When healthcare’s IT infrastructure was largely limited to servers in closets, it wasn’t hard to monitor system performance, access and security. But in an era of Software as a Service tools, and in an industry where consumers have the right to access their data, that can get complicated.
“You used to be able to just power down and reboot,” says Patrick Lin, senior vice president and general manager of observability at Splunk. “As systems have become more complex, there’s a lot more data to gather, process and analyze. You need to augment the ability of human beings to keep everything going.”
This explosion in the volume and complexity of workloads has led to a lot of noise that’s increasingly difficult to separate from valid signals, says Krishna Sai, group vice president of engineering at SolarWinds. “You can’t do that manually in a needle-in-a-haystack model.”
Enter artificial intelligence for IT operations, or AIOps. Automated analysis of systems and applications helps IT teams to understand what’s happening and orchestrate a response. Mature solutions are being designed to predict bottlenecks or security vulnerabilities before they become a problem.
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