docs/reference/metricbeat/exported-fields-gcp.md
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GCP module
gcp.labels
: GCP monitoring metrics labels
type: object
gcp.metrics.*.*.*.*
: Metrics that returned from Google Cloud API query.
type: object
Google Cloud Billing metrics
gcp.billing.cost_type
: Cost types include regular, tax, adjustment, and rounding_error.
type: keyword
gcp.billing.invoice_month
: Billing report month.
type: keyword
gcp.billing.project_id
: Project ID of the billing report belongs to.
type: keyword
gcp.billing.total
: Total billing amount.
type: float
gcp.billing.sku_id
: The ID of the resource used by the service.
type: keyword
gcp.billing.sku_description
: A description of the resource type used by the service. For example, a resource type for Cloud Storage is Standard Storage US.
type: keyword
gcp.billing.service_id
: The ID of the service that the usage is associated with.
type: keyword
gcp.billing.service_description
: The Google Cloud service that reported the Cloud Billing data.
type: keyword
gcp.billing.tags
: A collection of key-value pairs that provide additional metadata.
type: nested
gcp.billing.effective_price
: The charged price for usage of the Google Cloud SKUs and SKU tiers. Reflects contract pricing if applicable, otherwise, it's the list price.
type: float
gcp.billing.usage_start_time {applies_to}stack: beta 9.2.1
: The start time of the usage period for this billing record.
type: date
gcp.billing.usage_end_time {applies_to}stack: beta 9.2.1
: The end time of the usage period for this billing record.
type: date
gcp.billing.location.region {applies_to}stack: beta 9.2.1
: The geographic region where the resource was used (e.g., us-central1, europe-west1).
type: keyword
gcp.billing.location.zone {applies_to}stack: beta 9.2.1
: The specific zone within the region (e.g., us-central1-a).
type: keyword
gcp.billing.location.country {applies_to}stack: beta 9.2.1
: The country code for the resource location (e.g., US, GB).
type: keyword
gcp.billing.labels {applies_to}stack: beta 9.2.1
: Resource labels as key-value pairs. Labels are user-defined metadata that can be attached to GCP resources.
type: object
stack: beta
Google Cloud Carbon Footprint metrics
gcp.carbon.project_id
: Project ID the carbon footprint report belongs to.
type: keyword
gcp.carbon.project_name
: Project name the carbon footprint report belongs to.
type: keyword
gcp.carbon.service_id
: Service ID for the carbon footprint usage.
type: keyword
gcp.carbon.service_description
: Service description for the carbon footprint usage.
type: keyword
gcp.carbon.region
: Region for the carbon fooprint usage.
type: keyword
gcp.carbon.footprint.scope1
: Scope 1 carbon footprint.
type: float
gcp.carbon.footprint.scope2.location
: Scope 2 carbon footprint using location-based methodology.
type: float
gcp.carbon.footprint.scope2.market
: Scope 2 carbon footprint using market-based methodology.
type: float
gcp.carbon.footprint.scope3
: Scope 3 carbon footprint.
type: float
gcp.carbon.footprint.offsets
: Total carbon offsets.
type: float
Google Cloud Compute metrics
gcp.compute.firewall.dropped.bytes
: Incoming bytes dropped by the firewall
type: long
gcp.compute.firewall.dropped_packets_count.value
: Incoming packets dropped by the firewall
type: long
gcp.compute.instance.cpu.reserved_cores.value
: Number of cores reserved on the host of the instance
type: double
gcp.compute.instance.cpu.usage_time.sec
: Usage for all cores in seconds
type: double
gcp.compute.instance.cpu.usage.pct
: The fraction of the allocated CPU that is currently in use on the instance
type: double
gcp.compute.instance.disk.read.bytes
: Count of bytes read from disk
type: long
gcp.compute.instance.disk.read_ops_count.value
: Count of disk read IO operations
type: long
gcp.compute.instance.disk.write.bytes
: Count of bytes written to disk
type: long
gcp.compute.instance.disk.write_ops_count.value
: Count of disk write IO operations
type: long
gcp.compute.instance.memory.balloon.ram_size.value
: The total amount of memory in the VM. This metric is only available for VMs that belong to the e2 family.
