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Google AI Platform monitoring

Dynatrace GCP integration leverages data collected from the Google Operation API to constantly monitor health and performance of Google Cloud Platform Services. While combining all relevant data into dashboards, it also enables alerting and event tracking.

Prerequisites

Set up integration

Add services and feature sets optional

After integration, Dynatrace automatically monitors a number of preset GCP services and feature sets (metrics). Besides these, you can add more services or feature sets to monitoring. For details, see Add or remove services.

For a list of feature sets available for this service, see Metric table.

Extensions for GCP services

After adding a service to monitoring, it appears as an enabled extension in Dynatrace. Then, your dashboards and metric events are instantly available in your Dynatrace environment. To see the list of extensions, in the Dynatrace menu, go to Extensions.

Note: If you want to stop a service from sending metrics to Dynatrace, removing the relevant extension isn't enough. You also need to remove the service from monitoring. For details, see Add or remove services.

View metrics

After deploying the integration, you can see metrics from monitored services in the Metrics browser, the Data explorer, and your dashboard tiles.

Metric table

The following feature sets are available for Google AI Platform.

Feature setNameUnitGCP metric identifier
cloudml_job/default_metricsAccelerator memory utilizationPercentml.googleapis.com/training/accelerator/memory/utilization
cloudml_job/default_metricsAccelerator utilizationPercentml.googleapis.com/training/accelerator/utilization
cloudml_job/default_metricsCPU utilizationPercentml.googleapis.com/training/cpu/utilization
cloudml_job/default_metricsMemory utilizationPercentml.googleapis.com/training/memory/utilization
cloudml_job/default_metricsNetwork bytes receivedByteml.googleapis.com/training/network/received_bytes_count
cloudml_job/default_metricsNetwork bytes sentByteml.googleapis.com/training/network/sent_bytes_count
cloudml_model_version/default_metricsError countCountml.googleapis.com/prediction/error_count
cloudml_model_version/default_metricsLatencyMicroSecondml.googleapis.com/prediction/latencies
cloudml_model_version/default_metricsAccelerator duty cyclePercentml.googleapis.com/prediction/online/accelerator/duty_cycle
cloudml_model_version/default_metricsAccelerator memory usageByteml.googleapis.com/prediction/online/accelerator/memory/bytes_used
cloudml_model_version/default_metricsCPU usagePercentml.googleapis.com/prediction/online/cpu/utilization
cloudml_model_version/default_metricsMemory usageByteml.googleapis.com/prediction/online/memory/bytes_used
cloudml_model_version/default_metricsNetwork bytes receivedByteml.googleapis.com/prediction/online/network/bytes_received
cloudml_model_version/default_metricsNetwork bytes sentByteml.googleapis.com/prediction/online/network/bytes_sent
cloudml_model_version/default_metricsReplica countCountml.googleapis.com/prediction/online/replicas
cloudml_model_version/default_metricsReplica targetCountml.googleapis.com/prediction/online/target_replicas
cloudml_model_version/default_metricsPrediction countCountml.googleapis.com/prediction/prediction_count
cloudml_model_version/default_metricsResponse countCountml.googleapis.com/prediction/response_count
Related topics
  • Google Cloud integrations

    Set up and configure Dynatrace on Google Cloud Platform.