AIOps tools present a way to cope with IT infrastructure sprawl and complexity, but how far they can go with hands-off automation features is still a topic for debate.
As enterprise IT shops put AIOps tools through their paces, they are divided about just how AI-driven the future of IT infrastructure management will be.
Some early adopters of AIOps tools already have taken a significant portion of traditional IT ops tasks out of the hands of humans. Others are skeptical about the term AIOps itself and see little benefit to advanced IT analytics beyond alert noise reduction. In either case, the technology still has far to go to fully mature.
“AIOps is a very new idea, and not many organizations are using it in anger as yet,” said Clive Longbottom, an independent analyst and a TechTarget contributor. “The position most are in are using a mix of tools with a degree of machine learning and lots of rule-based engines, which is the nub of the problem, as the rule-based engine will do what it is told time after time after time, even if the rule is wrong.”
A tale of two AIOps tools
AIOps users agree data analytics tools are necessary to address how quickly IT infrastructure has grown and how complex it has become. There, however, similarities between how much they trust AIOps automation may end.
At Carousel Industries, the OpsRamp AIOps tool has reduced 96% of the noise generated by hundreds of thousands of IT monitoring alerts on millions of devices the managed service provider operates for clients. Carousel has also begun to trust OpsRamp’s automated service ticket generation and resolution functions.
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