type: long
gcp.compute.instance.memory.balloon.ram_used.value
: Memory currently used in the VM. This metric is only available for VMs that belong to the e2 family.
type: long
gcp.compute.instance.memory.balloon.swap_in.bytes
: The amount of memory read into the guest from its own swap space. This metric is only available for VMs that belong to the e2 family.
type: long
gcp.compute.instance.memory.balloon.swap_out.bytes
: The amount of memory written from the guest to its own swap space. This metric is only available for VMs that belong to the e2 family.
type: long
gcp.compute.instance.network.ingress.bytes
: Count of bytes received from the network
type: long
gcp.compute.instance.network.ingress.packets.count
: Count of packets received from the network
type: long
gcp.compute.instance.network.egress.bytes
: Count of bytes sent over the network
type: long
gcp.compute.instance.network.egress.packets.count
: Count of packets sent over the network
type: long
gcp.compute.instance.uptime.sec
: Number of seconds the VM has been running.
type: long
gcp.compute.instance.uptime_total.sec
: Elapsed time since the VM was started, in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: long
Google Cloud Dataproc metrics
gcp.dataproc.cluster.hdfs.datanodes.count
: Indicates the number of HDFS DataNodes that are running inside a cluster.
type: long
gcp.dataproc.cluster.hdfs.storage_capacity.value
: Indicates capacity of HDFS system running on cluster in GB.
type: double
gcp.dataproc.cluster.hdfs.storage_utilization.value
: The percentage of HDFS storage currently used.
type: double
gcp.dataproc.cluster.hdfs.unhealthy_blocks.count
: Indicates the number of unhealthy blocks inside the cluster.
type: long
gcp.dataproc.cluster.job.failed.count
: Indicates the number of jobs that have failed on a cluster.
type: long
gcp.dataproc.cluster.job.running.count
: Indicates the number of jobs that are running on a cluster.
type: long
gcp.dataproc.cluster.job.submitted.count
: Indicates the number of jobs that have been submitted to a cluster.
type: long
gcp.dataproc.cluster.operation.failed.count
: Indicates the number of operations that have failed on a cluster.
type: long
gcp.dataproc.cluster.operation.running.count
: Indicates the number of operations that are running on a cluster.
type: long
gcp.dataproc.cluster.operation.submitted.count
: Indicates the number of operations that have been submitted to a cluster.
type: long
gcp.dataproc.cluster.yarn.allocated_memory_percentage.value
: The percentage of YARN memory is allocated.
type: double
gcp.dataproc.cluster.yarn.apps.count
: Indicates the number of active YARN applications.
type: long
gcp.dataproc.cluster.yarn.containers.count
: Indicates the number of YARN containers.
type: long
gcp.dataproc.cluster.yarn.memory_size.value
: Indicates the YARN memory size in GB.
type: double
gcp.dataproc.cluster.yarn.nodemanagers.count
: Indicates the number of YARN NodeManagers running inside cluster.
type: long
gcp.dataproc.cluster.yarn.pending_memory_size.value
: The current memory request, in GB, that is pending to be fulfilled by the scheduler.
type: double
gcp.dataproc.cluster.yarn.virtual_cores.count
: Indicates the number of virtual cores in YARN.
type: long
gcp.dataproc.cluster.job.completion_time.value
: The time jobs took to complete from the time the user submits a job to the time Dataproc reports it is completed.
type: object
gcp.dataproc.cluster.job.duration.value
: The time jobs have spent in a given state.
type: object
gcp.dataproc.cluster.operation.completion_time.value
: The time operations took to complete from the time the user submits a operation to the time Dataproc reports it is completed.
type: object
gcp.dataproc.cluster.operation.duration.value
: The time operations have spent in a given state.
type: object
Google Cloud Firestore metrics
gcp.firestore.document.delete.count
: The number of successful document deletes.
type: long
gcp.firestore.document.read.count
: The number of successful document reads from queries or lookups.
type: long
gcp.firestore.document.write.count
: The number of successful document writes.
type: long
gke contains the metrics that we scraped from GCP Stackdriver API containing monitoring metrics for GCP GKE
gcp.gke.container.cpu.core_usage_time.sec
: Cumulative CPU usage on all cores used by the container in seconds. Sampled every 60 seconds.
