gcp.gce.firewall.dropped_bytes_count
(count) | Count of incoming bytes dropped by the firewall.
Shown as byte |
gcp.gce.firewall.dropped_packets_count
(count) | Count of incoming packets dropped by the firewall. |
gcp.gce.guest.cpu.runnable_task_count
(gauge) | The average number of runnable tasks in the run-queue. For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.cpu.usage_time
(count) | CPU usage, in seconds. For Container-Optimized OS, or Ubuntu running GKE.
Shown as second |
gcp.gce.guest.disk.bytes_used
(gauge) | Number of bytes used on disk for file systems. For Container-Optimized OS, or Ubuntu running GKE.
Shown as byte |
gcp.gce.guest.disk.io_time
(gauge) | The cumulative IO time spent on the disk.
Shown as millisecond |
gcp.gce.guest.disk.merged_operation_count
(count) | Merged disk operations count. Disk operations which are adjacent to each other may be merged by the kernel for efficiency. For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.disk.operation_bytes_count
(count) | Bytes transferred in disk operations. For Container-Optimized OS, or Ubuntu running GKE.
Shown as byte |
gcp.gce.guest.disk.operation_count
(count) | Disk operations count. For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.disk.operation_time
(gauge) | Time spent in disk operations.
Shown as millisecond |
gcp.gce.guest.disk.queue_length
(gauge) | The queue length on the disk averaged over the last 60 seconds. For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.disk.weighted_io_time
(count) | The cumulative weighted IO time spent on the disk. For Container-Optimized OS, or Ubuntu running GKE.
Shown as millisecond |
gcp.gce.guest.memory.anonymous_used
(gauge) | Anonymous memory usage, in Bytes. Summing values of all states yields the total anonymous memory used. For Container-Optimized OS, or Ubuntu running GKE.
Shown as byte |
gcp.gce.guest.memory.bytes_used
(gauge) | Memory usage by each memory state, in Bytes. Summing values of all states yields the total memory on the machine. For Container-Optimized OS, or Ubuntu running GKE.
Shown as byte |
gcp.gce.guest.memory.dirty_used
(gauge) | Dirty pages usage, in Bytes. For Container-Optimized OS, or Ubuntu running GKE.
Shown as byte |
gcp.gce.guest.memory.page_cache_used
(gauge) | Page cache memory usage, in Bytes. Summing values of all states yields the total anonymous memory used. For Container-Optimized OS, or Ubuntu running GKE.
Shown as byte |
gcp.gce.guest.memory.unevictable_used
(gauge) | Unevictable memory usage, in Bytes. For Container-Optimized OS, or Ubuntu running GKE.
Shown as byte |
gcp.gce.guest.system.problem_count
(count) | Number of times a machine problem has happened. For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.system.problem_state
(gauge) | Whether a problem is affecting the system or not. The problem is affecting the system when set to 1 and is not affecting the system when set to 0. For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.system.uptime
(gauge) | Number of seconds that the operating system has been running for. For Container-Optimized OS, or Ubuntu running GKE.
Shown as second |
gcp.gce.instance_group.size
(gauge) | The number of VMs in the instance group. |
gcp.gce.instance.cpu.reserved_cores
(gauge) | Number of vCPUs reserved on the host of the instance. |
gcp.gce.instance.cpu.scheduler_wait_time
(gauge) | Wait time is the time a vCPU is ready to run, but unexpectedly not scheduled to run. The wait time returned here is the accumulated value for all vCPUs. |
gcp.gce.instance.cpu.usage_time
(gauge) | CPU usage time for all cores.
Shown as second |
gcp.gce.instance.cpu.utilization
(gauge) | Fractional utilization of allocated CPU on this instance. Values are typically numbers between 0.0 and 1.0 (but some machine types allow bursting above 1.0). Charts display the values as a percentage between 0% and 100% (or more). This metric is reported by the hypervisor for the VM and can differ from agent.googleapis.com/cpu/utilization, which is reported from inside the VM.
Shown as percent |
gcp.gce.instance.disk.average_io_latency
(gauge) | Disk’s average io latency in the last 60s.
Shown as microsecond |
gcp.gce.instance.disk.average_io_queue_depth
(gauge) | Disk’s average io queue depth in the last 60s. |
gcp.gce.instance.disk.max_read_bytes_count
(gauge) | Disk’s maximum per-second read throughput over a period of time specified by the user. The period must be one minute or longer.
Shown as byte |
gcp.gce.instance.disk.max_read_ops_count
(gauge) | Disk’s maximum per-second read requests count over a period of time specified by the user. The period must be one minute or longer. |
gcp.gce.instance.disk.max_write_bytes_count
(gauge) | Disk’s maximum per-second write throughput over a period of time specified by the user. The period must be one minute or longer.
Shown as byte |
gcp.gce.instance.disk.max_write_ops_count
(gauge) | Disk’s maximum per-second write requests count over a period of time specified by the user. The period must be one minute or longer. |
gcp.gce.instance.disk.read_bytes_count
(count) | Count of bytes read from disk.
Shown as byte |
gcp.gce.instance.disk.read_ops_count
(count) | Count of disk read IO operations. |
gcp.gce.instance.disk.write_bytes_count
(count) | Count of bytes written to disk.
Shown as byte |
gcp.gce.instance.disk.write_ops_count
(count) | Count of disk write IO operations. |
gcp.gce.instance.integrity.early_boot_validation_status
(gauge) | The validation status of early boot integrity policy. |
gcp.gce.instance.integrity.late_boot_validation_status
(gauge) | The validation status of late boot integrity policy. |
gcp.gce.instance.is_running
(gauge) | Status check that returns 1 if instance is running |
gcp.gce.instance.memory.balloon.ram_size
(gauge) | The total amount of memory in the VM. This metric is only available for VMs that belong to the e2 family.
Shown as byte |
gcp.gce.instance.memory.balloon.ram_used
(gauge) | Memory currently used in the VM. This metric is only available for VMs that belong to the e2 family.
Shown as byte |
gcp.gce.instance.memory.balloon.swap_in_bytes_count
(count) | 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.
Shown as byte |
gcp.gce.instance.memory.balloon.swap_out_bytes_count
(count) | 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.
Shown as byte |
gcp.gce.instance.network.received_bytes_count
(count) | Count of bytes received from the network.
Shown as byte |
gcp.gce.instance.network.received_packets_count
(count) | Count of packets received from the network. |
gcp.gce.instance.network.sent_bytes_count
(count) | Count of bytes sent over the network.
Shown as byte |
gcp.gce.instance.network.sent_packets_count
(count) | Count of packets sent over the network. |
gcp.gce.instance.uptime
(gauge) | Indicates the VM running time in seconds.
