What is AIOps?
The use of AI and machine learning to automate and enhance IT operations, monitoring, and incident management.
Definition
AIOps (Artificial Intelligence for IT Operations) refers to the application of AI, machine learning, and big data analytics to automate and enhance IT operations tasks — including monitoring, anomaly detection, incident correlation, root cause analysis, and remediation. AIOps systems ingest logs, metrics, and events from multiple sources to surface insights and automate responses that would otherwise require manual analysis.
Example
An AIOps system detects that an error rate spike on the payment service correlates with a recent deploy, a downstream database latency increase, and a Kubernetes pod restart — and automatically creates an incident ticket with this correlation, reducing MTTR from 45 minutes to 8 minutes.
AIOps vs devops: What's the difference?
The use of AI and machine learning to automate and enhance IT operations, monitoring, and incident management.
DevOps is a set of practices and culture for software delivery. AIOps applies AI to automate and accelerate the monitoring and incident response parts of DevOps.