What is AIOps?
AI Classified by Officially
Artificial Intelligence for IT Operations (AIOps) applies AI and machine learning to IT operations to detect anomalies, correlate events, identify root causes, and trigger responses faster than any manual process can.
Gartner coined the term in 2017. So why are you reading about it now?
Because the infrastructure running your applications in 2026 looks nothing like what traditional monitoring was built for. You are managing hundreds of microservices, multi-cloud dependencies, AI workloads, and agent-driven systems that generate more operational signals in an hour than an on-call engineer can read in a week.
That gap is what AIOps is now positioned to close. This guide explains how it works, where it fits, and what to evaluate before choosing a platform.
AIOps analyzes data from logs, traces, events, and network topology to detect issues and predict failures before they surface as incidents.
This is an extract. The publication continues at the source.
Read the original at the source: https://www.databricks.com/blog/what-is-aiops
Officially imported this from Databricks’s own source and shows an extract. If you work there, claiming the profile and verifying the domain lets you choose to show the full text here.
Provenance
- Organization
- Databricks — imported from official source
- Official source
- https://www.databricks.com/feed RSS
- Imported
- September 20, 2026 19:52
- Versions
- 1 recorded
- Identity
https://www.databricks.com/blog/what-is-aiops