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Mastering Kubernetes, - Third Edition

You're reading from Mastering Kubernetes, - Third Edition

Product type Book

Published in Jun 2020

Publisher Packt

ISBN-13 9781839211256

Pages 642 pages

Edition 3rd Edition

Languages

Concepts

Containerization

Author (1):

Gigi Sayfan

Table of Contents (19) Chapters

Preface

1. Understanding Kubernetes Architecture

2. Creating Kubernetes Clusters

3. High Availability and Reliability

4. Securing Kubernetes

5. Using Kubernetes Resources in Practice

6. Managing Storage

7. Running Stateful Applications with Kubernetes

Stateful versus stateless applications in Kubernetes

8. Deploying and Updating Applications

9. Packaging Applications

10. Exploring Advanced Networking

11. Running Kubernetes on Multiple Clouds and Cluster Federation

12. Serverless Computing on Kubernetes

13. Monitoring Kubernetes Clusters

14. Utilizing Service Meshes

15. Extending Kubernetes

16. The Future of Kubernetes

17. Other Books You May Enjoy

18. Index

Creating your own charts

A chart is a collection of files that describe a related set of Kubernetes resources. A single chart might be used to deploy something simple, such as a Memcached pod, or something complex, such as a full web app stack with HTTP servers, databases, caches, queues, and so on.

Charts are created as files laid out in a particular directory tree. Then, they can be packaged into versioned archives to be deployed. The key file is Chart.yaml.

The Chart.yaml file

The Chart.yaml file is the main file of a Helm chart. It requires name and version fields:

name: The name of the chart (same as the directory name)
version: A SemVer 2 version

It may also contain various optional fields:

kubeVersion: A SemVer range of compatible Kubernetes versions
description: A single sentence describing this project
keywords: A list of keywords about this project
home: The URL of this project's home page
sources...

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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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