Shown as second |
gcp.gce.mirroring.dropped_packets_count
(count) | Count of dropped mirrored packets. |
gcp.gce.mirroring.mirrored_bytes_count
(count) | Count of mirrored bytes.
Shown as byte |
gcp.gce.mirroring.mirrored_packets_count
(count) | Count of mirrored packets. |
gcp.gce.nat.allocated_ports
(gauge) | Number of ports allocated to a VM by the NAT gateway. |
gcp.gce.nat.closed_connections_count
(count) | Count of connections closed over the NAT gateway. |
gcp.gce.nat.dropped_received_packets_count
(count) | Count of received packets dropped by the NAT gateway. |
gcp.gce.nat.dropped_sent_packets_count
(count) | Count of sent packets dropped by the NAT gateway. |
gcp.gce.nat.new_connections_count
(count) | Count of new connections created over the NAT gateway. |
gcp.gce.nat.open_connections
(gauge) | Number of connections currently open on the NAT gateway. |
gcp.gce.nat.port_usage
(gauge) | Maximum number of connections from a VM to a single internet endpoint (IP:port). |
gcp.gce.nat.received_bytes_count
(count) | Count of bytes received (destination -> VM) via the NAT gateway.
Shown as byte |
gcp.gce.nat.received_packets_count
(count) | Count of packets received (destination -> VM) via the NAT gateway. |
gcp.gce.nat.sent_bytes_count
(gauge) | The number of bytes sent by the NAT gateway
Shown as byte |
gcp.gce.nat.sent_packets_count
(gauge) | The number of packets sent by the NAT gateway
Shown as packet |
gcp.gce.project.quota.backend_buckets.limit
(gauge) | Project quota limit for backend buckets. |
gcp.gce.project.quota.backend_buckets.usage
(gauge) | Project quota usage for backend buckets. |
gcp.gce.project.quota.backend_services.limit
(gauge) | The backend services quota limit |
gcp.gce.project.quota.backend_services.usage
(gauge) | The amount of backend services quota being used |
gcp.gce.project.quota.external_vpn_gateways.limit
(gauge) | Project quota limit for external vpn gateways. |
gcp.gce.project.quota.external_vpn_gateways.usage
(gauge) | Project quota usage for external vpn gateways. |
gcp.gce.project.quota.firewalls.limit
(gauge) | The firewalls quota limit |
gcp.gce.project.quota.firewalls.usage
(gauge) | The amount of firewalls quota being used |
gcp.gce.project.quota.forwarding_rules.limit
(gauge) | The forwarding rules quota limit |
gcp.gce.project.quota.forwarding_rules.usage
(gauge) | The amount of the forwarding rules quota being used |
gcp.gce.project.quota.global_internal_addresses.limit
(gauge) | Project quota limit for global internal IP addresses. |
gcp.gce.project.quota.global_internal_addresses.usage
(gauge) | Project quota usage for global internal IP addresses. |
gcp.gce.project.quota.health_checks.limit
(gauge) | The health checks quota limit |
gcp.gce.project.quota.health_checks.usage
(gauge) | The amount of the health checks quota being used |
gcp.gce.project.quota.images.limit
(gauge) | The images quota limit |
gcp.gce.project.quota.images.usage
(gauge) | The amount of the images quota being used |
gcp.gce.project.quota.in_use_addresses.limit
(gauge) | The in_use_addresses quota limit |
gcp.gce.project.quota.in_use_addresses.usage
(gauge) | The amount of the in_use_addresses quota being used |
gcp.gce.project.quota.instance_templates.limit
(gauge) | The instance templates quota limit |
gcp.gce.project.quota.instance_templates.usage
(gauge) | The amount of the instance templates quota being used |
gcp.gce.project.quota.interconnects.limit
(gauge) | Project quota limit for interconnects. |
gcp.gce.project.quota.interconnects.usage
(gauge) | Project quota usage for interconnects. |
gcp.gce.project.quota.machine_images.limit
(gauge) | Project quota limit for machine images. |
gcp.gce.project.quota.machine_images.usage
(gauge) | Project quota usage for machine images. |
gcp.gce.project.quota.network_endpoint_groups.limit
(gauge) | Project quota limit for network endpoint groups. |
gcp.gce.project.quota.network_endpoint_groups.usage
(gauge) | Project quota usage for network endpoint groups. |
gcp.gce.project.quota.networks.limit
(gauge) | The networks quota limit |
gcp.gce.project.quota.networks.usage
(gauge) | The amount of the networks quota being used |
gcp.gce.project.quota.packet_mirrorings.limit
(gauge) | Project quota limit for mirrorings. |
gcp.gce.project.quota.packet_mirrorings.usage
(gauge) | Project quota usage for mirrorings. |
gcp.gce.project.quota.routers.limit
(gauge) | Project quota limit for routers. |
gcp.gce.project.quota.routers.usage
(gauge) | Project quota usage for routers. |
gcp.gce.project.quota.routes.limit
(gauge) | The routes quota limit |
gcp.gce.project.quota.routes.usage
(gauge) | The amount of the routes quota being used |
gcp.gce.project.quota.security_policies.limit
(gauge) | Project quota limit for security policies. |
gcp.gce.project.quota.security_policies.usage
(gauge) | Project quota usage for security policies. |
gcp.gce.project.quota.security_policy_ceval_rules.limit
(gauge) | Project quota limit for security policy ceval rules. |
gcp.gce.project.quota.security_policy_ceval_rules.usage
(gauge) | Project quota usage for security policy ceval rules. |
gcp.gce.project.quota.security_policy_rules.limit
(gauge) | Project quota limit for security policy rules. |
gcp.gce.project.quota.security_policy_rules.usage
(gauge) | Project quota usage for security policy rules. |
gcp.gce.project.quota.snapshots.limit
(gauge) | The snapshots quota limit |
gcp.gce.project.quota.snapshots.usage
(gauge) | The amount of the snapshots quota being used |
gcp.gce.project.quota.ssl_certificates.limit
(gauge) | The SSL certificates quota limit |
gcp.gce.project.quota.ssl_certificates.usage
(gauge) | The amount of the SSL certificates quota being used |
gcp.gce.project.quota.static_addresses.limit
(gauge) | The static addresses quota limit |
gcp.gce.project.quota.static_addresses.usage
(gauge) | The amount of the static addresses quota being used |
gcp.gce.project.quota.subnetworks.limit
(gauge) | The subnetworks quota limit |
gcp.gce.project.quota.subnetworks.usage
(gauge) | The amount of the subnetworks quota being used |
gcp.gce.project.quota.target_http_proxies.limit
(gauge) | The target http proxies quota limit |
gcp.gce.project.quota.target_http_proxies.usage
(gauge) | The amount of the target http proxies quota being used |
gcp.gce.project.quota.target_https_proxies.limit
(gauge) | The target https proxies quota limit |
gcp.gce.project.quota.target_https_proxies.usage
(gauge) | The amount of the target https proxies quota being used |
gcp.gce.project.quota.target_instances.limit
(gauge) | The target instances quota limit |
gcp.gce.project.quota.target_instances.usage
(gauge) | The amount of the target instances quota being used |
gcp.gce.project.quota.target_pools.limit
(gauge) | The target pools quota limit |
gcp.gce.project.quota.target_pools.usage
(gauge) | The amount of the target pools quota being used |
gcp.gce.project.quota.target_ssl_proxies.limit