type: double
gcp.gke.container.cpu.limit_cores.value
: CPU cores limit of the container. Sampled every 60 seconds.
type: double
gcp.gke.container.cpu.limit_utilization.pct
: The fraction of the CPU limit that is currently in use on the instance. This value cannot exceed 1 as usage cannot exceed the limit. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
type: double
gcp.gke.container.cpu.request_cores.value
: Number of CPU cores requested by the container. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: double
gcp.gke.container.cpu.request_utilization.pct
: The fraction of the requested CPU that is currently in use on the instance. This value can be greater than 1 as usage can exceed the request. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
type: double
gcp.gke.container.ephemeral_storage.limit.bytes
: Local ephemeral storage limit in bytes. Sampled every 60 seconds.
type: long
gcp.gke.container.ephemeral_storage.request.bytes
: Local ephemeral storage request in bytes. Sampled every 60 seconds.
type: long
gcp.gke.container.ephemeral_storage.used.bytes
: Local ephemeral storage usage in bytes. Sampled every 60 seconds.
type: long
gcp.gke.container.memory.limit.bytes
: Memory limit of the container in bytes. Sampled every 60 seconds.
type: long
gcp.gke.container.memory.limit_utilization.pct
: The fraction of the memory limit that is currently in use on the instance. This value cannot exceed 1 as usage cannot exceed the limit. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: double
gcp.gke.container.memory.page_fault.count
: Number of page faults, broken down by type, major and minor.
type: long
gcp.gke.container.memory.request.bytes
: Memory request of the container in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: long
gcp.gke.container.memory.request_utilization.pct
: The fraction of the requested memory that is currently in use on the instance. This value can be greater than 1 as usage can exceed the request. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
type: double
gcp.gke.container.memory.used.bytes
: Memory usage in bytes. Sampled every 60 seconds.
type: long
gcp.gke.container.restart.count
: Number of times the container has restarted. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: long
gcp.gke.container.uptime.sec
: Time in seconds that the container has been running. Sampled every 60 seconds.
type: double
gcp.gke.node.cpu.allocatable_cores.value
: Number of allocatable CPU cores on the node. Sampled every 60 seconds.
type: double
gcp.gke.node.cpu.allocatable_utilization.pct
: The fraction of the allocatable CPU that is currently in use on the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
type: double
gcp.gke.node.cpu.core_usage_time.sec
: Cumulative CPU usage on all cores used on the node in seconds. Sampled every 60 seconds.
type: double
gcp.gke.node.cpu.total_cores.value
: Total number of CPU cores on the node. Sampled every 60 seconds.
type: double
gcp.gke.node.ephemeral_storage.allocatable.bytes
: Local ephemeral storage bytes allocatable on the node. Sampled every 60 seconds.
type: long
gcp.gke.node.ephemeral_storage.inodes_free.value
: Free number of inodes on local ephemeral storage. Sampled every 60 seconds.
type: long
gcp.gke.node.ephemeral_storage.inodes_total.value
: Total number of inodes on local ephemeral storage. Sampled every 60 seconds.
type: long
gcp.gke.node.ephemeral_storage.total.bytes
: Total ephemeral storage bytes on the node. Sampled every 60 seconds.
type: long
gcp.gke.node.ephemeral_storage.used.bytes
: Local ephemeral storage bytes used by the node. Sampled every 60 seconds.
type: long
gcp.gke.node.memory.allocatable.bytes
: Cumulative memory bytes used by the node. Sampled every 60 seconds.
type: long
gcp.gke.node.memory.allocatable_utilization.pct
: The fraction of the allocatable memory that is currently in use on the instance. This value cannot exceed 1 as usage cannot exceed allocatable memory bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: double
gcp.gke.node.memory.total.bytes
: Number of bytes of memory allocatable on the node. Sampled every 60 seconds.
type: long
gcp.gke.node.memory.used.bytes
: Cumulative memory bytes used by the node. Sampled every 60 seconds.
type: long
gcp.gke.node.network.received_bytes.count
: Cumulative number of bytes received by the node over the network. Sampled every 60 seconds.
