Complexity breaks correlation. Intelligence brings cohesion. This simple principle is what makes real-time asset intelligence a must-have for AIOps that is meant to diffuse complexity. To further create a context for the user, it is critical to understand service dependencies and correlate alerts across the stack to resolve incidents. CMDB systems have been useful to break down configuration items into logical layers. But, that’s not enough because they can become outdated very soon.

Gartner predicts that large enterprise exclusive use of AIOps and digital experience monitoring tools to monitor applications and infrastructure will rise from 5% in 2018 to 30% in 2023. And this prediction is soon turning into a reality. AIOps is showing promising business value as it impacts measurable metrics such as mean time to detect (MTTD), mean time to acknowledge (MTTA), mean time to restore/resolve (MTTR), service Availability, percentage of automated versus manual resolution, and so on.

IT teams live in dynamic environments and continuous integration/continuous delivery has been on high demand. In the dynamic environment, DevOps and underlying technologies such as containers and microservices, continue to grow more dynamic, and complex. Now, just like DevOps, observability has become a part of the software development life cycle.