(gauge) | Project quota limit for target ssl proxies. |
gcp.gce.project.quota.target_ssl_proxies.usage
(gauge) | Project quota usage for target ssl proxies. |
gcp.gce.project.quota.target_tcp_proxies.limit
(gauge) | Project quota limit for target tcp proxies. |
gcp.gce.project.quota.target_tcp_proxies.usage
(gauge) | Project quota usage for target tcp proxies. |
gcp.gce.project.quota.target_vpn_gateways.limit
(gauge) | The target vpn gateways quota limit |
gcp.gce.project.quota.target_vpn_gateways.usage
(gauge) | The amount of the target vpn gateways quota being used |
gcp.gce.project.quota.url_maps.limit
(gauge) | The url maps quota limit |
gcp.gce.project.quota.url_maps.usage
(gauge) | The amount of the url maps quota being used |
gcp.gce.project.quota.vpn_gateways.limit
(gauge) | The vpn gateways quota limit |
gcp.gce.project.quota.vpn_gateways.usage
(gauge) | The number of vpn gateways being used |
gcp.gce.project.quota.vpn_tunnels.limit
(gauge) | The vpn tunnels quota limit |
gcp.gce.project.quota.vpn_tunnels.usage
(gauge) | The amount of the vpn tunnels quota being used |
gcp.gce.region.quota.affinity_groups.limit
(gauge) | The affinity groups quota limit |
gcp.gce.region.quota.affinity_groups.percentage
(gauge) | The percentage of the affinity groups quota being used
Shown as percent |
gcp.gce.region.quota.affinity_groups.usage
(gauge) | The number of affinity groups being used |
gcp.gce.region.quota.autoscalers.limit
(gauge) | The autoscalers quota limit |
gcp.gce.region.quota.autoscalers.percentage
(gauge) | The percentage of the autoscalers quota being used
Shown as percent |
gcp.gce.region.quota.autoscalers.usage
(gauge) | The number of autoscalers being used |
gcp.gce.region.quota.c2_cpus.limit
(gauge) | The c2 cpus quota limit |
gcp.gce.region.quota.c2_cpus.percentage
(gauge) | The percentage of the c2 cpus quota being used
Shown as percent |
gcp.gce.region.quota.c2_cpus.usage
(gauge) | The number of c2 cpus being used |
gcp.gce.region.quota.commitments.limit
(gauge) | The commitments quota limit |
gcp.gce.region.quota.commitments.percentage
(gauge) | The percentage of the commitments quota being used
Shown as percent |
gcp.gce.region.quota.commitments.usage
(gauge) | The number of commitments being used |
gcp.gce.region.quota.committed_c2_cpus.limit
(gauge) | The c2 cpus quota limit |
gcp.gce.region.quota.committed_c2_cpus.percentage
(gauge) | The percentage of the c2 cpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_c2_cpus.usage
(gauge) | The number of c2 cpusbeing used |
gcp.gce.region.quota.committed_cpus.limit
(gauge) | The cpus quota limit |
gcp.gce.region.quota.committed_cpus.percentage
(gauge) | The percentage of the cpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_cpus.usage
(gauge) | The number of cpusbeing used |
gcp.gce.region.quota.committed_local_ssd_total_gb.limit
(gauge) | The local ssd total gb quota limit |
gcp.gce.region.quota.committed_local_ssd_total_gb.percentage
(gauge) | The percentage of the local ssd total gb quota being used
Shown as percent |
gcp.gce.region.quota.committed_local_ssd_total_gb.usage
(gauge) | The number of local ssd total gbbeing used |
gcp.gce.region.quota.committed_n2_cpus.limit
(gauge) | The n2 cpus quota limit |
gcp.gce.region.quota.committed_n2_cpus.percentage
(gauge) | The percentage of the n2 cpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_n2_cpus.usage
(gauge) | The number of n2 cpusbeing used |
gcp.gce.region.quota.committed_n2d_cpus.limit
(gauge) | The n2d cpus quota limit |
gcp.gce.region.quota.committed_n2d_cpus.percentage
(gauge) | The percentage of the n2d cpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_n2d_cpus.usage
(gauge) | The number of n2d cpusbeing used |
gcp.gce.region.quota.committed_nvidia_k80_gpus.limit
(gauge) | The nvidia k80 gpus quota limit |
gcp.gce.region.quota.committed_nvidia_k80_gpus.percentage
(gauge) | The percentage of the nvidia k80 gpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_nvidia_k80_gpus.usage
(gauge) | The number of nvidia k80 gpusbeing used |
gcp.gce.region.quota.committed_nvidia_p100_gpus.limit
(gauge) | The nvidia p100 gpus quota limit |
gcp.gce.region.quota.committed_nvidia_p100_gpus.percentage
(gauge) | The percentage of the nvidia p100 gpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_nvidia_p100_gpus.usage
(gauge) | The number of nvidia p100 gpusbeing used |
gcp.gce.region.quota.committed_nvidia_p4_gpus.limit
(gauge) | The nvidia p4 gpus quota limit |
gcp.gce.region.quota.committed_nvidia_p4_gpus.percentage
(gauge) | The percentage of the nvidia p4 gpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_nvidia_p4_gpus.usage
(gauge) | The number of nvidia p4 gpusbeing used |
gcp.gce.region.quota.committed_nvidia_t4_gpus.limit
(gauge) | The nvidia t4 gpus quota limit |
gcp.gce.region.quota.committed_nvidia_t4_gpus.percentage
(gauge) | The percentage of the nvidia t4 gpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_nvidia_t4_gpus.usage
(gauge) | The number of nvidia t4 gpusbeing used |
gcp.gce.region.quota.committed_nvidia_v100_gpus.limit
(gauge) | The nvidia v100 gpus quota limit |
gcp.gce.region.quota.committed_nvidia_v100_gpus.percentage
(gauge) | The percentage of the nvidia v100 gpus quota being used
Shown as percent |
gcp.gce.region.quota.committed_nvidia_v100_gpus.usage
(gauge) | The number of nvidia v100 gpusbeing used |
gcp.gce.region.quota.cpus.limit
(gauge) | The CPUs quota limit |
gcp.gce.region.quota.cpus.percentage
(gauge) | The percentage of the cpus quota being used
Shown as percent |
gcp.gce.region.quota.cpus.usage
(gauge) | The number of CPUs being used |
gcp.gce.region.quota.disks_total_gb.limit
(gauge) | The total HDD Disks size quota
Shown as gibibyte |
gcp.gce.region.quota.disks_total_gb.percentage
(gauge) | The percentage of the HDD Disks size quota being used
Shown as percent |
gcp.gce.region.quota.disks_total_gb.usage
(gauge) | The total HDD Disks size being used
Shown as gibibyte |
gcp.gce.region.quota.in_use_addresses.limit
(gauge) | The in-use IP addresses (ephemeral + static) quota limit |
gcp.gce.region.quota.in_use_addresses.percentage
(gauge) | The percentage of the in-use IP addresses (ephemeral + static) quota being used
Shown as percent |
gcp.gce.region.quota.in_use_addresses.usage
(gauge) | The number of IP addresses (ephemeral + static) being used |
gcp.gce.region.quota.in_use_backup_schedules.limit
(gauge) | The backup schedules quota limit |
gcp.gce.region.quota.in_use_backup_schedules.percentage
(gauge) | The percentage of the in use backup schedules quota being used
Shown as percent |
gcp.gce.region.quota.in_use_backup_schedules.usage
(gauge) | The number of backup schedules being used |
gcp.gce.region.quota.in_use_snapshot_schedules.limit
(gauge) | Region quota limit for in use snapshot schedules. |
gcp.gce.region.quota.in_use_snapshot_schedules.percentage
(gauge) | Region quota percentage for in use snapshot schedules.
