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

Provisioning infrastructure for your applications

CI/CD pipelines are used for deploying workloads on Kubernetes. However, these services often require you to operate against infrastructures such as cloud resources, databases, and even the Kubernetes cluster itself. There are different ways to provision this infrastructure. Let’s review some of the common solutions.

Cloud provider APIs and tooling

If you are fully committed to a single cloud provider and have no intentions of using multiple cloud providers or mixing cloud-based clusters with on-prem clusters, you may prefer to use your cloud provider’s APIs tooling (e.g., AWS CloudFormation). There are several benefits to this approach:

  • Deep integration with your cloud provider infrastructure
  • Best support from your cloud provider
  • No layer of indirection

However, this means that your view of the system will be split. Some information will be available through Kubernetes and...