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Artificial intelligence for IT operations, or AIOps, has expanded significantly in current years. But the bulk of AIOps apps is used in the IT industry. In contrast, the data center infrastructure area has limited applications. A work design or technique could not be easily copied from one or more domains due to drastically differing business circumstances & data properties, as demonstrated by numerous real-world examples. This article presents an AIOps framework for the domain of monitoring data center infrastructure. Core modules, including technological architectures, machine learning algorithm, large data, & business applications, are provided, & the specifics are built into practices. Instead of covering every aspect of the architecture job, this article concentrates on the technical aspect. In other words, this article will not examine NFRs (non-functional requirements), which include performance, availability, manageability, & security
Ajay Reddy Yeruva (Mon,) studied this question.