Shown as percent |
gcp.gce.region.quota.in_use_snapshot_schedules.usage
(gauge) | Region quota usage for in use snapshot schedules. |
gcp.gce.region.quota.instance_group_managers.limit
(gauge) | The instance group managers quota limit |
gcp.gce.region.quota.instance_group_managers.percentage
(gauge) | The percentage of the instance group managers quota being used
Shown as percent |
gcp.gce.region.quota.instance_group_managers.usage
(gauge) | The number of instance groups managers being used |
gcp.gce.region.quota.instance_groups.limit
(gauge) | The instance groups quota limit |
gcp.gce.region.quota.instance_groups.percentage
(gauge) | The percentage of the instance groups quota being used
Shown as percent |
gcp.gce.region.quota.instance_groups.usage
(gauge) | The number of instance groups being used |
gcp.gce.region.quota.instances.limit
(gauge) | The instances quota limit |
gcp.gce.region.quota.instances.percentage
(gauge) | The percentage of the instances quota being used
Shown as percent |
gcp.gce.region.quota.instances.usage
(gauge) | The number of instances being used |
gcp.gce.region.quota.interconnect_attachments_per_region.limit
(gauge) | The interconnect attachments per region quota limit |
gcp.gce.region.quota.interconnect_attachments_per_region.percentage
(gauge) | The percentage of the interconnect attachments per region quota being used
Shown as percent |
gcp.gce.region.quota.interconnect_attachments_per_region.usage
(gauge) | The number of interconnect attachments per region being used |
gcp.gce.region.quota.interconnect_attachments_total_mbps.limit
(gauge) | The interconnect attachments total mbps quota limit |
gcp.gce.region.quota.interconnect_attachments_total_mbps.percentage
(gauge) | The percentage of the interconnect attachments total mbps quota being used
Shown as percent |
gcp.gce.region.quota.interconnect_attachments_total_mbps.usage
(gauge) | The interconnect attachments total mbps being used |
gcp.gce.region.quota.internal_addresses.limit
(gauge) | The internal addresses quota limit |
gcp.gce.region.quota.internal_addresses.percentage
(gauge) | The percentage of the internal addresses quota being used
Shown as percent |
gcp.gce.region.quota.internal_addresses.usage
(gauge) | The number of internal addresses being used |
gcp.gce.region.quota.local_ssd_total_gb.limit
(gauge) | The local ssd total gb quota limit
Shown as gibibyte |
gcp.gce.region.quota.local_ssd_total_gb.percentage
(gauge) | The percentage of local ssd total gb quota being used
Shown as percent |
gcp.gce.region.quota.local_ssd_total_gb.usage
(gauge) | The local ssd total gb quota being used
Shown as gibibyte |
gcp.gce.region.quota.n2_cpus.limit
(gauge) | The n2 cpus quota limit |
gcp.gce.region.quota.n2_cpus.percentage
(gauge) | The percentage of n2 cpus being used
Shown as percent |
gcp.gce.region.quota.n2_cpus.usage
(gauge) | The n2 cpus quota being used |
gcp.gce.region.quota.n2d_cpus.limit
(gauge) | The n2d cpus quota limit |
gcp.gce.region.quota.n2d_cpus.percentage
(gauge) | The percentage of n2d cpus being used
Shown as percent |
gcp.gce.region.quota.n2d_cpus.usage
(gauge) | The n2d cpus quota being used |
gcp.gce.region.quota.network_endpoint_groups.limit
(gauge) | Region quota limit for network endpoint groups. |
gcp.gce.region.quota.network_endpoint_groups.percentage
(gauge) | Region quota percentage for network endpoint groups.
