Book Image

Enterprise DevOps for Architects

By : Jeroen Mulder
4 (1)
Book Image

Enterprise DevOps for Architects

4 (1)
By: Jeroen Mulder

Overview of this book

Digital transformation is the new paradigm in enterprises, but the big question remains: is the enterprise ready for transformation using native technology embedded in Agile/DevOps? With this book, you'll see how to design, implement, and integrate DevOps in the enterprise architecture while keeping the Ops team on board and remaining resilient. The focus of the book is not to introduce the hundreds of different tools that are available for implementing DevOps, but instead to show you how to create a successful DevOps architecture. This book provides an architectural overview of DevOps, AIOps, and DevSecOps – the three domains that drive and accelerate digital transformation. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this DevOps book will help you to successfully integrate DevOps into enterprise architecture. You'll learn what AIOps is and what value it can bring to an enterprise. Lastly, you will learn how to integrate security principles such as zero-trust and industry security frameworks into DevOps with DevSecOps. By the end of this DevOps book, you'll be able to develop robust DevOps architectures, know which toolsets you can use for your DevOps implementation, and have a deeper understanding of next-level DevOps by implementing Site Reliability Engineering (SRE).
Table of Contents (21 chapters)
1
Section 1: Architecting DevOps for Enterprises
7
Section 2: Creating the Shift Left with AIOps
13
Section 3: Bridging Security with DevSecOps

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...