reminders for a user. It doesn’t really do much - just returns a fixed list of reminders - but we’ll use it to illustrate how to expose services. I already pushed a hue-reminders image to DockerHub:

docker push g1g1/hue-reminders:3.0

Deploying an internal service

Here is the deployment, which is very similar to the Hue-learner deployment, except that I dropped the annotations, env, and resources sections, kept just one or two labels to save space, and added a ports section to the container. That...