Shown as percent |
gcp.gce.region.quota.network_endpoint_groups.usage
(gauge) | Region quota usage for network endpoint groups. |
gcp.gce.region.quota.node_groups.limit
(gauge) | The node groups quota limit |
gcp.gce.region.quota.node_groups.percentage
(gauge) | The percentage of node groups being used
Shown as percent |
gcp.gce.region.quota.node_groups.usage
(gauge) | The node groups quota being used |
gcp.gce.region.quota.node_templates.limit
(gauge) | The node templates quota limit |
gcp.gce.region.quota.node_templates.percentage
(gauge) | The percentage of node templates being used
Shown as percent |
gcp.gce.region.quota.node_templates.usage
(gauge) | The node templates quota being used |
gcp.gce.region.quota.nvidia_k80_gpus.limit
(gauge) | The nvidia k80 gpus quota limit |
gcp.gce.region.quota.nvidia_k80_gpus.percentage
(gauge) | The percentage of the nvidia k80 gpus quota being used
Shown as percent |
gcp.gce.region.quota.nvidia_k80_gpus.usage
(gauge) | The number of nvidia k80 gpus being used |
gcp.gce.region.quota.nvidia_p100_gpus.limit
(gauge) | The nvidia p100 gpus quota limit |
gcp.gce.region.quota.nvidia_p100_gpus.percentage
(gauge) | The percentage of the nvidia p100 gpus quota being used
Shown as percent |
gcp.gce.region.quota.nvidia_p100_gpus.usage
(gauge) | The number of nvidia p100 gpus being used |
gcp.gce.region.quota.nvidia_p100_vws_gpus.limit
(gauge) | The nvidia p100 virtual workstations quota limit |
gcp.gce.region.quota.nvidia_p100_vws_gpus.percentage
(gauge) | The percentage of the nvidia p100 virtual workstations quota being used
Shown as percent |
gcp.gce.region.quota.nvidia_p100_vws_gpus.usage
(gauge) | The number of nvidia p100 virtual workstations being used |
gcp.gce.region.quota.nvidia_p4_gpus.limit
(gauge) | The nvidia p4 gpus quota limit |
gcp.gce.region.quota.nvidia_p4_gpus.percentage
(gauge) | The percentage of the nvidia p4 gpus quota being used
Shown as percent |
gcp.gce.region.quota.nvidia_p4_gpus.usage
(gauge) | The number of nvidia p4 gpus being used |
gcp.gce.region.quota.nvidia_p4_vws_gpus.limit
(gauge) | Region quota limit for Nvidia P4 virtual workstation GPUs. |
gcp.gce.region.quota.nvidia_p4_vws_gpus.percentage
(gauge) | Region quota percentage for Nvidia P4 virtual workstation GPUs.
Shown as percent |
gcp.gce.region.quota.nvidia_p4_vws_gpus.usage
(gauge) | Region quota usage for Nvidia P4 virtual workstation GPUs. |
gcp.gce.region.quota.nvidia_t4_gpus.limit
(gauge) | Region quota limit for Nvidia T4 GPUs. |
gcp.gce.region.quota.nvidia_t4_gpus.percentage
(gauge) | Region quota percentage for Nvidia T4 GPUs.
Shown as percent |
gcp.gce.region.quota.nvidia_t4_gpus.usage
(gauge) | Region quota usage for Nvidia T4 GPUs. |
gcp.gce.region.quota.nvidia_t4_vws_gpus.limit
(gauge) | Region quota limit for Nvidia T4 virtual workstation GPUs. |
gcp.gce.region.quota.nvidia_t4_vws_gpus.percentage
(gauge) | Region quota percentage for Nvidia T4 virtual workstation GPUs.
Shown as percent |
gcp.gce.region.quota.nvidia_t4_vws_gpus.usage
(gauge) | Region quota usage for Nvidia T4 virtual workstation GPUs. |
gcp.gce.region.quota.nvidia_v100_gpus.limit
(gauge) | The nvidia v100 gpus quota limit |
gcp.gce.region.quota.nvidia_v100_gpus.percentage
(gauge) | The percentage of the nvidia v100 gpus quota being used
Shown as percent |
gcp.gce.region.quota.nvidia_v100_gpus.usage
(gauge) | The number of nvidia v100 gpus being used |
gcp.gce.region.quota.preemptible_cpus.limit
(gauge) | The preemptible cpus quota limit |
gcp.gce.region.quota.preemptible_cpus.percentage
(gauge) | The percentage of the preemptible cpus quota being used
Shown as percent |
gcp.gce.region.quota.preemptible_cpus.usage
(gauge) | The number of preemptible cpus being used |
gcp.gce.region.quota.preemptible_local_ssd_gb.limit
(gauge) | The preemptible local ssd gb quota limit
Shown as gibibyte |
gcp.gce.region.quota.preemptible_local_ssd_gb.percentage
(gauge) | The percentage of preemptible local ssd gb quota being used
Shown as percent |
gcp.gce.region.quota.preemptible_local_ssd_gb.usage
(gauge) | The preemptible local ssd gb quota being used
Shown as gibibyte |
gcp.gce.region.quota.preemptible_nvidia_k80_gpus.limit
(gauge) | The preemptible nvidia k80 gpus quota limit |
gcp.gce.region.quota.preemptible_nvidia_k80_gpus.percentage
(gauge) | The percentage of the preemptible nvidia k80 gpus quota being used
Shown as percent |
gcp.gce.region.quota.preemptible_nvidia_k80_gpus.usage
(gauge) | The number of preemptible nvidia k80 gpus being used |
gcp.gce.region.quota.preemptible_nvidia_p100_gpus.limit
(gauge) | The preemptible nvidia p100 gpus quota limit |
gcp.gce.region.quota.preemptible_nvidia_p100_gpus.percentage
(gauge) | The percentage of the preemptible nvidia p100 gpus quota being used
Shown as percent |
gcp.gce.region.quota.preemptible_nvidia_p100_gpus.usage
(gauge) | The number of preemptible nvidia p100 gpus being used |
gcp.gce.region.quota.preemptible_nvidia_p100_vws_gpus.limit
(gauge) | Region quota limit for preemptible Nvidia P100 virtual workstation GPUs. |
gcp.gce.region.quota.preemptible_nvidia_p100_vws_gpus.percentage
(gauge) | Region quota percentage for preemptible Nvidia P100 virtual workstation GPUs.
Shown as percent |
gcp.gce.region.quota.preemptible_nvidia_p100_vws_gpus.usage
(gauge) | Region quota usage for preemptible Nvidia P100 virtual workstation GPUs. |
gcp.gce.region.quota.preemptible_nvidia_p4_gpus.limit
(gauge) | Region quota limit for preemptible Nvidia P4 GPUs. |
gcp.gce.region.quota.preemptible_nvidia_p4_gpus.percentage
(gauge) | Region quota percentage for preemptible Nvidia P4 GPUs.
Shown as percent |
gcp.gce.region.quota.preemptible_nvidia_p4_gpus.usage
(gauge) | Region quota usage for preemptible Nvidia P4 GPUs. |
gcp.gce.region.quota.preemptible_nvidia_p4_vws_gpus.limit
(gauge) | Region quota limit for preemptible Nvidia P4 virtual workstation GPUs. |
gcp.gce.region.quota.preemptible_nvidia_p4_vws_gpus.percentage
(gauge) | Region quota percentage for preemptible Nvidia P4 virtual workstation GPUs.
Shown as percent |
gcp.gce.region.quota.preemptible_nvidia_p4_vws_gpus.usage
(gauge) | Region quota usage for preemptible Nvidia P4 virtual workstation GPUs. |
gcp.gce.region.quota.preemptible_nvidia_t4_gpus.limit
(gauge) | Region quota limit for preemptible Nvidia T4 GPUs. |
gcp.gce.region.quota.preemptible_nvidia_t4_gpus.percentage
(gauge) | Region quota percentage for preemptible Nvidia T4 GPUs.
