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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

Introducing AI, language models, and ChatGPT

In the rapidly evolving landscape of technology, AI has emerged as a transformative force, reshaping the way humans interact with machines and the world around them. AI refers to the simulation of human intelligence by computer systems, enabling these systems to perform tasks that typically require human cognitive functions, such as learning, reasoning, problem-solving, and decision-making. One of the most remarkable manifestations of AI’s capabilities is the development of language models, which have revolutionized communication and information processing.

Figure 7.1 – AI-generated (DALL-E 3) oil painting of Jenkins, the CI/CD tool

Figure 7.1 – AI-generated (DALL-E 3) oil painting of Jenkins, the CI/CD tool

Language is a fundamental means of communication for humans and replicating this intricate skill in machines has been a longstanding goal of AI research. Language models are a subset of AI technologies that focus on enabling computers to understand, generate, and manipulate...

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