Book Image

Mastering Kubernetes - Third Edition

By : Gigi Sayfan
Book Image

Mastering Kubernetes - Third Edition

By: Gigi Sayfan

Overview of this book

The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18’s latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional.
Table of Contents (19 chapters)
17
Other Books You May Enjoy
18
Index

Summary

In this chapter, we've covered the important aspects of a Kubernetes Cluster Federation as well as the management of many Kubernetes clusters using the Gardener project. Cluster federation is still in beta and is a little raw, but it is already usable. There aren't a lot of deployments, and the officially supported target platforms are currently AWS and GCE/GKE, but there is a lot of momentum behind cloud federation. It is a very important piece for building massively scalable systems on Kubernetes. We've discussed the motivation and use cases for the Kubernetes Cluster Federation, the federation control plane components, and the federated Kubernetes objects. We also looked at the less supported aspects of a federation, such as custom scheduling, federated data access, and auto-scaling. We then looked at how to run multiple Kubernetes clusters, which includes setting up a Kubernetes Cluster Federation, adding and removing clusters to the federation along with...