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

Chapter 7: Understanding the Impact of AI on DevOps

In this chapter, we will introduce artificial intelligence (AI) and what the impact of AI is on DevOps. We will discuss how this is driving a shift left in operations, by enabling the fast identification of issues already at the beginning of the DevOps cycle, using AI and machine learning (ML). Before we can implement systems such as AIOps, we need to get the enterprise ready for AIOps in the first place by creating visibility of all IT assets and workflows and mapping them to AI-driven processes. Next, we need an integrated toolset for both development and operations. Leading public cloud providers offer native toolsets, as we will see in this chapter.

After completing this chapter, you will have a good understanding of the concept of AI in DevOps processes. You will also have learned how AI-driven systems can help in achieving shift left. Before we discuss the possible outcomes and benefits of AIOps, we need to create full visibility...