type: long
gcp.gke.node.network.sent_bytes.count
: Cumulative number of bytes transmitted by the node over the network. Sampled every 60 seconds.
type: long
gcp.gke.node.pid_limit.value
: The max PID of OS on the node. Sampled every 60 seconds.
type: long
gcp.gke.node.pid_used.value
: The number of running process in the OS on the node. Sampled every 60 seconds.
type: long
gcp.gke.node_daemon.cpu.core_usage_time.sec
: Cumulative CPU usage on all cores used by the node level system daemon in seconds. Sampled every 60 seconds.
type: double
gcp.gke.node_daemon.memory.used.bytes
: Memory usage by the system daemon in bytes. Sampled every 60 seconds.
type: long
gcp.gke.pod.network.received.bytes
: Cumulative number of bytes received by the pod over the network. Sampled every 60 seconds.
type: long
gcp.gke.pod.network.sent.bytes
: Cumulative number of bytes transmitted by the pod over the network. Sampled every 60 seconds.
type: long
gcp.gke.pod.volume.total.bytes
: Total number of disk bytes available to the pod. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: long
gcp.gke.pod.volume.used.bytes
: Number of disk bytes used by the pod. Sampled every 60 seconds.
type: long
gcp.gke.pod.volume.utilization.pct
: The fraction of the volume that is currently being used by the instance. This value cannot be greater than 1 as usage cannot exceed the total available volume space. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: double
Google Cloud Load Balancing metrics
gcp.loadbalancing.https.backend_request.bytes
: The number of bytes sent as requests from HTTP/S load balancer to backends.
type: long
gcp.loadbalancing.https.backend_request.count
: The number of requests served by backends of HTTP/S load balancer.
type: long
gcp.loadbalancing.https.backend_response.bytes
: The number of bytes sent as responses from backends (or cache) to external HTTP(S) load balancer.
type: long
gcp.loadbalancing.https.request.bytes
: The number of bytes sent as requests from clients to HTTP/S load balancer.
type: long
gcp.loadbalancing.https.request.count
: The number of requests served by HTTP/S load balancer.
type: long
gcp.loadbalancing.https.response.bytes
: The number of bytes sent as responses from HTTP/S load balancer to clients.
type: long
gcp.loadbalancing.l3.external.egress.bytes
: The number of bytes sent from external TCP/UDP network load balancer backend to client of the flow. For TCP flows it's counting bytes on application stream only.
type: long
gcp.loadbalancing.l3.external.egress_packets.count
: The number of packets sent from external TCP/UDP network load balancer backend to client of the flow.
type: long
gcp.loadbalancing.l3.external.ingress.bytes
: The number of bytes sent from client to external TCP/UDP network load balancer backend. For TCP flows it's counting bytes on application stream only.
type: long
gcp.loadbalancing.l3.external.ingress_packets.count
: The number of packets sent from client to external TCP/UDP network load balancer backend.
type: long
gcp.loadbalancing.l3.internal.egress.bytes
: The number of bytes sent from ILB backend to client (for TCP flows it's counting bytes on application stream only).
type: long
gcp.loadbalancing.l3.internal.egress_packets.count
: The number of packets sent from ILB backend to client of the flow.
type: long
gcp.loadbalancing.l3.internal.ingress.bytes
: The number of bytes sent from client to ILB backend (for TCP flows it's counting bytes on application stream only).
type: long
gcp.loadbalancing.l3.internal.ingress_packets.count
: The number of packets sent from client to ILB backend.
type: long
gcp.loadbalancing.tcp_ssl_proxy.closed_connections.value
: Number of connections that were terminated over TCP/SSL proxy.
type: long
gcp.loadbalancing.tcp_ssl_proxy.egress.bytes
: Number of bytes sent from VM to client using proxy.
type: long
gcp.loadbalancing.tcp_ssl_proxy.ingress.bytes
: Number of bytes sent from client to VM using proxy.
type: long
gcp.loadbalancing.tcp_ssl_proxy.new_connections.value
: Number of connections that were created over TCP/SSL proxy.
type: long
gcp.loadbalancing.tcp_ssl_proxy.open_connections.value
: Current number of outstanding connections through the TCP/SSL proxy.
