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Learning Continuous Integration with Jenkins

You're reading from Learning Continuous Integration with Jenkins An end-to-end guide to creating operational, secure, resilient, and cost-effective CI/CD processes

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781835087732

Length 396 pages

Edition 3rd Edition

Tools

Jenkins

Concepts

Continuous Integration

Author (1):

Nikhil Pathania

View More author details

Table of Contents (19) Chapters

Preface

1. Part 1: The Concepts FREE CHAPTER

2. Chapter 1: The What, How, and Why of Continuous Integration

3. Part 2: Engineering the CI Ecosystem

4. Chapter 2: Planning, Deploying, and Maintaining Jenkins

5. Chapter 3: Securing Jenkins

6. Chapter 4: Extending Jenkins

7. Chapter 5: Scaling Jenkins

8. Part 3: Crafting the CI Pipeline

9. Chapter 6: Enhancing Jenkins Pipeline Vocabulary

10. Chapter 7: Crafting AI-Powered Pipeline Code

11. Chapter 8: Setting the Stage for Writing Your First CI Pipeline

12. Chapter 9: Writing Your First CI Pipeline

13. Part 4: Crafting the CD Pipeline

14. Chapter 10: Planning for Continuous Deployment

15. Chapter 11: Writing Your First CD Pipeline

16. Chapter 12: Enhancing Your CI/CD Pipelines

17. Index

Why subscribe?

18. Other Books You May Enjoy

Technical requirements

Starting from this chapter, we will work on a Jenkins server running on Azure Kubernetes Service (AKS) within the Azure platform. However, it’s important to note that the steps mentioned can also be applied to a Jenkins server running on any type of Kubernetes cluster, regardless of the underlying infrastructure.

To proceed with this chapter, please ensure that you have a Jenkins server up and running, and the following tools installed on your local development environment:

An IDE such as Visual Studio Code or anything you choose
kubectl, the Kubernetes command-line tool
The Helm CLI, to deploy workloads on the Kubernetes cluster

The rest of the chapter is locked

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Authors (1)

Nikhil Pathania

Nikhil 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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