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AI for IT Operations (AIOps): Applications, Challenges, and Benefits
Abstract
The goal of this article is to provide a holistic view of AIOps that includes an introduction to IT operations and its evolution and its role in end-to-end management of IT operations. The chapter briefly explains the limitations of traditional IT operations and the need for an automated, intelligent, data-driven predictive system for IT operations. It explains how transformation of traditional ITOps into AIOps with the aid of simple methodology. A conceptual layered architecture of AIOps is presented and explained the internal components of the system. The article explained various implementation challenges of AIOps. Two use cases are presented for failure management and incident risk predication system.
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