type: long
gcp.loadbalancing.https.backend_latencies.value
: A distribution of the latency calculated from when the request was sent by the proxy to the backend until the proxy received from the backend the last byte of response.
type: object
gcp.loadbalancing.https.external.regional.backend_latencies.value
: A distribution of the latency calculated from when the request was sent by the proxy to the backend until the proxy received from the backend the last byte of response.
type: object
gcp.loadbalancing.https.external.regional.total_latencies.value
: A distribution of the latency calculated from when the request was received by the proxy until the proxy got ACK from client on last response byte.
type: object
gcp.loadbalancing.https.frontend_tcp_rtt.value
: A distribution of the RTT measured for each connection between client and proxy.
type: object
gcp.loadbalancing.https.internal.backend_latencies.value
: A distribution of the latency calculated from when the request was sent by the internal HTTP/S load balancer proxy to the backend until the proxy received from the backend the last byte of response.
type: object
gcp.loadbalancing.https.internal.total_latencies.value
: A distribution of the latency calculated from when the request was received by the internal HTTP/S load balancer proxy until the proxy got ACK from client on last response byte.
type: object
gcp.loadbalancing.https.total_latencies.value
: A distribution of the latency calculated from when the request was received by the external HTTP/S load balancer proxy until the proxy got ACK from client on last response byte.
type: object
gcp.loadbalancing.l3.external.rtt_latencies.value
: A distribution of the round trip time latency, measured over TCP connections for the external network load balancer.
type: object
gcp.loadbalancing.l3.internal.rtt_latencies.value
: A distribution of RTT measured over TCP connections for internal TCP/UDP load balancer flows.
type: object
gcp.loadbalancing.tcp_ssl_proxy.frontend_tcp_rtt.value
: A distribution of the smoothed RTT (in ms) measured by the proxy's TCP stack, each minute application layer bytes pass from proxy to client.
type: object
Google Cloud PubSub metrics
gcp.pubsub.snapshot.backlog.bytes
: Total byte size of the messages retained in a snapshot.
type: long
gcp.pubsub.snapshot.backlog_bytes_by_region.bytes
: Total byte size of the messages retained in a snapshot, broken down by Cloud region.
type: long
gcp.pubsub.snapshot.config_updates.count
: Cumulative count of configuration changes, grouped by operation type and result.
type: long
gcp.pubsub.snapshot.num_messages.value
: Number of messages retained in a snapshot.
type: long
gcp.pubsub.snapshot.num_messages_by_region.value
: Number of messages retained in a snapshot, broken down by Cloud region.
type: long
gcp.pubsub.snapshot.oldest_message_age.sec
: Age (in seconds) of the oldest message retained in a snapshot.
type: long
gcp.pubsub.snapshot.oldest_message_age_by_region.sec
: Age (in seconds) of the oldest message retained in a snapshot, broken down by Cloud region.
type: long
gcp.pubsub.subscription.ack_message.count
: Cumulative count of messages acknowledged by Acknowledge requests, grouped by delivery type.
type: long
gcp.pubsub.subscription.backlog.bytes
: Total byte size of the unacknowledged messages (a.k.a. backlog messages) in a subscription.
type: long
gcp.pubsub.subscription.byte_cost.bytes
: Cumulative cost of operations, measured in bytes. This is used to measure quota utilization.
type: long
gcp.pubsub.subscription.config_updates.count
: Cumulative count of configuration changes for each subscription, grouped by operation type and result.
type: long
gcp.pubsub.subscription.dead_letter_message.count
: Cumulative count of messages published to dead letter topic, grouped by result.
type: long
gcp.pubsub.subscription.mod_ack_deadline_message.count
: Cumulative count of messages whose deadline was updated by ModifyAckDeadline requests, grouped by delivery type.
type: long
gcp.pubsub.subscription.mod_ack_deadline_message_operation.count
: Cumulative count of ModifyAckDeadline message operations, grouped by result.
type: long
gcp.pubsub.subscription.mod_ack_deadline_request.count
: Cumulative count of ModifyAckDeadline requests, grouped by result.
type: long
gcp.pubsub.subscription.num_outstanding_messages.value
: Number of messages delivered to a subscription's push endpoint, but not yet acknowledged.
