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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 (16) Chapters

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

Working with the Kubernetes API

The Kubernetes API is comprehensive and encompasses the entire functionality of Kubernetes. As you may expect, it is huge. But it is designed very well using best practices, and it is consistent. If you understand the basic principles, you can discover everything you need to know.

Understanding OpenAPI

OpenAPI allows API providers to define their operations and models, and enables developers to automate their tools and generate their favorite language's client to talk to that API server. Kubernetes has supported Swagger 1.2 (an older version of the OpenAPI spec) for a while, but the spec was incomplete and invalid, making it hard to generate tools/clients based on it.

In Kubernetes 1.4, alpha support was added for the OpenAPI spec (formerly known as Swagger 2.0 before it was donated to the OpenAPI Initiative) by upgrading the current models and operations. In Kubernetes 1.5, support for the OpenAPI spec has been completed by auto-generating the spec directly...

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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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