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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

Scaling infrastructure with DevOps

One of the key features in modern DevOps is the use of cloud technology. In this section, we will discuss why enterprises gain a lot of benefit by moving infrastructure in cloud platforms such as AWS and Azure. First, we will study the principles of scaling, since this is one of the major benefits of using cloud infrastructure. At the end of the section, we will also touch upon next-level scaling with containers, given the fact that in the coming years, there will be a big shift from VMs to containers.

In DevOps projects, developers use pipelines, as we have seen in the previous chapter. Code is pulled from a repository, changed, tested, and pushed to the next stage. Code follows a promotion path: from development to test, acceptance, and—eventually—production systems. Development and test systems might not always be needed; they simply have to be there whenever they are required in the process. If the work is done, then these systems...

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