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 8: Architecting AIOps

In this chapter, we will learn how artificial intelligence for IT operations (AIOps) platforms are designed and what sets them apart from any other monitoring tool. You will get a better understanding of why these platforms will become a necessity in the future of IT. The chapter starts by explaining the logical architecture model and then drills down to the key components in AIOps using data lakes and analysis through machine learning. We will define the reference architecture for an AIOps platform and learn how this will drive operations as we integrate the technical services architecture in AIOps. The chapter will provide insights into algorithms, anomaly detection, and auto-remediation.

After completing this chapter, you will be able to recognize the various key components of AIOps and define the reference architecture. You will learn some important lessons in implementing AIOps in enterprises, avoiding some major pitfalls.

In this chapter...