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Learning Continuous Integration with Jenkins

You're reading from Learning Continuous Integration with Jenkins A beginner's guide to implementing Continuous Integration and Continuous Delivery using Jenkins 2

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781788479356

Length 362 pages

Edition 2nd Edition

Tools

Jenkins

Concepts

Continuous Delivery

Author (1):

Pathania

View More author details

Table of Contents (18) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Concepts of Continuous Integration FREE CHAPTER

2. Installing Jenkins

3. The New Jenkins

4. Configuring Jenkins

5. Distributed Builds

6. Installing SonarQube and Artifactory

7. Continuous Integration Using Jenkins

8. Continuous Delivery Using Jenkins

9. Continuous Deployment Using Jenkins

10. Supporting Tools and Installation Guide

Index

Adding Jenkins slaves – Docker containers

In the following section, we will learn how to install and configure the Docker plugin that will allow us to spawn on-demand Jenkins slaves (Docker containers) from a CI pipeline. The Docker containers are started by the CI pipeline, and once the build is done, they are destroyed. In the following section, we will only see the configuration part. It is in the next chapter that we will see this process in action.

Prerequisites

Before we begin, make sure you have the following things ready:

A Jenkins server running on any of the following platforms: Docker, standalone, cloud, VM, servlet container, and so on. (refer to Chapter 2, Installing Jenkins).

Your Jenkins server should have access to the internet. This is necessary to download and install plugins.
Your Jenkins server can talk to GitHub using the GitHub plugin. (Refer to the Add GitHub credentials inside Jenkins and Configure Webhooks on GitHub from Jenkins sections from Chapter 3, The New Jenkins...

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Authors (1)

Pathania

Pathania

Nikhil Pathania is a tech expert with deep knowledge in the Software Development Lifecycle (SDLC) domain. His professional identity is shaped by his specialization in Agile methodologies, DevOps practices, cloud technologies, and container solutions. His significant contributions, particularly in implementing CI/CD frameworks at multinational corporations, underline his expertise in optimizing complex software development processes. In his current role as a solutions architect at Arla Foods, Nikhil spearheads innovative projects in software development and data analytics, reflecting his keen insight into technological advancements and their practical applications.

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