Teradata Machine Learning Engine Alert Metrics & Properties | Teradata Viewpoint - 17.10 - Teradata Machine Learning Engine Alert Metrics and Properties - Teradata Viewpoint - Teradata Workload Management

Teradata® Viewpoint User Guide

Product
Teradata Viewpoint
Teradata Workload Management
Release Number
17.10
Release Date
October 2021
Content Type
User Guide
Publication ID
B035-2206-101K
Language
English (United States)
These metrics are available for Teradata Machine Learning Engine alerts. The associated property names allow you to customize alert actions in the Alert Setup portlet or customize the message in the Monitored Systems portlet.

Metrics for Pod Alert Types

Metric Description Property Name
CPU Amount of available processing power used cpuUse
Network In Rate of network traffic into the worker or queen in bytes per second netIn
Network Out Rate of network traffic out of the worker or queen in bytes per second netOut
Type Values as follows:
  • Workers hold the data and process the queries
  • Queens manage the process, including the performance of the workers and delegation of queries
type

Metrics for Process Alert Types

Metric Description Property Name
Duration How long the process ran processExecutionTime
User Name of the user who submitted the process userName

Metrics for System Alert Types

Metric Description Property Name
Active Processes Number of processes with active queries activeSessions
CPU Average CPU use cpu
Pod CPU Skew Comparison of CPU use on the busiest queen or worker to that of the average one podCpuSkew

Metrics for System Health Alert Types

Metric Description Property Name
Health Name of the system health state health