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Continuous Testing, Quality, Security, and Feedback

You're reading from   Continuous Testing, Quality, Security, and Feedback Essential strategies and secure practices for DevOps, DevSecOps, and SRE transformations

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835462249
Length 350 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Marc Hornbeek Marc Hornbeek
Author Profile Icon Marc Hornbeek
Marc Hornbeek
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1: Understanding Continuous Testing, Quality, Security, and Feedback
2. Chapter 1: Principles of Continuous Testing, Quality, Security, and Feedback FREE CHAPTER 3. Chapter 2: The Importance of Continuous Testing, Quality, Security, and Feedback 4. Chapter 3: Experiences and Pitfalls with Continuous Testing, Quality, Security, and Feedback 5. Part 2: Determining Solutions Priorities
6. Chapter 4: Engineering Approach to Continuous Testing, Quality, Security, and Feedback 7. Chapter 5: Determining Transformation Goals 8. Chapter 6: Discovery and Benchmarking 9. Chapter 7: Selecting Tool Platforms and Tools 10. Chapter 8: Applying AL/ML to Continuous Testing, Quality, Security, and Feedback 11. Part 3: Deep Dive into Roadmaps, Implementation Patterns, and Measurements
12. Chapter 9: Use Cases for Integrating with DevOps, DevSecOps, and SRE 13. Chapter 10: Building Roadmaps for Implementation 14. Chapter 11: Understanding Transformation Implementation Patterns 15. Chapter 12: Measuring Progress and Outcomes 16. Part 4: Exploring Future Trends and Continuous Learning
17. Chapter 13: Emerging Trends 18. Chapter 14: Exploring Continuous Learning and Improvement 19. Glossary and References 20. Index 21. Other Books You May Enjoy

Summary

This chapter provided a systematic and disciplined engineering approach to planning and implementing continuous testing, quality, security, and feedback. The chapter emphasized the necessity of an engineering approach in digital transformation, integrating technology with process and cultural changes. This included the Seven-Step Transformation Engineering Blueprint, explaining its application in continuous practices.

The integration of AI tools with the expertise of transformation consultants offers dynamic synergy in each step of the transformation process. AI contributes data-driven insights and automation to streamline decision-making, while consultants apply strategic oversight, industry knowledge, and critical interpretation of AI data to guide the transformation effectively. This collaborative approach ensures that organizational transformations are not only goal-aligned but also utilize cutting-edge technology for enhanced outcomes.

The chapter also detailed CMMs...

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