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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):

Nikhil Pathania

View More author details

Table of Contents (11) Chapters

Preface

1. Concepts of Continuous Integration

2. Installing Jenkins FREE CHAPTER

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

The new Jenkins pipeline job

Those who are already familiar with Jenkins are well aware of the freestyle Jenkins job. The classic way of creating a pipeline in Jenkins is by using the freestyle job, wherein each CI stage is represented using a Jenkins job (freestyle).

The Jenkins freestyle job is a web-based, GUI-propelled configuration. Any modification to the CI pipeline requires you to log in to Jenkins and reconfigure each of the Jenkins freestyle jobs.

The concept of Pipeline as Code rethinks the way we create a CI pipeline. The idea is to write the whole CI/CD pipeline as a code that offers some level of programming and that can be version controlled.

The following are some of the advantages of taking the Pipeline as Code route:

It's programmable
All of your CI/CD pipeline configurations can be described using just a single file (Jenkinsfile)
It's version controllable, just like any other code
It comes with an option to define your pipeline using the Declarative Pipeline syntax, which is...

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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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