google-cloud-mcp

# Google Cloud metrics | Cloud Monitoring [Skip to main content](#main-content) * [Documentation](https://cloud.google.com/docs) * [Guides](https://cloud.google.com/monitoring/docs/monitoring-overview) * [Reference](https://cloud.google.com/monitoring/docs/apis) * [Samples](https://cloud.google.com/monitoring/docs/samples) * [Resources](https://cloud.google.com/monitoring/quotas) * [Technology areas](https://cloud.google.com/docs/tech-area-overviews) * [Cross-product tools](https://cloud.google.com/docs/cross-product-overviews) * [Related sites](https://cloud.google.com/) * [Console](https://console.cloud.google.com/) * [Contact Us](https://cloud.google.com/contact) * [Start free](https://console.cloud.google.com/freetrial) * Cloud Monitoring * [All APIs and references](https://cloud.google.com/monitoring/docs/apis) * [Client libraries](https://cloud.google.com/monitoring/docs/reference/libraries) * Cloud Monitoring API v3 * [Introduction](https://cloud.google.com/monitoring/api/v3) * REST API reference * [Summary](https://cloud.google.com/monitoring/api/ref_v3/rest) * REST Resources * Types * [LabelDescriptor](https://cloud.google.com/monitoring/api/ref_v3/rest/v3/LabelDescriptor) * [LaunchStage](https://cloud.google.com/monitoring/api/ref_v3/rest/v3/LaunchStage) * [ListTimeSeriesResponse](https://cloud.google.com/monitoring/api/ref_v3/rest/v3/ListTimeSeriesResponse) * [MutationRecord](https://cloud.google.com/monitoring/api/ref_v3/rest/v3/MutationRecord) * [TimeSeries](https://cloud.google.com/monitoring/api/ref_v3/rest/v3/TimeSeries) * [TimeSeriesView](https://cloud.google.com/monitoring/api/ref_v3/rest/v3/TimeSeriesView) * [TypedValue](https://cloud.google.com/monitoring/api/ref_v3/rest/v3/TypedValue) * [View](https://cloud.google.com/monitoring/api/ref_v3/rest/v3/View) * REST Resources * Types * [HttpBody](https://cloud.google.com/monitoring/api/ref_v3/rest/v1/HttpBody) * Types * [MonitoredResource](https://cloud.google.com/monitoring/api/ref_v3/rest/Shared.Types/MonitoredResource) * [Status](https://cloud.google.com/monitoring/api/ref_v3/rest/Shared.Types/Status) * Metrics list * [Overview](https://cloud.google.com/monitoring/api/metrics) * [Google Cloud metrics](https://cloud.google.com/monitoring/api/metrics_gcp) * [Google Distributed Cloud metrics](https://cloud.google.com/monitoring/api/metrics_anthos) * [Istio metrics](https://cloud.google.com/monitoring/api/metrics_istio) * [Knative metrics](https://cloud.google.com/monitoring/api/metrics_knative) * [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes) * [External metrics](https://cloud.google.com/monitoring/api/metrics_other) * [Metric naming conventions](https://cloud.google.com/monitoring/api/v3/naming-conventions) * [Monitored resource list](https://cloud.google.com/monitoring/api/resources) * [Monitoring filters](https://cloud.google.com/monitoring/api/v3/filters) * [Process-health filters](https://cloud.google.com/monitoring/api/v3/process-health-filters) * [Monitoring Query Language reference](https://cloud.google.com/monitoring/mql/reference) Stay organized with collections Save and categorize content based on your preferences. Cloud Monitoring supports the metric types from Google Cloud services listed in this document. * For a general explanation of the entries in the tables, including information about values like `DELTA` and `GAUGE`, see [Metric types](https://cloud.google.com/monitoring/api/v3/kinds-and-types). To chart or monitor metric types with values of type `STRING`, you must use Monitoring Query Language (MQL), and you must convert the value into a numeric value. For information about MQL string-conversion methods, see [`String`](about:/monitoring/mql/reference#string-group). * For information about the units used in the metric lists, see the [`unit` field](about:/monitoring/api/ref_v3/rest/v3/projects.metricDescriptors#MetricDescriptor.FIELDS.unit) in the `MetricDescriptor` reference. * For information about statements of the form “Sampled every _x_ seconds” and “After sampling, data is not visible for up to _y_ seconds”, see [Additional information: metadata](about:/monitoring/api/metrics#metadata). * The resource-hierarchy level tells you if the metric is written at the project, organization, or folder level(s). When the level is not specified in the metric descriptor, the metric writes at the project level by default. * For pricing information, see [Cloud Monitoring pricing summary](about:/stackdriver/pricing#monitoring-pricing-summary). * For information about the meaning of launch stages such as `GA` (General Availability) and `BETA` (Preview), see [Product launch stages](about:/products#product-launch-stages). Google Cloud metrics -------------------- Metrics from [Google Cloud](https://cloud.google.com/docs). The following list was last generated at 2025-03-06 15:20:27 UTC. For more information about this process, see [About the lists](about:/monitoring/api/metrics#generated). ### actions Metrics from [Google Assistant Smart Home](https://developers.google.com/assistant/smarthome/overview). Launch stages of these metrics: ALPHA BETA The "metric type" strings in this table must be prefixed with `actions.googleapis.com/`. That prefix has been omitted from the entries in the table. When querying a label, use the `metric.labels.` prefix; for example, `metric.labels.LABEL="VALUE"`. * Metric type Launch stage (Resource hierarchy levels)Display name: Kind, Type, UnitMonitored resources * DescriptionLabels * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/first_frame_latencies BETA (project) First frame latency * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, milliseconds assistant_action_project * Latency for first frame to arrive. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/frame_display_rates BETA (project) Frame display rate * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, frames/seconds assistant_action_project * Rate at which camerastream frames are displayed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/frame_drop_rates BETA (project) Frame drop rate * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, frames/seconds assistant_action_project * Rate at which camerastream frames are dropped. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/frame_skip_rates BETA (project) Frame skip rate * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, frames/seconds assistant_action_project * Rate at which camerastream frames are skipped. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/request_count BETA (project) Camerastream request count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 assistant_action_project * Number of camerastream requests since the last sample period. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/request_latencies BETA (project) Camerastream request latency * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, ms assistant_action_project * Latency for camerastream to start. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/signaling_latencies BETA (project) Signaling latency * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, milliseconds assistant_action_project * Camerastream signaling latency. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/stream_durations BETA (project) Stream duration * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, milliseconds assistant_action_project * Duration of a camerastream. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/camerastream/webrtc_request_count BETA (project) Webrtc request count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 assistant_action_project * Number of camerastream requests since the last sample period. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, one of [CAMERA, DOORBELL] stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED". stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls". is_battery_powered: (BOOL) Whether the device is battery powered or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/device_count ALPHA (project) Device count * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 assistant_action_project * Counts the device_count based on device_type, software_version, hardware_version, integration_type and is_online. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, for example, "LIGHT", "LOCK" or "CAMERA". software_version: The software version of the device, for example, "1.00.062", "1.00.64", "1.00.68", "1.1.1". hardware_version: The hardware version of the device, for example, "1", "1.0", "1.0.0", "1.0.7". integration_type: Integration type, one of [local, cloud, matter]. is_online: (BOOL) Whether the device is online or not. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/execution_success_confidence BETA (project) Execution success confidence * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 1 assistant_action_project * Confidence metric (normalized) for current execution success rate compared with past performance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/local_event_count BETA (project) Local event count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 assistant_action_project * Count of events that only happens in LocalHomePlatform. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. intent: Intent used in SmartHome integration, for example, "EXECUTE", "QUERY", "SYNC". status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE". app_version: The version of the Local Home SDK app, for example, "0.0.1" or "0.1.2". model: Model is equivalent to product ID. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/matter_setup_event_count BETA (project) Matter setup event count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 assistant_action_project * Counts of Setup Events for Matter Launch. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. setup_status: The setup status has detailed information about state of setup (commisssioning complete, etc.) setup_state: The setup state is either Success or Failure. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/num_active_users BETA (project) Daily active users * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 assistant_action_project * Daily active users count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, for example, "LIGHT" or "LOCK". locale: locale, for example, "en-US" or "fr-CA". trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock". integration_type: Integration type, one of [local, cloud, matter]. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/report_state_accuracy BETA (project) Report state accuracy * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 10^2.% assistant_action_project * The accuracy of the states reported by the partner to HomeGraph compared to the states retrieved by sending a QUERY to the partner. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, for example, "LIGHT" or "LOCK". trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock". result: The canonical code that represents the result, for example, "ACCURATE", "ACCURATE_BUT_LATE", "INACCURATE". * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/request_count BETA (project) Request count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 assistant_action_project * Request count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, for example, "LIGHT" or "LOCK". status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE". trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock". integration_type: Integration type, one of [local, cloud, matter]. is_local: (BOOL) Whether the request routed locally or through cloud endpoint. execution_type: Execution type, one of [execute, query]. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/request_latencies BETA (project) Request latencies * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, ms assistant_action_project * Distribution of request latencies. