Using Teradata Viewpoint, you can monitor ML Engine pod resource consumption, correct any resource bottlenecks, pinpoint long-term and cyclical utilization trends, and set health thresholds.
System monitoring is on by default and is managed completely from Teradata Viewpoint. To monitor your system, you must first add Machine Learning Engine in the Teradata Viewpoint Monitored Systems portlet.
To configure system health thresholds for CPU, Pod CPU Skew, and Active Sessions, define threshold values in System Health Details in the Monitored Systems portlet.
See Teradata® Viewpoint User Guide, B035-2206.