Shown as percent |
gcp.gce.region.quota.preemptible_nvidia_t4_gpus.usage
(gauge) | Region quota usage for preemptible Nvidia T4 GPUs. |
gcp.gce.region.quota.preemptible_nvidia_t4_vws_gpus.limit
(gauge) | Region quota limit for preemptible Nvidia T4 virtual workstation GPUs. |
gcp.gce.region.quota.preemptible_nvidia_t4_vws_gpus.percentage
(gauge) | Region quota percentage for preemptible Nvidia T4 virtual workstation GPUs.
Shown as percent |
gcp.gce.region.quota.preemptible_nvidia_t4_vws_gpus.usage
(gauge) | Region quota usage for preemptible Nvidia T4 virtual workstation GPUs. |
gcp.gce.region.quota.preemptible_nvidia_v100_gpus.limit
(gauge) | The preemptible nvidia v100 gpus quota limit |
gcp.gce.region.quota.preemptible_nvidia_v100_gpus.percentage
(gauge) | The percentage of the preemptible nvidia v100 gpus quota being used
Shown as percent |
gcp.gce.region.quota.preemptible_nvidia_v100_gpus.usage
(gauge) | The number of preemptible nvidia v100 gpus being used |
gcp.gce.region.quota.regional_autoscalers.limit
(gauge) | The regional autoscalers quota limit |
gcp.gce.region.quota.regional_autoscalers.percentage
(gauge) | The percentage of the regional autoscalers quota being used
Shown as percent |
gcp.gce.region.quota.regional_autoscalers.usage
(gauge) | The number of regional autoscalers being used |
gcp.gce.region.quota.regional_instance_group_managers.limit
(gauge) | The regional instance group managers quota limit |
gcp.gce.region.quota.regional_instance_group_managers.percentage
(gauge) | The percentage of the regional instance group managers quota being used
Shown as percent |
gcp.gce.region.quota.regional_instance_group_managers.usage
(gauge) | The number of regional instance group managers being used |
gcp.gce.region.quota.reservations.limit
(gauge) | The reservations quota limit |
gcp.gce.region.quota.reservations.percentage
(gauge) | The percentage of reservations being used
Shown as percent |
gcp.gce.region.quota.reservations.usage
(gauge) | The reservations quota being used |
gcp.gce.region.quota.resource_policies.limit
(gauge) | The resource policies quota limit |
gcp.gce.region.quota.resource_policies.percentage
(gauge) | The percentage of the resource policies quota being used
Shown as percent |
gcp.gce.region.quota.resource_policies.usage
(gauge) | The number of resource policies being used |
gcp.gce.region.quota.ssd_total_gb.limit
(gauge) | The total ssd gb quota limit
Shown as gibibyte |
gcp.gce.region.quota.ssd_total_gb.percentage
(gauge) | The percentage of the ssd gb ratio being used
Shown as percent |
gcp.gce.region.quota.ssd_total_gb.usage
(gauge) | The total ssd gb being used
Shown as gibibyte |
gcp.gce.region.quota.static_addresses.limit
(gauge) | Region quota limit for static addresses. |
gcp.gce.region.quota.static_addresses.percentage
(gauge) | Region quota percentage for static IP addresses.
Shown as percent |
gcp.gce.region.quota.static_addresses.usage
(gauge) | Region quota usage for static IP addresses. |
gcp.gce.capacity.slices
(gauge) | The state of capacity per topology of an accelerator slice. The value indicates the count of topologies in that state at a given instant in time. |
gcp.gce.guest.cpu.load_15m
(gauge) | CPU Load (15 minute intervals). For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.cpu.load_1m
(gauge) | CPU Load (1 minute intervals). For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.cpu.load_5m
(gauge) | CPU Load (5 minute intervals). For Container-Optimized OS, or Ubuntu running GKE. |
gcp.gce.guest.disk.percent_used
(gauge) | Percentage of total disk capacity currently in use.
Shown as percent |
gcp.gce.guest.memory.percent_used
(gauge) | Percentage of total system memory actively in use. Calculated as (Total Memory - Free Memory - Buffers - Cached - Slab) / Total Memory * 100.
Shown as percent |
gcp.gce.instance.gpu.accumulated_context_utilization_seconds
(gauge) | Accumulated context utilization time (in seconds). |
gcp.gce.instance.gpu.cache_correctable_ecc_error_count
(gauge) | The number of correctable ECC errors in cache memory. |
gcp.gce.instance.gpu.cache_uncorrectable_ecc_error_count
(gauge) | The number of uncorrectable ECC errors in cache memory. |
gcp.gce.instance.gpu.dram_correctable_ecc_error_count
(gauge) | The number of correctable ECC errors in GPU DRAMs. |
gcp.gce.instance.gpu.dram_correctable_row_remapping_count
(gauge) | The number of row remappings from correctable errors in GPU DRAMs. |
gcp.gce.instance.gpu.dram_uncorrectable_ecc_error_count
(gauge) | The number of uncorrectable ECC errors in GPU DRAMs. |
gcp.gce.instance.gpu.dram_uncorrectable_row_remapping_count
(gauge) | The number of row remappings from uncorrectable errors in GPU DRAMs. |
gcp.gce.instance.gpu.gpu_nvlink_active_speed
(gauge) | Current NVLink port speed in Gbps. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_effective_ber
(gauge) | Effective bit error rate (BER) is the error rate of the port after a forward error correction (FEC). The value indicates the overall average BER since the last counter reset. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_link_downed_counter
(gauge) | The number of link-down events on the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_link_error_recovery_count
(gauge) | The number of successful link recovery processes. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_physical_effective_errors
(gauge) | Effective error count is the number of bit errors that the port receives post-Forward Error Correction (FEC). Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_port_rcv_data
(gauge) | Total number of bytes received, measured as bps. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_port_rcv_errors
(gauge) | Total number of packets containing an error that were received on the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_port_xmit_data
(gauge) | Total number of bytes transmitted, measured as bps. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_port_xmit_discards
(gauge) | Total number of outbound packets that were discarded by the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_port_xmit_wait
(gauge) | The number of transmitted packets incurred transmit wait. Supported for A4X VMs only. |
gcp.gce.instance.gpu.gpu_nvlink_vl15_dropped
(gauge) | The number of management (VL15) packets that were dropped due to a lack of resources on the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.link_carrier_changes
(gauge) | This metric captures the network link carrier change as delta value computed at 1 minute granularity. This metric is available for all GPU VM machine types starting with A3 mega, A3 ultra, A4 and all future GPU VM families except Spot VMs. |
gcp.gce.instance.gpu.nccl.latency_tx.avg
(gauge) | The metric measures the latency distribution of NCCL send operations.
