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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

Understanding Jenkins’ distributed build architecture

In the realm of distributed computing and CI, certain architectural models have emerged as a critical driver of efficiency and scalability. This small section delves into two pivotal aspects of such a model. Firstly, we explore the foundational master–agent model, a design paradigm that centralizes task distribution while leveraging multiple agents to perform concurrent operations. This model, by virtue of its design, enhances scalability and flexibility. Following this, we transition to examine two of the most effective methods to construct a distributed build farm. This farm serves as the practical embodiment of the master–agent concept, allowing for parallel task execution across different environments.

An overview of the master–agent model

The master–agent (sometimes called master–slave or master–worker) model is a fundamental design paradigm in distributed computing systems...

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