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AIOps is acronym for Algorithmic IT operations which was coined by Gartner. It represents automated solutions which consists of machinelearning algorithms and techniques to solve unknown, critical, complex and hidden IT operationalproblems. It helps tointelligently classifylog events, predict alerts and standard operating procedures (SOP) and automate solutions. Since past few years, AIOPS has been growingextremely, manyorganisations and vendors started exploringAIOps solutions. Gartner recently redefinedAIOps as―Artificial Intelligence for IT Operations.‖

AIOps helps to improve IT system service quality and customer satisfaction. It also boost DevOps productivity and reduce human efforts and operationalcost. In this technical research work, wefirst summarize what is AIOps, its components, use cases, need of AIOps platform and real-world challenges. We then propose a framework designforAIOps platform based on our earlier research work andoutcomes. AIOps is still evolving which need continuous learning and improvement through scientificresearchand experiment work.