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Enterprise DevOps for Architects

You're reading from   Enterprise DevOps for Architects Leverage AIOps and DevSecOps for secure digital transformation

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781801812153
Length 288 pages
Edition 1st Edition
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Authors (2):
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Jeroen Mulder Jeroen Mulder
Author Profile Icon Jeroen Mulder
Jeroen Mulder
Jeroen Mulder Jeroen Mulder
Author Profile Icon Jeroen Mulder
Jeroen Mulder
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Architecting DevOps for Enterprises
2. Chapter 1: Defining the Reference Architecture for Enterprise DevOps FREE CHAPTER 3. Chapter 2: Managing DevOps from Architecture 4. Chapter 3: Architecting for DevOps Quality 5. Chapter 4: Scaling DevOps 6. Chapter 5: Architecting Next-Level DevOps with SRE 7. Section 2: Creating the Shift Left with AIOps
8. Chapter 6: Defining Operations in Architecture 9. Chapter 7: Understanding the Impact of AI on DevOps 10. Chapter 8: Architecting AIOps 11. Chapter 9: Integrating AIOps in DevOps 12. Chapter 10: Making the Final Step to NoOps 13. Section 3: Bridging Security with DevSecOps
14. Chapter 11: Understanding Security in DevOps 15. Chapter 12: Architecting for DevSecOps 16. Chapter 13: Working with DevSecOps Using Industry Security Frameworks 17. Chapter 14: Integrating DevSecOps with DevOps 18. Chapter 15: Implementing Zero Trust Architecture 19. Assessments 20. Other Books You May Enjoy

Introducing AI-enabled DevOps

In the previous chapter, we studied the AIOps platform, concluding that it will help operators in getting rid of tedious, repetitive tasks, detecting and solving issues faster, and enabling more stable systems. Stability and resilience are still the key aspects operators strive for with IT systems, yet new features and changes to the systems are being developed and launched at an increasing speed. If AI can help operations, it can also help development. This section will explain why AI-enabled DevOps will help in creating better systems at a higher velocity.

AI can help developers monitor and detect issues in their builds faster than if this were done only manually or even in an automated process, without the power of AI. With AI, it's possible to continuously monitor code changes, compare these to other code building blocks, and swiftly detect issues. But AI will also enable predictive mitigations: it will learn how certain code changes may impact...

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