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AIOps Isn’t a Tool — It’s a Strategy for the Modern Enterprise

According to Gartner, the use of artificial intelligence for IT operations (AIOps) in large enterprises will increase from a measly 5% in 2018 to 30% in 2023 — that’s 500% growth in just five years. Why the increased need for AIOps? Another report from the AIOps Exchange found that 40% of the surveyed IT organizations saw more than one million alerts every day, with 11% seeing more than 10 million. And while the need is there, IT teams face organizational challenges that hinder their ability to fully adopt AIOps: 

  • Reactive action vs. proactive action: Teams are often in reactive mode as they respond to increasing volumes of incidents. False alarms, data, and noise are on the rise, making it difficult to be proactive and find a true focus.

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The Most Important Elements of AIOps

AIOps

With increasing efficiency and sophistication, the IT environment is becoming extremely complex too. The recent shift to microservices and containers has further added to the already large number of components that go into a single application, which means the challenge is equally big when it comes to orchestrating all of them.

The ability of IT Ops teams to handle such complexities is fairly limited and hiring more resources to configure, deploy, and manage them is not very cost-effective.