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

Product type Paperback

Published in Nov 2021

Publisher Packt

ISBN-13 9781801812153

Length 288 pages

Edition 1st Edition

Languages

Python

Tools

Ansible

Concepts

DevOps

Authors (2):

Jeroen Mulder

View More author details

Table of Contents (21) Chapters

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

Measuring the business outcomes of AIOps

In the previous sections, we discussed shift left and saw how we can define DevOps as a service. Next, we learned how to create total visibility of all assets in the enterprise as a starting point to implement AI-driven processes that will help improve development, deployment, and operations and with that, accelerate a shift left in IT. How will AI help with that?

AI is about analyzing data. AIOps is no different: it analyzes operational data and is able to give recommendations on improving systems in terms of performance and efficiency.
To get valid data and recommendations, AIOps has to reduce noise. Noise is a very common problem in operations and specifically in monitoring systems and CMDBs, as we learned in the previous section. What is really an issue and what is a false alert? AIOps is capable of analyzing these alerts and, with the help of algorithms that group alerts, can identify and prioritize these. The outcome is that...