For mission-critical business operations, ensuring the performance and availability of IT operations is very important. Typically these are done manually, based on the user's acumen, and lack data-driven decision making. This becomes more difficult with the growing volume of data, devices, applications, and processes, as users can't keep track of every transaction, performance log, event, system failure, outage, etc. like routine IT operations incidents. In this scenario, businesses fail to analyze all data in real-time, implement automation for routine tasks, and forecast the demand surge and they also can't take data-driven decisions.

And, this is where AIOps come into play. It's a specialized software that connects with your cross-vendor, cross-platform applications, and devices to access real-time data from different sources. Then, it cleans and transforms the data using its built-in big-data analysis tools, uses Machine Learning to train the system and analyze the patterns, and then presents the analytics to the user. Users can see the patterns, identify the issues, see the forecast, and make informed decisions. And, that's all in near-real time on their screen.