AIOps: Why developing trust in automation takes time paid AppDynamics
, 74% of respondents said they want to use monitoring and analytics tools proactively to detect emerging performance issues, optimize user experience, and drive business outcomes such as revenue and conversion.Why do enterprises need AIOps? Because complexity is exploding. Scale is massive. A single interaction on your smartphone, for instance, may touch dozens of computers and services—and millions of lines of code—across the internet.
Why the hesitation? It seems that while customers are onboard with AIOps, many aren’t quite ready to let automaton fly by itself. Of course, to fully automate the loop, trust is essential. Trust takes time, though, particularly when remediation is required. Some problems are better candidates for automation than others. A customer, for instance, may be more comfortable with an automated system that launches servers to handle increased load, as opposed to one that shuts down servers when traffic drops.Network triage is another strong candidate for automation, or perhaps a hybrid approach that involves both automated and manual action.
From the AIOps vendor perspective, finding the ideal recommendation system may vary by user and product. A rating system—thumbs up/thumbs down, one-to-five stars, etc.—would help the user gauge the effectiveness of a particular recommendation. This feedback loop enables the vendor to provide better recommendations, and allows the user over time to grow more comfortable with a fully automated response.
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