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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
Tools
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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 navigated the practical aspects of writing CI code — from configuring pipeline agents, running unit tests, static code analyses, and ensuring code quality with SonarQube, to the nuances of building code and publishing artifacts. The role of Kubernetes in the CI process was also highlighted. A significant milestone in our journey was actualizing the CI process. By adding the pipeline code to our source code repository, we were primed to witness CI in action. This culminated in creating a multi-branch pipeline job in Jenkins, offering an insightful look into the mechanics of CI in real time.

Lastly, the visualization aspects enriched our understanding manifold. Using Jenkins’ interface, we learned how to visually interpret unit test results, static code analysis reports, code coverage data, and the meticulous details of build artifacts. In essence, this chapter provided the practical know-how of implementing and visualizing a simple CI pipeline...

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