Pega Robot Manager monitors failed robotic automations over a
period of time to stop underperforming robots. By identifying and stopping robots that
fail their assignments too often, Robot Manager reduces the
total number of failed assignments. In addition, this strategy reduces the maintenance
effort needed from human operators to either re-process or delete such
You can influence how Robot Manager evaluates robot
performance by using the following failure threshold types that are applicable at the
level of a specific work group:
- The number of consecutive failed assignments within the alert evaluation
- The percentage of failed assignments within the alert evaluation time
In addition, Robot Manager sends warning messages about
robots that are approaching a failure threshold. In this way, an administrator can deal
with failing robotsFailing robots before Robot Manager stops
those failing robots.
- Understanding robot failure thresholds
Learn about failure thresholds and other settings that specify how Pega Robot Manager determines whether robots are underperforming.
- Configuring robot failure tolerance
For robots that fail their assignments too often, configure work group-specific thresholds to stop the robot from working in the current work group if these specific thresholds are exceeded.