Shown as nanosecond |
gcp.gce.instance.gpu.nccl.latency_variance.avg
(gauge) | The metric measures the latency variance distribution of NCCL send operations.
Shown as nanosecond |
gcp.gce.instance.gpu.nccl.message_size_tx.avg
(gauge) | The metric measures the message size distribution of NCCL send operations.
Shown as byte |
gcp.gce.instance.gpu.nccl_hang
(gauge) | The number of NCCL (NVIDIA Collective Communication Library) hang (or crash) issues detected on this VM instance. A value greater than 0 indicates a detected issue. |
gcp.gce.instance.gpu.network_cc_rate.avg
(gauge) | This metric measures the distribution of the transmission rates set by RTTCC on the network interfaces in your GPU VMs. This metric is available for GPU VM machine types starting with A3 Ultra, A4, and all future GPU VM families. |
gcp.gce.instance.gpu.network_rtt.avg
(gauge) | This metric measures network round-trip time in your GPU VMs. This metric is available for GPU VM machine types starting with A3 mega, A3 ultra, A4 and all future GPU VM families except Spot VMs.
Shown as microsecond |
gcp.gce.instance.gpu.nvlink_active_speed
(gauge) | Current access link port speed in Gb/s. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvlink_port_state
(gauge) | Logical and Physical port states for NVswitch ports as defined in the OpenConfig YANG model. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_effective_ber
(gauge) | Effective BER (Bit Error Rate) is the error rate of the port after FEC (Forward Error Correction). The value indicates the overall average BER since the last counter reset. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_effective_errors
(gauge) | Effective error count is the number of bit errors that the port receives after FEC (Forward Error Correction). Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_link_downed_counter
(gauge) | The count of link-down events on the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_link_error_recovery_counter
(gauge) | The count of successful link recovery processes on the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_port_rcv_data
(gauge) | Total number of bytes received, measured as bps. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_port_rcv_errors
(gauge) | Total number of packets containing an error that were received on the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_port_xmit_constraint_errors
(gauge) | Total number of packets not transmitted from the switch physical port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_port_xmit_data
(gauge) | Total number of bytes transmitted, measured as bps. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_port_xmit_discards
(gauge) | Total number of outbound packets that were discarded by the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_port_xmit_wait
(gauge) | The number of transmitted packets incurred transmit wait. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_symbol_errors
(gauge) | Symbol error count is the number of bit errors that the port receives after FEC (Forward Error Correction) and PLR (Physical Layer Retransmission). Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_vl15_dropped
(gauge) | The number of management (VL15) packets that were dropped due to a lack of resources on the port. Supported for A4X VMs only. |
gcp.gce.instance.gpu.nvswitch_zero_hist
(gauge) | First FEC histogram bin with value of 0. Monitor max of bits errors in the FEC block occurred up to the time of measurement. Supported for A4X VMs only. |
gcp.gce.instance.gpu.pcie_correctable_error_count
(gauge) | The number of correctable PCIe errors. |
gcp.gce.instance.gpu.pcie_fatal_error_count
(gauge) | The number of fatal PCIe errors. |
gcp.gce.instance.gpu.pcie_l0_to_recovery_count
(gauge) | The number of times the PCIe link entered the recovery state from the L0 state. |
gcp.gce.instance.gpu.pcie_nak_received_count
(gauge) | The number of NAKs the host root complex issued on the PCIe link. |
gcp.gce.instance.gpu.pcie_nak_sent_count
(gauge) | The number of NAKs the GPU issued on the PCIe link. |
gcp.gce.instance.gpu.pcie_non_fatal_error_count
(gauge) | The number of non-fatal PCIe errors. |
gcp.gce.instance.gpu.pcie_replay_count
(gauge) | The number of replays the GPU issued on the PCIe link. |
gcp.gce.instance.gpu.pcie_replay_rollover_count
(gauge) | The number of replay rollovers the GPU issued on the PCIe link. |
gcp.gce.instance.gpu.tcpxo_receive_chunk_latency.avg
(gauge) | The metric measures TCPXO received chunk latency in VM. This metric is available only for A3 mega VMs.
Shown as nanosecond |
gcp.gce.instance.gpu.tcpxo_send_chunk_latency.avg
(gauge) | The metric measures TCPXO send chunk latency in VM. This metric is available only for A3 mega VMs.
Shown as nanosecond |
gcp.gce.instance.tpu.accelerator.duty_cycle
(gauge) | Percentage of time over the sample period during which the accelerator was actively processing. Values are in the range of [0,100].
Shown as percent |
gcp.gce.instance.tpu.accelerator.memory_bandwidth_utilization
(gauge) | Current percentage of the accelerator memory bandwidth that is being used. Computed by dividing the memory bandwidth used over a sample period by the maximum supported bandwidth over the same sample period.
Shown as percent |
gcp.gce.instance.tpu.accelerator.memory_total
(gauge) | Total accelerator memory currently allocated in bytes.
Shown as byte |
gcp.gce.instance.tpu.accelerator.memory_used
(gauge) | Total accelerator memory currently used in bytes.
Shown as byte |
gcp.gce.instance.tpu.accelerator.tensorcore_utilization
(gauge) | Current percentage of the Tensorcore that is utilized. Computed by dividing the Tensorcore operations that were performed over a sample period by the supported number of Tensorcore operations over the same sample period.
Shown as percent |
gcp.gce.instance.tpu.active_chips
(gauge) | The current count of chips that are actively being utilized (i.e) not idle. |
gcp.gce.instance.tpu.chip_state
(gauge) | The count of TPU chips in various states like Healthy, Unhealthy and Unknown. |
gcp.gce.instance.tpu.runtime.uptime
(gauge) | Uptime of the ML Runtime since the initialization of the runtime library (libtpu.so) by the ML job. During this period the runtime library blocks the TPU devices for use by the ML job.