type: long
gcp.pubsub.subscription.num_undelivered_messages.value
: Number of unacknowledged messages (a.k.a. backlog messages) in a subscription.
type: long
gcp.pubsub.subscription.oldest_retained_acked_message_age.sec
: Age (in seconds) of the oldest acknowledged message retained in a subscription.
type: long
gcp.pubsub.subscription.oldest_retained_acked_message_age_by_region.value
: Age (in seconds) of the oldest acknowledged message retained in a subscription, broken down by Cloud region.
type: long
gcp.pubsub.subscription.oldest_unacked_message_age.sec
: Age (in seconds) of the oldest unacknowledged message (a.k.a. backlog message) in a subscription.
type: long
gcp.pubsub.subscription.oldest_unacked_message_age_by_region.value
: Age (in seconds) of the oldest unacknowledged message in a subscription, broken down by Cloud region.
type: long
gcp.pubsub.subscription.pull_ack_message_operation.count
: Cumulative count of acknowledge message operations, grouped by result. For a definition of message operations, see Cloud Pub/Sub metric subscription/mod_ack_deadline_message_operation_count.
type: long
gcp.pubsub.subscription.pull_ack_request.count
: Cumulative count of acknowledge requests, grouped by result.
type: long
gcp.pubsub.subscription.pull_message_operation.count
: Cumulative count of pull message operations, grouped by result. For a definition of message operations, see Cloud Pub/Sub metric subscription/mod_ack_deadline_message_operation_count.
type: long
gcp.pubsub.subscription.pull_request.count
: Cumulative count of pull requests, grouped by result.
type: long
gcp.pubsub.subscription.push_request.count
: Cumulative count of push attempts, grouped by result. Unlike pulls, the push server implementation does not batch user messages. So each request only contains one user message. The push server retries on errors, so a given user message can appear multiple times.
type: long
gcp.pubsub.subscription.retained_acked.bytes
: Total byte size of the acknowledged messages retained in a subscription.
type: long
gcp.pubsub.subscription.retained_acked_bytes_by_region.bytes
: Total byte size of the acknowledged messages retained in a subscription, broken down by Cloud region.
type: long
gcp.pubsub.subscription.seek_request.count
: Cumulative count of seek attempts, grouped by result.
type: long
gcp.pubsub.subscription.sent_message.count
: Cumulative count of messages sent by Cloud Pub/Sub to subscriber clients, grouped by delivery type.
type: long
gcp.pubsub.subscription.streaming_pull_ack_message_operation.count
: Cumulative count of StreamingPull acknowledge message operations, grouped by result. For a definition of message operations, see Cloud Pub/Sub metric subscription/mod_ack_deadline_message_operation_count.
type: long
gcp.pubsub.subscription.streaming_pull_ack_request.count
: Cumulative count of streaming pull requests with non-empty acknowledge ids, grouped by result.
type: long
gcp.pubsub.subscription.streaming_pull_message_operation.count
: Cumulative count of streaming pull message operations, grouped by result. For a definition of message operations, see Cloud Pub/Sub metric <code>subscription/mod_ack_deadline_message_operation_count
type: long
gcp.pubsub.subscription.streaming_pull_mod_ack_deadline_message_operation.count
: Cumulative count of StreamingPull ModifyAckDeadline operations, grouped by result.
type: long
gcp.pubsub.subscription.streaming_pull_mod_ack_deadline_request.count
: Cumulative count of streaming pull requests with non-empty ModifyAckDeadline fields, grouped by result.
type: long
gcp.pubsub.subscription.streaming_pull_response.count
: Cumulative count of streaming pull responses, grouped by result.
type: long
gcp.pubsub.subscription.unacked_bytes_by_region.bytes
: Total byte size of the unacknowledged messages in a subscription, broken down by Cloud region.
type: long
gcp.pubsub.topic.byte_cost.bytes
: Cost of operations, measured in bytes. This is used to measure utilization for quotas.
type: long
gcp.pubsub.topic.config_updates.count
: Cumulative count of configuration changes, grouped by operation type and result.