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, for example, "LIGHT" or "LOCK". status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE". trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock". is_local: (BOOL) Whether the request routed locally or through cloud endpoint. execution_type: Execution type, one of [execute, query]. integration_type: Integration type, one of [local, cloud, matter]. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/seven_day_active_users BETA (project) 7 day active users * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 assistant_action_project * 7 day active users count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, for example, "LIGHT" or "LOCK". locale: locale, for example, "en-US" or "fr-CA". trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock". integration_type: Integration type, one of [local, cloud, matter]. * Metric type Launch stage (Resource hierarchy levels)Display name: smarthome_action/twenty_eight_day_active_users BETA (project) 28 day active users * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 assistant_action_project * 28 day active users count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. device_type: Device type, for example, "LIGHT" or "LOCK". locale: locale, for example, "en-US" or "fr-CA". trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock". integration_type: Integration type, one of [local, cloud, matter]. ### aiplatform Metrics from [Vertex AI](https://cloud.google.com/ai-platform-unified/docs). Launch stages of these metrics: ALPHA BETA The "metric type" strings in this table must be prefixed with `aiplatform.googleapis.com/`. That prefix has been omitted from the entries in the table. When querying a label, use the `metric.labels.` prefix; for example, `metric.labels.LABEL="VALUE"`. * Metric type Launch stage (Resource hierarchy levels)Display name: Kind, Type, UnitMonitored resources * DescriptionLabels * Metric type Launch stage (Resource hierarchy levels)Display name: executing_vertexai_pipeline_jobs BETA (project) Executing PipelineJobs * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/Location * Number of pipeline jobs being executed. * Metric type Launch stage (Resource hierarchy levels)Display name: executing_vertexai_pipeline_tasks BETA (project) Executing PipelineTasks * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/Location * Number of pipeline tasks being executed. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/online_serving/request_count BETA (project) Request count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 aiplatform.googleapis.com/FeatureOnlineStore * Number of requests received. method: Online serving method [FetchFeatureValues, SearchNearestEntities]. feature_view_id: The ID of FeatureView. error_code: Error code. storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized]. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/online_serving/serving_bytes_count BETA (project) Response bytes count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, By aiplatform.googleapis.com/FeatureOnlineStore * Serving response bytes count. method: Online serving method [FetchFeatureValues, SearchNearestEntities]. feature_view_id: The ID of FeatureView. storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized]. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/online_serving/serving_latencies BETA (project) Request latency * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, ms aiplatform.googleapis.com/FeatureOnlineStore * Server side request latency. method: Online serving method [FetchFeatureValues, SearchNearestEntities]. feature_view_id: The ID of FeatureView. storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized]. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/running_sync BETA (project) Running sycs * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/FeatureOnlineStore * Number of running syncs at given point of time. feature_view_id: FeatureView ID of running sync. storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized]. sync_type: Type of running sync [Full, On-demand]. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/serving_data_ages BETA (project) Serving data ages * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, s aiplatform.googleapis.com/FeatureOnlineStore * Measure of the serving data age in seconds. Current time minus synced time. feature_view_id: FeatureView being requested. method: Online serving method [FetchFeatureValues]. storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized]. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/serving_data_by_sync_time BETA (project) Serving data by synced time * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/FeatureOnlineStore * Breakdown of data in Feature Online Store by synced timestamp. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds. sync_time: Timestamp of sync time. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/storage/bigtable_cpu_load BETA (project) CPU load * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 10^2.% aiplatform.googleapis.com/FeatureOnlineStore * The average CPU load of nodes in the Feature Online Store. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. feature_view_id: FeatureView ID. operation_type: Operation to Cloud Bigtable, one of [read, write]. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/storage/bigtable_cpu_load_hottest_node BETA (project) CPU load (hottest node) * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 10^2.% aiplatform.googleapis.com/FeatureOnlineStore * The CPU load of the hottest node in the Feature Online Store. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. feature_view_id: FeatureView ID. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/storage/bigtable_nodes BETA (project) Node count * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/FeatureOnlineStore * The number of nodes for the Feature Online Store(Bigtable). