You're reading from CI/CD Design Patterns Design and implement CI/CD using proven design patterns

Product type Paperback

Published in Dec 2024

Publisher Packt

ISBN-13 9781835889640

Length 356 pages

Edition 1st Edition

Concepts

DevOps

Authors (4):

Michel Schildmeijer

Pawel Piwosz

Muktesh Mishra

Garima Bajpai

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1: Introduction to CI/CD Design Patterns

2. Chapter 1: Foundations of CI/CD Design Patterns FREE CHAPTER

3. Chapter 2: Understanding Types of CI/CD Design Patterns and Their Components

4. Chapter 3: Advancing on CI/CD Design Patterns – from Testing to Deployment

5. Chapter 4: Business Outcome Alignment with CI/CD Design Patterns

6. Part 2: Structural Design Patterns for CI/CD

7. Chapter 5: Exploring Structural CI/CD Design Patterns

8. Chapter 6: Deployment Strategies for Structural Design Patterns for CI/CD

9. Part 3: Behavioral and Domain-Driven Design Patterns for CI/CD

10. Chapter 7: Understanding Behavioral Design Patterns for CI/CD

11. Chapter 8: Domain-Driven Design Patterns for Regulated Sectors

12. Part 4: Creational CI/CD Design Patterns

13. Chapter 9: Applying Creational CI/CD Design Patterns

14. Chapter 10: Understanding Deployment Strategies – Creational CI/CD with Cloud Providers

15. Chapter 11: Auditing and Assessment of Design Patterns

16. Part 5: Advanced Design Patterns and Anti-Patterns for CI/CD

17. Chapter 12: Advanced CI/CD Design Patterns and Use Cases

18. Chapter 13: Exploring Anti-Patterns for CI/CD Design Pattern Deployments

19. Part 6: Case Studies

20. Chapter 14: Appendix – Knowledge Test and Case Studies

21. Index

Why subscribe?

22. Other Books You May Enjoy

Further evolution and roadmap considerations

Software development, along with CI/CD, has established itself as a cornerstone of modern DevOps practices, streamlining the process from code commit to production deployment. Advanced CI/CD design patterns and use cases are continuously evolving to accommodate the growing complexity of software systems and the need for faster delivery cycles. As organizations strive for efficiency and agility, it’s crucial to consider the integration of machine learning and generative AI into CI/CD pipelines, which can predict potential issues and automate solutions, enhancing the robustness of the deployment process. Furthermore, near-real-time CI/CD design patterns are gaining traction, enabling organizations to react swiftly to changes in the world or in user behavior. We have to adopt new ways, which we will discuss in the next section.