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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 6. Using Critical Kubernetes Resources

In this chapter, we will design a massive-scale platform that will challenge Kubernetes' capabilities and scalability. The Hue platform is all about creating an omniscient and omnipotent digital assistant. Hue is a digital extension of you. Hue will help you do anything, find anything, and, in many cases will do a lot on your behalf. It will obviously need to store a lot information, integrate with many external services, respond to notifications and events, and be smart about interacting with you.

We will take the opportunity in this chapter to get to know kubectl and related tools a little better and explore in detail familiar resources we've seen before, such as pods, as well as new resources such as Jobs. At the end of this chapter, you will have a clear picture of how impressive Kubernetes is and how it can be used as the foundation for hugely complex systems.

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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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