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/storage/multi_region_bigtable_cpu_load BETA (project) CPU load (multi-regional) * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 10^2.% aiplatform.googleapis.com/FeatureOnlineStore * The average CPU load of nodes in the Feature Online Store with multi-regional replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. cluster_type: Type of the underlying Bigtable cluster, one of [primary, replica]. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/storage/multi_region_bigtable_nodes BETA (project) Node count (multi-regional) * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/FeatureOnlineStore * The number of nodes for the Feature Online Store(Bigtable) with multi-regional replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. cluster_type: Type of the underlying Bigtable cluster, one of [primary, replica]. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/storage/optimized_nodes BETA (project) Optimized node count * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/FeatureOnlineStore * The number of nodes for the Feature Online Store(Optimized). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. feature_view_id: FeatureView ID. * Metric type Launch stage (Resource hierarchy levels)Display name: featureonlinestore/storage/stored_bytes BETA (project) Bytes stored * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, By aiplatform.googleapis.com/FeatureOnlineStore * Bytes stored in the Feature Online Store. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/cpu_load BETA (project) CPU load * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 10^2.% aiplatform.googleapis.com/Featurestore * The average CPU load for a node in the Featurestore online storage. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/cpu_load_hottest_node BETA (project) CPU load (hottest node) * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 10^2.% aiplatform.googleapis.com/Featurestore * The CPU load for the hottest node in the Featurestore online storage. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/node_count BETA (project) Node count * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/Featurestore * The number of nodes for the Featurestore online storage. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/online_entities_updated BETA (project) Entities updated on the Featurestore online storage. * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, By aiplatform.googleapis.com/Featurestore * Number of entities updated on the Featurestore online storage. type: The type of update: 'WRITE', 'DELETE'. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/online_serving/latencies BETA (project) Latencies * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, ms aiplatform.googleapis.com/Featurestore * Online serving latencies by EntityType. entity_type_id: EntityType being requested. method: Online serving method, one of [ReadFeatureValues, StreamingReadFeatureValues]. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/online_serving/request_bytes_count BETA (project) Request size * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, By aiplatform.googleapis.com/Featurestore * Request size by EntityType. entity_type_id: EntityType being requested. method: Streaming write method, one of [ReadFeatureValues, StreamingReadFeatureValues, WriteFeatureValues]. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/online_serving/request_count BETA (project) Serving count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 aiplatform.googleapis.com/Featurestore * Featurestore online serving count by EntityType. entity_type_id: EntityType being requested. method: Online serving method, one of [ReadFeatureValues, StreamingReadFeatureValues]. error_code: Error code. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/online_serving/response_size BETA (project) Response size * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, By aiplatform.googleapis.com/Featurestore * Response size by EntityType. entity_type_id: EntityType being requested. method: Online serving method, one of [ReadFeatureValues, StreamingReadFeatureValues]. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/storage/billable_processed_bytes BETA (project) Billable bytes * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, By aiplatform.googleapis.com/Featurestore * Number of bytes billed for offline data processed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. method: Batch read method, one of [BatchReadFeatureValues, ExportFeatureValues]. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/storage/stored_bytes BETA (project) Bytes stored * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, By aiplatform.googleapis.com/Featurestore * Bytes stored in Featurestore. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. storage_type: Storage type of Feature Store, one of [ONLINE, BATCH]. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/streaming_write/offline_processed_count BETA (project) Offline storage write for streaming write * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 aiplatform.googleapis.com/Featurestore * Number of streaming write requests processed for offline storage. entity_type_id: EntityType being requested. method: Streaming write method, one of [WriteFeatureValues]. error_code: Error code. * Metric type Launch stage (Resource hierarchy levels)Display name: featurestore/streaming_write/offline_write_delays BETA (project) Streaming write to offline storage delay time * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, s aiplatform.googleapis.com/Featurestore * Time (in second) since the write API is called until it is written to offline storage. entity_type_id: EntityType being requested. method: Streaming write method, one of [WriteFeatureValues]. * Metric type Launch stage (Resource hierarchy levels)Display name: generate_content_input_tokens_per_minute_per_base_model BETA (project) Generate content input tokens per minute per base model * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 aiplatform.googleapis.com/Location * Generate content input tokens per minute per project per base model. base_model: The base model custom dimension. * Metric type Launch stage (Resource hierarchy levels)Display name: generate_content_requests_per_minute_per_project_per_base_model ALPHA (project) Generate content requests per minute per project per base model * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 aiplatform.googleapis.com/Location * Generate content requests per minute per project per base model. base_model: The base model custom dimension. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/cpu/request_utilization ALPHA (project) CPU request utilization * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 10^2.% aiplatform.googleapis.com/IndexEndpoint * The fraction of the requested CPU that is currently in use on a match server container. deployed_index_id: The ID of the target DeployedIndex. node_id: The ID of the target node: _. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/current_replicas BETA (project) Current replicas * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/IndexEndpoint * Number of active replicas used by the DeployedIndex. deployed_index_id: The ID of the target DeployedIndex. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/current_shards BETA (project) Current shards * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, 1 aiplatform.googleapis.com/IndexEndpoint * Number of shards of the DeployedIndex. deployed_index_id: The ID of the target DeployedIndex. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/memory/used_bytes ALPHA (project) Memory usage * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, INT64, By aiplatform.googleapis.com/IndexEndpoint * The memory used in bytes for a match server container. deployed_index_id: The ID of the target DeployedIndex. node_id: The ID of the target node: _. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/query/latencies BETA (project) Request latency * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, ms aiplatform.googleapis.com/IndexEndpoint * Server side request latency. deployed_index_id: The ID of the target DeployedIndex. method: Query method. response_code: Response code for the query. index_type: The type of the match server's index, 'sparse' or 'dense'. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/query/request_count BETA (project) Request count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 aiplatform.googleapis.com/IndexEndpoint * Number of requests received. deployed_index_id: The ID of the target DeployedIndex. method: Query method. response_code: Response code for the query. is_private_endpoint: True for private endpoint, set to false for public endpoint. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/stream_update/datapoint_count BETA (project) Datapoint count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 aiplatform.googleapis.com/Index * Number of successfully upserted or removed datapoints. index_endpoint_id: The ID of the target index endpoint. deployed_index_id: The ID of the target DeployedIndex. node_id: The ID of the target node: _. request_type: Request type for stream update (upsert or remove). index_type: The type of target Index. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/stream_update/latencies BETA (project) Stream update latencies * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, DISTRIBUTION, ms aiplatform.googleapis.com/Index * The latencies between the user receives a UpsertDatapointsResponse or RemoveDatapointsResponse and that update takes effect. index_endpoint_id: The ID of the target index endpoint. deployed_index_id: The ID of the target DeployedIndex. node_id: The ID of the target node: _. request_type: Request type for stream update (upsert or remove). index_type: The type of target Index. * Metric type Launch stage (Resource hierarchy levels)Display name: matching_engine/stream_update/request_count BETA (project) Request count * Metric type Launch stage (Resource hierarchy levels)Display name: DELTA, INT64, 1 aiplatform.googleapis.com/Index * Number of stream update requests. index_endpoint_id: The ID of the target index endpoint. deployed_index_id: The ID of the target DeployedIndex. node_id: The ID of the target node: _. request_type: Request type for stream update (upsert or remove). response_code: Response code. index_type: The type of target Index. * Metric type Launch stage (Resource hierarchy levels)Display name: model_monitoring/feature_attribution_deviation BETA (project) Feature attribution deviation * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 1 aiplatform.googleapis.com/Model * The feature attribution deviation value of the given feature. schedule_id: The identifier of the Vertex schedule. For scheduled continuous monitoring only. feature_name: The feature name in user's dataset. algorithm: The metric calculate method. * Metric type Launch stage (Resource hierarchy levels)Display name: model_monitoring/feature_drift_deviation BETA (project) Feature drift deviation * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 1 aiplatform.googleapis.com/Model * The drift deviation value of the given feature. schedule_id: The identifier of the Vertex schedule. For scheduled continuous monitoring only. feature_name: The feature name in user's dataset. algorithm: The metric calculate method. * Metric type Launch stage (Resource hierarchy levels)Display name: model_monitoring/prediction_output_drift_deviation BETA (project) Prediction output drift deviation * Metric type Launch stage (Resource hierarchy levels)Display name: GAUGE, DOUBLE, 1 aiplatform.googleapis.com/Model * The drift deviation value of the prediction output. schedule_id: The identifier of the Vertex schedule. For scheduled continuous monitoring only. feature_name: The feature name in user's dataset. algorithm: The metric calculate method. * Metric type Launch stage (Resource hierarchy levels)Display n