We used Anomaly Detection and Automated Root Cause Analysis to quickly find the root cause of a Business Transaction performance problem. What kind of time and effort did Anomaly Detection and Automated Root Cause Analysis save us in this case?

Recall that the tier where the Business Transaction started, /order, has multiple services as dependencies. Anomaly Detection and Automated Root Cause Analysis identified the most relevant tier and the most relevant metric on the tier as the origin of the issue.

You were spared the tedious process of investigating multiple metrics on each dependency in turn. Instead, you confirmed or negated Suspected Causes with a quick glance at timelines, flow maps, and metrics. Anomaly Detection and Automated Root Cause Analysis performed the vast majority of the work in root cause analysis, presenting you with the information you needed to quickly form and verify a hypothesis.