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Mastering Kubernetes

You're reading from Mastering Kubernetes Large scale container deployment and management

Product type Paperback

Published in May 2017

Publisher Packt

ISBN-13 9781786461001

Length 426 pages

Edition 1st Edition

Tools

Docker

Concepts

Containerization

Author (1):

Gigi Sayfan

View More author details

Table of Contents (22) Chapters

Mastering Kubernetes

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Understanding Kubernetes Architecture FREE CHAPTER

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

Troubleshooting scenarios

There are so many things that can go wrong in a large Kubernetes cluster – and they will. This is expected. You can employ best practices and minimize some of them (mostly human errors), by using stricter processes. But, some issues such as hardware failures and networking issues can't be totally avoided. Even human errors should not always be minimized if it means slower development time. In this section, we'll discuss various categories of failures, how to detect them, how to evaluate their impact, and consider the proper response.

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Authors (1)

Gigi Sayfan

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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