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Mastering Kubernetes

You're reading from Mastering Kubernetes

Product type Book

Published in May 2017

Publisher Packt

ISBN-13 9781786461001

Pages 426 pages

Edition 1st Edition

Languages

Concepts

Containerization

Author (1):

Gigi Sayfan

Table of Contents (22) Chapters

Mastering Kubernetes

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Understanding Kubernetes Architecture

2. Creating Kubernetes Clusters

3. Monitoring, Logging, and Troubleshooting

4. High Availability and Reliability

5. Configuring Kubernetes Security, Limits, and Accounts

6. Using Critical Kubernetes Resources

7. Handling Kubernetes Storage

8. Running Stateful Applications with Kubernetes

9. Rolling Updates, Scalability, and Quotas

10. Advanced Kubernetes Networking

11. Running Kubernetes on Multiple Clouds and Cluster Federation

12. Customizing Kubernetes - API and Plugins

13. Handling the Kubernetes Package Manager

14. The Future of Kubernetes

Index

Chapter 11. Running Kubernetes on Multiple Clouds and Cluster Federation

In this chapter we'll take it to the next level, with running on multiple clouds and cluster federation. A Kubernetes cluster is a closely-knit unit where all the components run in relative proximity and are connected by a fast network (a physical data center or cloud provider availability zone). This is great for many use cases, but there are several important use cases where systems need to scale beyond a single cluster. Kubernetes federation is a methodical way to combine multiple Kubernetes clusters and interact with them as a single entity. The topics we will cover include the following:

A deep dive into what cluster federation is all about
How to prepare, configure, and manage a cluster federation
How to run a federated workload across multiple clusters

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Authors (1)

Gigi Sayfan

Gigi Sayfan has been developing software for 25+ years in domains as diverse as instant messaging, morphing, chip fabrication process control, embedded multimedia applications for game consoles, brain-inspired ML, custom browser development, web services for 3D distributed game platforms, IoT sensors, virtual reality, and genomics. He has written production code in languages such as Go, Python, C, C++, C#, Java, Delphi, JavaScript, and even Cobol and PowerBuilder for operating systems such as Windows (3.11 through 7), Linux, macOS, Lynx (embedded), and Sony PlayStation. His technical expertise includes databases, low-level networking, distributed systems, containers, unorthodox user interfaces, modern web applications, and general SDLC.

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