What is AIOps and how does it work?

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IT teams have their own version of TMI: Security operations center (SOC) teams frequently handle too much information, sometimes receiving thousands of alerts per day. IT operations may have to watch screen-fulls of help-desk tickets, application uptimes, and event logs.

The overload has led many tech departments to turn to two other letters—AI—to assist in combing through the info to provide quick insight and action. The use of artificial intelligence for IT operations is often referred to as “AIOps.”

“There is no doubt: There is no future of IT operations that does not include AIOps,” said a May 2022 report from market-intelligence firm Gartner, which predicted a $2.1 billion market size in 2025 and a compound annual growth rate of 19%.

What is AIOps?

AIOps platforms, as defined by Gartner, analyze telemetry and events, and identify meaningful patterns that provide insights and support proactive responses. 

The basic idea: Big-data tools comb through infrastructure, networks, applications, cloud environments, and existing monitoring tools to resolve IT issues, like an app going down or a spam message showing up.

Data and analytics tools from vendors like Elastic and Splunk allow operators to build their own AIOps-eration, companies such as DataDog and LogicMonitor augment their existing monitoring capabilities with artificial intelligence, and AIOps platforms from manufacturers like BigPanda and Moogsoft ingest events and respond to incidents.