This image illustrates how the Event and Historical databases interact to collect and analyze events.

It shows faults being collected by Unified Assurance fault collector microservices. The collectors apply rules to the faults, then add them as events in the Event database. The events are also subjected to policies and automations, and any additional rules required by the policies and automations.

The Replication Data Importer streams the event data to the Historical database, where the Observability Analytics machine learning algorithm interprets it and generates root cause events. A machine learning watcher sends these events to the fault collectors, which add them to the Event database. These events appear on the Observability Analytics dashboards.

The events in the Event database appear in the event list in the UI. From the event list, you can update the events and use context menu tools to open the Observability Analytics dashboards to see related events.