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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

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781835087732
Length 396 pages
Edition 3rd Edition
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Author (1):
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Nikhil Pathania Nikhil Pathania
Author Profile Icon Nikhil Pathania
Nikhil Pathania
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Toc

Table of Contents (19) Chapters Close

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 18. Other Books You May Enjoy

Summary

In this chapter, we commenced our journey with a detailed exploration into setting up SonarQube and Artifactory using a Helm chart paired with an Nginx Ingress controller and a public IP for each service. Following this, the necessary configurations within Jenkins for seamless integration with SonarQube, Artifactory, and GitHub were diligently explored.

In the forthcoming chapter, we will delve deeply into the crucial topic of horizontally scaling Jenkins. A comprehensive guide will cover the two most popular methods, employing both the pre-configured Kubernetes plugin and the Azure VM Agent plugin. This exploration will enable the effective scaling of Jenkins by creating on-demand build agents, seamlessly enhancing our CI setup and paving the way for further advancements in Jenkins pipeline utilization.

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