Monitored resource types

This page lists the monitored-resource types available in Cloud Monitoring. The list of monitored-resource types in Monitoring is not the same as the list of monitored-resource types in Logging.

About the list

This list is regenerated frequently and time-stamped. The fields listed for each resource type are defined in the MonitoredResourceDescriptor object type in the Monitoring API. For an introduction to monitored resources, see Metrics, time series, and resources.

Cloud Endpoints: APIs managed by Cloud Endpoints write serviceruntime metrics against the api monitored-resource type.

The following list was last generated at 2026-09-17 20:02:49 UTC.

abuseevent.googleapis.com/Location

Display name: Abuse Event

Description: A GCP resource container associated with an abuse event.

Labels:

  • resource_container: The GCP resource identifier associated with the abuse event.
  • location: The location where the abuse event was observed.

accesscontextmanager.googleapis.com/AccessPolicyQuotaResource

Display name: Access policy resource.

Description: Access policy resource.

Labels:

  • resource_container: The GCP container associated with the metric.
  • location: Location for the quota.
  • access_policy: The access policy custom dimension.

aiplatform.googleapis.com/DeploymentResourcePool

Display name: Vertex AI Deployment Resource Pool

Description: A Vertex AI Deployment Resource Pool.

Labels:

  • resource_container: The identifier of the GCP Project owning the Deployment Resource Pool.
  • location: The region in which the service is running.
  • deployment_resource_pool_id: The ID of the Deployment Resource Pool.

aiplatform.googleapis.com/Endpoint

Display name: Vertex AI Endpoint

Description: A Vertex AI API Endpoint where Models are deployed into it.

Labels:

  • resource_container: The identifier of the GCP Project owning the Endpoint.
  • location: The region in which the service is running.
  • endpoint_id: The ID of the Endpoint.

aiplatform.googleapis.com/FeatureOnlineStore

Display name: Vertex AI Feature Online Store

Description: A Vertex AI Feature Online Store.

Labels:

  • resource_container: The identifier of the GCP Project owning the FeatureOnlineStore.
  • location: The region in which the service is running.
  • feature_online_store_id: The ID of the Feature Online Store.

aiplatform.googleapis.com/Featurestore

Display name: Vertex AI Feature Store

Description: A Vertex AI Feature Store.

Labels:

  • resource_container: The identifier of the GCP Project owning the Featurestore.
  • location: The region in which the service is running.
  • featurestore_id: The ID of the Featurestore.

aiplatform.googleapis.com/Index

Display name: Matching Engine Index

Description: An Index built through the cloud Matching Engine service.

Labels:

  • resource_container: The identifier of the GCP Project owning the Index.
  • location: The region in which the service is running.
  • index_id: The ID of the Index.

aiplatform.googleapis.com/IndexEndpoint

Display name: Matching Engine Index Endpoint

Description: An Endpoint to which Matching Engine Indexes are deployed.

Labels:

  • resource_container: The identifier of the GCP Project owning the Index.
  • location: The region in which the service is running.
  • index_endpoint_id: The ID of the index endpoint.

aiplatform.googleapis.com/Location

Display name: Location

Description: A Google Cloud Project and region where a job is running.

Labels:

  • resource_container: The identifier of the GCP project associated with this resource, such as "my-project".
  • location: The region in which the service is running.

aiplatform.googleapis.com/Model

Display name: Vertex AI Model

Description: A Vertex AI Model.

Labels:

  • resource_container: The identifier of the GCP Project owning the Model.
  • location: The region in which the service is running.
  • model: The identifier of the Model.

aiplatform.googleapis.com/ModelMonitor

Display name: Vertex AI Model Monitor

Description: A Vertex AI Model Monitor.

Labels:

  • resource_container: The identifier of the GCP Project owning the Model Monitor.
  • location: The region in which the service is running.
  • model_monitor_id: The identifier of the Model Monitor.

aiplatform.googleapis.com/OnlineEvaluator

Display name: Vertex AI Online Evaluator

Description: A Vertex AI Online Evaluator.

Labels:

  • resource_container: The resource container of the Online Evaluator.
  • location: The location of the Online Evaluator.
  • online_evaluator_id: The ID of the Online Evaluator resource.

aiplatform.googleapis.com/PipelineJob

Display name: Vertex Pipelines Job

Description: A Vertex Pipelines Job.

Labels:

  • resource_container: The identifier of the GCP project associated with this resource, such as "my-project".
  • location: The region in which the service is running.
  • pipeline_job_id: The ID of the PipelineJob.

aiplatform.googleapis.com/PublisherModel

Display name: Vertex AI Model Garden Publisher Model

Description: A Vertex AI Model Garden Publisher Model.

Labels:

  • resource_container: The identifier of the GCP Project owning the Endpoint.
  • location: The region in which the service is running.
  • publisher: The publisher of the model.
  • model_user_id: The resource ID of the PublisherModel.
  • model_version_id: The version ID of the PublisherModel.

aiplatform.googleapis.com/ReasoningEngine

Display name: Vertex AI Reasoning Engine

Description: A Vertex AI Reasoning Engine.

Labels:

  • resource_container: The identifier of the GCP Project owning the ReasoningEngine.
  • location: The region in which the service is running.
  • reasoning_engine_id: The numeric ID of the Reasoning Engine instance.

aiplatform.googleapis.com/SemanticGovernancePolicyEngine

Display name: Semantic Governance Policy Engine

Description: Semantic Governance Policy Engine resource.

Labels:

  • resource_container: The identifier of the GCP project associated with this resource.
  • location: The region in which the service is running.

aiplatform.googleapis.com/ServerlessRayJob

Display name: Vertex AI Serverless Ray Job

Description: A Vertex AI Serverless Ray Job.

Labels:

  • resource_container: The identifier of the GCP Project owning the Serverless Ray Job.