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...