type: long
gcp.pubsub.topic.message_sizes.bytes
: Distribution of publish message sizes (in bytes)
type: object
gcp.pubsub.topic.oldest_retained_acked_message_age_by_region.value
: Age (in seconds) of the oldest acknowledged message retained in a topic, broken down by Cloud region.
type: long
gcp.pubsub.topic.oldest_unacked_message_age_by_region.value
: Age (in seconds) of the oldest unacknowledged message in a topic, broken down by Cloud region.
type: long
gcp.pubsub.topic.retained_acked_bytes_by_region.bytes
: Total byte size of the acknowledged messages retained in a topic, broken down by Cloud region.
type: long
gcp.pubsub.topic.send_message_operation.count
: Cumulative count of publish message operations, grouped by result. For a definition of message operations, see Cloud Pub/Sub metric subscription/mod_ack_deadline_message_operation_count.
type: long
gcp.pubsub.topic.send_request.count
: Cumulative count of publish requests, grouped by result.
type: long
gcp.pubsub.topic.streaming_pull_response.count
: Cumulative count of streaming pull responses, grouped by result.
type: long
gcp.pubsub.topic.unacked_bytes_by_region.bytes
: Total byte size of the unacknowledged messages in a topic, broken down by Cloud region.
type: long
gcp.pubsub.subscription.ack_latencies.value
: Distribution of ack latencies in milliseconds. The ack latency is the time between when Cloud Pub/Sub sends a message to a subscriber client and when Cloud Pub/Sub receives an Acknowledge request for that message.
type: object
gcp.pubsub.subscription.push_request_latencies.value
: Distribution of push request latencies (in microseconds), grouped by result.
type: object
Google Cloud Storage metrics
gcp.storage.api.request.count
: Delta count of API calls, grouped by the API method name and response code.
type: long
gcp.storage.authz.acl_based_object_access.count
: Delta count of requests that result in an object being granted access solely due to object ACLs.
type: long
gcp.storage.authz.acl_operations.count
: Usage of ACL operations broken down by type.
type: long
gcp.storage.authz.object_specific_acl_mutation.count
: Delta count of changes made to object specific ACLs.
type: long
gcp.storage.network.received.bytes
: Delta count of bytes received over the network, grouped by the API method name and response code.
type: long
gcp.storage.network.sent.bytes
: Delta count of bytes sent over the network, grouped by the API method name and response code.
type: long
gcp.storage.storage.object.count
: Total number of objects per bucket, grouped by storage class. This value is measured once per day, and the value is repeated at each sampling interval throughout the day.
type: long
gcp.storage.storage.total_byte_seconds.bytes
: Delta count of bytes received over the network, grouped by the API method name and response code.
type: long
gcp.storage.storage.total.bytes
: Total size of all objects in the bucket, grouped by storage class. This value is measured once per day, and the value is repeated at each sampling interval throughout the day.
type: long
stack: beta 9.2.0
Google Cloud Vertex AI Prompt Response Logs metrics
gcp.vertexai_logs.endpoint
: The Vertex AI API endpoint URL used for the request.
type: keyword
gcp.vertexai_logs.deployed_model_id
: The ID of the deployed model that processed the request.
type: keyword
gcp.vertexai_logs.logging_time
: Timestamp when the AI interaction was logged.
type: date
gcp.vertexai_logs.request_id
: Unique identifier for the AI request.
type: double
gcp.vertexai_logs.request_payload
: Array of request payload strings containing user prompts and inputs.
type: text
Field is not indexed.
gcp.vertexai_logs.response_payload
: Array of response payload strings containing AI model outputs.
type: text
Field is not indexed.
gcp.vertexai_logs.model
: Name of the AI model used (e.g., gemini-2.5-pro).
type: keyword
gcp.vertexai_logs.model_version
: Version of the AI model used.
type: keyword
gcp.vertexai_logs.api_method
: The API method called (e.g., generateContent, predict).
type: keyword
gcp.vertexai_logs.full_request
: Complete request object containing all request details in JSON format.
type: object
gcp.vertexai_logs.full_response
: Complete response object containing all response details in JSON format.
type: object
gcp.vertexai_logs.metadata
: Additional metadata associated with the AI interaction in JSON format.
type: object