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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 4. High Availability and Reliability

In the previous chapter, we looked at monitoring your Kubernetes cluster, detecting problems at the node level, identifying and rectifying performance problems, and general troubleshooting.

In this chapter, we will dive into the topic of highly available clusters. This is a complicated topic. The Kubernetes project and the community haven't settled on one true way to achieve high availability nirvana. There are many aspects to highly available Kubernetes clusters, such as ensuring that the control plane can keep functioning in the face of failures, protecting the cluster state in etcd, protecting the system's data, and recovering capacity and/or performance quickly. Different systems will have different reliability and availability requirements. How to design and implement a highly available Kubernetes cluster will depend on those requirements.

At the end of this chapter, you will understand the various concepts associated with high availability...

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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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