The latest News and Information on AIOps, alerting in complex systems and related technologies.
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.
AIOps helps DevOps teams in multiple ways, including by boosting developer productivity, improving the customer experience, and increasing the CI/CD cycle frequency.
If your end users regularly report issues before your Operations team discovers them, you need AIOps for earlier detection, faster action, and more precise diagnostics.
Curious about AIOps these days? You’re not alone. AIOps (Artificial Intelligence for IT Operations) is all about analyzing and automating your IT operations using artificial intelligence and machine learning algorithms. These operations include end-to-end workflows that bring monitoring, analytics, incident management, and automation systems together with a common goal of optimizing and automating operational tasks.
