Operations | Monitoring | ITSM | DevOps | Cloud

Since the term ‘AIOps’ came into use in the monitoring sector a couple of years ago, there has been much confusion about what it means. We hear from users asking if they need it – a difficult question given that the answer depends on how you define it. Since there isn’t a broadly accepted definition, a range of vendors now market their products as AIOps offerings, even though these products cross subsectors and may not be directly competitive.

DevOps is fast, glamorous and agile. It is key to keeping modern, fast-moving IT environments up and running. And it is no stranger to automation: DevOps has been relying on automation for many years now to ensure the rapid delivery of applications in this ever-changing landscape. Yet even the most agile and advanced DevOps teams cannot escape the growing complexity, scale and pace of the modern IT stack.

This article originally appeared in TechBeacon. Gartner first coined the term "AIOps" a few years ago to describe "artificial intelligence for IT operations," and over the last few years, IT operations monitoring tool vendors have begun incorporating AIOps features into their products. Now AIOps tools are commonplace, but many IT leaders remain cautious about using these relatively new capabilities.