More devices (most notably Internet of Things, or IoT), systems and applications are providing a tsunami of data that IT needs to monitor. For example, a locomotive can produce terabytes of data during a trip. In IT terms this explosion is called Big Data.
No human can process the explosion of data IT Operations is expected to handle. IT teams cannot prioritize different issues for resolution in a timely fashion. They are inundated with a large volume of alerts many of which are redundant. This negatively impacts user and customer experience.
Traditional IT management solutions cannot keep up with this volume. They cannot intelligently sift through events from the sea of information. They cannot correlate data across interdependent but separate environments. They cannot deliver the predictive analysis and real-time insight IT operations needs to respond to issues quickly enough.
To identify, resolve and prevent high-impact outages and other IT operations problems faster, organizations are turning to AIOps. AIOps enables IT operations teams to respond quickly and proactively to outages and slowdowns while expending much less effort. It bridges the gap between a dynamic, diverse and difficult IT landscape on the one hand and user expectations for minimal or no interruption in system availability and performance.