Dynatrace version 1.230+
This section refers to Google Cloud service metrics that are available with Google Cloud version 1.0 integration.
After deploying the Dynatrace integration, you can get insights into Google Cloud services metrics collected from the Google Operations API to ensure health of your cloud infrastructure.
Below, see the list of Google Cloud supported services.
| Services | Supported entities1 | Supported logs | Logs entities |
|---|---|---|---|
| Google Cloud AI Platform monitoring (deprecated) | cloudml_job, cloudml_model_version | yes | cloudml_job, cloudml_model_version |
| Google Cloud AlloyDB monitoring | alloydb_database, alloydb_instance | yes | alloydb_database, alloydb_instance |
| Google Cloud APIs monitoring | no | ||
| Google Cloud Apigee monitoring | apigee_environment, apigee_proxy, apigee_target | no | |
| Google App Engine with Operations suite metrics monitoring | gae_app | yes | gae_app |
| Google Cloud Assistant Smart Home monitoring | no | ||
| Google BigQuery monitoring | bigquery_bigengine_model | no | |
| Google Cloud Bigtable monitoring | bigtable_cluster, bigtable_table | no | |
| Google Cloud DNS monitoring | no | ||
| Google Cloud Functions monitoring | cloud_function | yes | cloud_function |
| Google Cloud IoT Core monitoring (deprecated) | no | ||
| Google Cloud Router monitoring | nat_gateway | yes | nat_gateway |
| Google Cloud Run monitoring | cloud_function, cloud_run_revision | yes | cloud_run_revision |
| Google Cloud Storage monitoring | gcs_bucket | yes | gcs_bucket |
| Google Cloud Tasks monitoring | cloud_tasks_queue | yes | cloud_tasks_queue |
| Google Cloud Composer monitoring | cloud_composer_environment | yes | cloud_composer_environment |
| Google Compute Engine with Operations suite metrics monitoring | autoscaler, gce_instance, instance_group, tpu_worker | yes | autoscaler, gce_autoscaler, gce_instance_group, gce_instance, tpu_worker |
| Google Cloud Data Loss Prevention monitoring | no | ||
| Google Cloud Storage Transfer Service monitoring | storage_transfer_job, transfer_service_agent | yes | storage_transfer_job |
| Google Cloud Dataflow monitoring | no | ||
| Google Cloud Dataproc monitoring | cloud_dataproc_cluster | yes | cloud_dataproc_cluster |
| Google Cloud Firestore in Datastore mode monitoring | no | ||
| Google Cloud Filestore monitoring | filestore_instance | no | |
| Google Cloud Firebase monitoring | no | ||
| Google Cloud Firestore monitoring | firestore_database | no | |
| Google Cloud Hybrid Connectivity monitoring | interconnect, interconnect_attachment, gce_router, vpn_gateway | yes | gce_router, vpn_gateway |
| Google Kubernetes Engine monitoring | k8s_cluster, k8s_container, k8s_node, k8s_pod | yes | k8s_cluster, k8s_container, k8s_node, k8s_pod |
| Google Cloud Load Balancing monitoring | https_lb, internal_http_lb_rule, internal_network_lb_rule, network_lb_rule, tcp_ssl_proxy_rule | yes | http_load_balancer, internal_http_lb_rule, internal_network_lb_rule, network_lb_rule, tcp_ssl_proxy_rule |
| Google Managed Microsoft AD monitoring | microsoft_ad_domain | no | |
| Google Cloud Memorystore monitoring | redis_instance | yes | redis_instance |
| NetApp on Google Cloud monitoring | netapp_volumes_replication, netapp_volumes_storage_pool, netapp_volumes_volume | no | |
| Google Cloud Network Security monitoring | network_security_policy | yes | network_security_policy |
| Operations: Cloud Monitoring & Logging | uptime_url | yes | uptime_url |
| Google Cloud Pub/Sub monitoring | pubsub_snapshot, pubsub_subscription, pubsub_topic | yes | pubsub_snapshot, pubsub_subscription, pubsub_topic |
| Google Cloud Pub/Sub Lite monitoring | subscription_partition, topic_partition | no | |
| Google Cloud Spanner monitoring | spanner_instance | yes | spanner_instance |
| Google Cloud SQL monitoring | cloudsql_database | yes | cloudsql_database |
| Google Cloud Virtual Private Cloud (VPC) monitoring | vpc_access_connector | yes | vpc_access_connector |
| Google Cloud Network Topology monitoring | no | ||
| Google Vertex AI monitoring | vertex_ai_deployment_resource_pool, vertex_ai_endpoint, vertex_ai_feature_online_store, vertex_ai_feature_store, vertex_ai_pipeline_job, vertex_ai_index, vertex_ai_index_endpoint, vertex_ai_publisher_model, vision_ai_instance, vision_ai_stream | yes | vertex_ai_deployment_resource_pool, vertex_ai_endpoint, vertex_ai_feature_store, vertex_ai_pipeline_job, vertex_ai_index_endpoint |
Services might have one entity, several entities, or none.
To check available metrics for a service, you need to
All cloud services consume DDUs. The amount of DDU consumption per service instance depends on the number of monitored metrics and their dimensions (each metric dimension results in the ingestion of 1 data point; 1 data point consumes 0.001 DDUs). For details, see Extending Dynatrace (Davis data units).
DDU consumption applies to cloud Log Monitoring. See DDUs for Log Monitoring for details.