This topic describes the metrics for the Elastic Algorithm Service (EAS) provided by Machine Learning Platform for AI (PAI) for online inference.

When you call an API operation provided by CloudMonitor, set the Namespace and Period parameters.

  • Set the Namespace parameter to acs_learn.
  • Set the Period parameter to an integral multiple of 60. Default value: 60. Unit: seconds.

The following table describes the valid values of the MetricName and Dimensions parameters.

Metric Unit MetricName Dimensions Statistics
CPUConsumption Count cpu_core_usage userId and serviceName Average and Maximum
GPUUtilization % gpu_util userId and serviceName Average and Maximum
MemoryComsumption Byte memory_rss userId and serviceName Average, Maximum, and Minimum
QueryPerSecondTotal Frequency qps_total userId and serviceName Value, Average, and Maximum
ResponsePerSecondWithStatusCode2xx Frequency rps_status_2xx userId and serviceName Average, Maximum, Value, and Minimum
2xxResponseRatio % rps_status_2xx_ratio userId and serviceName Average, Minimum, Maximum, and Value
ResponsePerSecondWithStatusCode4xx Frequency rps_status_4xx userId and instanceId Average, Maximum, and Value
4xxResponseRatio % rps_status_4xx_ratio userId and serviceName Average, Maximum, Minimum, and Value
ResponsePerSecondWithStatusCode5xx Frequency rps_status_5xx userId and serviceName Average, Maximum, and Value
5xxResponseRatio % rps_status_5xx_ratio userId and serviceName Average, Maximum, Minimum, and Value
ResponseTime Microsecond rt userId and serviceName Average, Maximum, and Minimum
IngressTraffic bps traffic_in userId and serviceName Average, Maximum, Minimum, and Value
EgressTraffic bps traffic_out userId and serviceName Average, Maximum, Minimum, and Value