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

Defining the roadmap to NoOps

NoOps is not a leap of faith. As with DevOps and AIOps, any next step requires a plan and a roadmap. Using the principles of heuristic automation and AIOps, we can leverage automation for intelligent automation, collaborating with cloud-native automation, and automated application deployment in CI/CD pipelines.

The following figure shows how NoOps consists of three major components. These three components are the roadmap to get to a level of automation where dedicated operations are no longer required. DevOps teams are end-to-end responsible for the development, deployment, running, and maintenance of the code, supported by fully automated processes and AI:

Figure 10.3 – Components of NoOps

The end state is predictive automation using predictive analytics that analyzes current data to eventually make predictions for the future. It includes the following: