What is Root Cause Analysis (RCA)?
When an entity in your application has an anomaly, you will want to know why. Anomaly Detection uses AI capabilities to enable Automated Root Cause Analysis to monitor the health of all the entities in your application, and show you the suspected causes for every anomaly. You can confirm or negate the suspected causes with a brief look, and drill down into deviating metrics and snapshots, as desired. Thus, you can quickly determine the root cause of any anomaly in the application.
How Does RCA Work?
RCA reduces the Mean Time to Identification (MTTI) by automatically pointing to the source of the problem. RCA considers metrics to identify the fault domain, and snapshots and events from the entire application, to find and surface suspected problems. This holistic approach is performed in two parts:
- Fault domain isolation—Identification of the exact location of the problem in the system
- Impacted component analysis—Analysis of logs, snapshots, trace, infrastructure, and so on to determine the affected components