Operational Insights leverages the CLAIRE engine, which employs statistical and machine learning approaches to detect data outliers and anomalies, to provide insights that notify you about abnormal PowerCenter workflow run behavior.
CLAIRE detects anomalies by analyzing elapsed run times, data processed and loaded, and rows processed and loaded for workflows each day. You can use this data to identify time periods during which anomalous or abnormal behavior occurred and determine the root cause.
Click
PowerCenter
in the left hand navigation bar.
Perform one of the following steps:
Click the
New Insights
link in the panel for a domain.
Click a PowerCenter domain in the dashboard page, and then click
View
in the panel indicating that workflows with insights have been detected.
The Jobs page opens with a list of the workflow instances that have anomalous behavior.
Anomalous values are enclosed in red boxes. Click a value enclosed in a red box, and then click
Show All Anomalies of this Job
.
Click the tab above the graph for the metrics containing the anomalous run data, such as
Data Processed
.
The graph updates with data for the workflow instance. Bars in the graph correlating to anomalous behavior are indicated by a red dot.
Click a red dot in the graph to view the details for the anomaly.