The latest News and Information on AIOps, alerting in complex systems and related technologies.
The hype has gone off the charts for AI and machine learning tools' potential in IT organizations. It’s time to temper expectations and move towards a sensible adoption path. Artificial intelligence is not fairy dust sprinkled on a data center, despite the enthusiastic proclamations of many IT operations vendors today. A couple of years ago, AI was the bride atop the wedding cake. It was perfect, with promises to render obsolete errors and out-of-control performance issues.
My 2nd Gartner IOCS experience ended with a bang, just like my first one, with an amazing presentation by Jason Walker at Blizzard Entertainment (part of the $42B Activision-Blizzard gaming powerhouse) on how they use AIOps to deliver an amazing gaming experience for hundreds of millions of gamers around the world, 24×7. But before I get to that, let me share some more key takeaways from the conference.
Observability without AIOps is just noise.
Ticketing systems have remained largely unchanged for three decades. Teams supporting either legacy or DevOps applications both suffer high costs.
No one wants to get paged in the middle of the night for an issue or failure within their infrastructure. When this does happen, IT operations engineers need to be able to quickly and confidently identify where the fire is and how to put it out to minimize negative impact. The root cause analysis (RCA) feature within LogicMonitor’s new AIOps Early Warning System makes this easier than ever.
