Operations | Monitoring | ITSM | DevOps | Cloud

In the modern IT era, most organizations are heavily on their IT infrastructure to stay relevant and competitive. However, managing complex IT systems can be a daunting task, as the volume of data grows and IT environments become more heterogeneous. To address these challenges, many organizations are turning towards artificial intelligence for IT operations (AIOps)—an approach that leverages AI and ML to streamline IT operations, improve efficiency, and reduce downtime.

IT people know that data is king, especially in optimizing IT operations. However, figuring out which metrics to collect and how to collect them can be challenging. IT teams have to factor in what IT directors, team managers, and the people overseeing operations want, what they’re concerned about, and what they consider important.

This is the story of an insurance company that was getting six million IT alerts every 90 days and how they used BigPanda’s AIOps to reduce it to less than 50,000. Before we get into that though, let’s take a step back. How did we, as an IT sector, get to a place where organizations receive 6,000,000 IT alerts in the first place?

As enterprises grow bigger, more sophisticated, and more complex, it can be difficult to detect signs that network reliability is at risk. That’s why the ScienceLogic SL1 AIOps platform uses advanced, real-time analytics to track behavioral correlation and understand issues affecting infrastructure performance—and solve them quickly.