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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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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

Catching security vulnerabilities early in code

JFrog Xray is a cutting-edge software component analysis tool, designed to help organizations enhance their software security and ensure regulatory compliance. In the era of CI/CD, where code changes are frequently integrated and delivered, ensuring the security of these deliveries becomes paramount. JFrog Xray seamlessly fits into this paradigm by providing continuous security scanning for software artifacts, including Docker images.

In the context of Jenkins, the integration of JFrog Xray elevates the build and deployment process. With Jenkins being the automation engine and JFrog Artifactory acting as the universal artifact repository, incorporating Xray into the workflow allows every build pushed through Jenkins to be automatically scanned for vulnerabilities. This means that before a Docker image is stored in Artifactory, it can be rigorously scrutinized for any known security risks, ensuring that only secure, compliant images...

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