Sustainability Certification Program. Join Now! »

AIOps Certification with FREE Online Course. Join Now! AIOps refers to multi-layered technology platforms that automate and enhance IT operations by 1) using analytics and machine learning to analyze big data collected from various IT operations tools and devices, in order to 2) automatically spot and react to issues in real time. AIOps has two main components: Big Data and Machine Learning. It requires a move away from siloed IT data in order to aggregate observational data (such as that found in monitoring systems and job logs) alongside engagement data (usually found in ticket, incident, and event recording) inside a Big Data platform. AIOps then implements Analytics and Machine Learning (ML) against the combined IT data. The desired outcome is continuous insights that can yield continuous improvements with the implementation of automation. AIOps can be thought of as Continuous Integration and Deployment (CI/CD) for core IT functions. AIOps bridges three different IT disciplines—service management, performance management, and automation—to accomplish its goals of continuous insights and improvements. AIOps is the recognition that in our new accelerated, hyper-scaled IT environments, there must be a new approach that leverages advances in big data and machine learning to overcome legacy tool and human limitations. What’s Driving AIOps? The promise of artificial Intelligence has been to do what humans do but do it better, faster, and at scale. AIOps will do this for IT Operations by addressing the speed, scale, and complexity challenges of digital transformation.