Shown as second |
gcp.gce.instance.tpu.scheduled_chips
(gauge) | The current count of chips that are allocated to a VM which is HEALTHY and is NOT DISABLED for maintenance. |
gcp.gce.instance.tpu.utilized_chips
(gauge) | The current aggregate utilized capacity expressed as an effective number of active chips. It is equivalent to the sum of the fractional utilization (0.0 to 1.0) of all active chips. |
gcp.gce.machine.machine_status
(gauge) | This metric captures the machine health status and utilization status of a GCE Machine. |
gcp.gce.quota.asynchronously_replicating_disk_pairs_per_project_region_pair.usage
(gauge) | Current usage on quota metric compute.googleapis.com/asynchronously_replicating_disk_pairs_per_project_region_pair. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.cloud_router_prefixes_from_other_regions_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/cloud_router_prefixes_from_other_regions_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.cloud_router_prefixes_from_own_region_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/cloud_router_prefixes_from_own_region_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.cpus_per_vm_family.usage
(gauge) | Current usage on quota metric compute.googleapis.com/cpus_per_vm_family. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.cross_regional_internal_proxy_lb_config_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/cross_regional_internal_proxy_lb_config_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.disks_per_consistency_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/disks_per_consistency_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.disks_per_snapshot_schedule.usage
(gauge) | Current usage on quota metric compute.googleapis.com/disks_per_snapshot_schedule. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.disks_per_storage_pool.usage
(gauge) | Current usage on quota metric compute.googleapis.com/disks_per_storage_pool. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.dynamic_routes_per_region_per_peering_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/dynamic_routes_per_region_per_peering_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.firewall_rule_attributes_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/firewall_rule_attributes_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.firewall_rule_fqdns_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/firewall_rule_fqdns_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.fqdns_per_global_network_firewall_policy.usage
(gauge) | Current usage on quota metric compute.googleapis.com/fqdns_per_global_network_firewall_policy. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.fqdns_per_hierarchical_firewall_policy.usage
(gauge) | Current usage on quota metric compute.googleapis.com/fqdns_per_hierarchical_firewall_policy. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.fqdns_per_regional_network_firewall_policy.usage
(gauge) | Current usage on quota metric compute.googleapis.com/fqdns_per_regional_network_firewall_policy. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.gce_firewall_programmed_secure_tag_values_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/gce_firewall_programmed_secure_tag_values_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.global_internal_managed_forwarding_rules_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/global_internal_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.gpus_per_gpu_family.usage
(gauge) | Current usage on quota metric compute.googleapis.com/gpus_per_gpu_family. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.instances_per_peering_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/instances_per_peering_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.instances_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/instances_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.interconnect_attachments_per_interconnect.usage
(gauge) | Current usage on quota metric compute.googleapis.com/interconnect_attachments_per_interconnect. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.internal_lb_forwarding_rules_per_peering_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/internal_lb_forwarding_rules_per_peering_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.internal_lb_forwarding_rules_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/internal_lb_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.internal_managed_forwarding_rules_per_peering_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/internal_managed_forwarding_rules_per_peering_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.internal_managed_forwarding_rules_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/internal_managed_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.internal_protocol_forwarding_ha_rules_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/internal_protocol_forwarding_ha_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.internal_protocol_forwarding_rules_per_peering_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/internal_protocol_forwarding_rules_per_peering_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.internal_protocol_forwarding_rules_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/internal_protocol_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.ip_aliases_per_peering_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/ip_aliases_per_peering_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.ip_aliases_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/ip_aliases_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.local_ssd_total_storage_per_vm_family.usage
(gauge) | Current usage on quota metric compute.googleapis.com/local_ssd_total_storage_per_vm_family. After sampling, data is not visible for up to 150 seconds.
Shown as gibibyte |
gcp.gce.quota.multicast_consumers_per_zone_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/multicast_consumers_per_zone_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.peerings_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/peerings_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.psc_google_apis_forwarding_rules_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/psc_google_apis_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.psc_ilb_consumer_forwarding_rules_per_producer_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/psc_ilb_consumer_forwarding_rules_per_producer_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.psc_propagated_connections_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/psc_propagated_connections_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.regional_backend_services_protocol_forwarding_fast_ha.usage
(gauge) | Current usage on quota metric compute.googleapis.com/regional_backend_services_protocol_forwarding_fast_ha. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.regional_external_managed_forwarding_rules_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/regional_external_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.regional_external_proxy_lb_config_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/regional_external_proxy_lb_config_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.regional_internal_managed_forwarding_rules_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/regional_internal_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.regional_internal_proxy_lb_config_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/regional_internal_proxy_lb_config_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.regional_network_firewall_policy_associations_per_region_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/regional_network_firewall_policy_associations_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.rule_attributes_per_global_network_firewall_policy.usage
(gauge) | Current usage on quota metric compute.googleapis.com/rule_attributes_per_global_network_firewall_policy. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.rule_attributes_per_hierarchical_firewall_policy.usage
(gauge) | Current usage on quota metric compute.googleapis.com/rule_attributes_per_hierarchical_firewall_policy. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.rule_attributes_per_regional_network_firewall_policy.usage
(gauge) | Current usage on quota metric compute.googleapis.com/rule_attributes_per_regional_network_firewall_policy. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.statera_lb_per_org_per_region_per_folder.usage
(gauge) | Current usage on quota metric compute.googleapis.com/statera_lb_per_org_per_region_per_folder. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.static_routes_per_peering_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/static_routes_per_peering_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.static_routes_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/static_routes_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.subnet_ranges_per_peering_group.usage
(gauge) | Current usage on quota metric compute.googleapis.com/subnet_ranges_per_peering_group. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.subnet_ranges_per_vpc_network.usage
(gauge) | Current usage on quota metric compute.googleapis.com/subnet_ranges_per_vpc_network. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.tpus_per_tpu_family.usage
(gauge) | Current usage on quota metric compute.googleapis.com/tpus_per_tpu_family. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.wire_groups_gold_unmetered_bandwidth_gbps.usage
(gauge) | Current usage on quota metric compute.googleapis.com/wire_groups_gold_unmetered_bandwidth_gbps. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.quota.wire_groups_per_interconnect.usage
(gauge) | Current usage on quota metric compute.googleapis.com/wire_groups_per_interconnect. After sampling, data is not visible for up to 150 seconds. |
gcp.gce.tpu.capacity.available_chips
(gauge) | The current count of TPU chips that are actively available and ready to use. |
gcp.gce.tpu.capacity.committed_chips
(gauge) | The current count of purchased TPU chips. |
gcp.gce.tpu.multislice.accelerator.device_to_host_transfer_latencies.avg
(gauge) | Cumulative distribution of device to host transfer latency for each chunk of data. A latency starts when the request for data to be transferred to the host is issued and ends when an acknowledgement is received that the transfer of data has completed.
Shown as microsecond |
gcp.gce.tpu.multislice.accelerator.host_to_device_transfer_latencies.avg
(gauge) | Cumulative distribution of host to device transfer latency for each chunk of data of multislice traffic. A latency starts when the request for data to be transferred to the device is issued and ends when an acknowledgement is received that the transfer of data has completed.
Shown as microsecond |
gcp.gce.tpu.multislice.network.collective_end_to_end_latencies.avg
(gauge) | Cumulative distribution of end to end collective latency for multislice traffic. A latency starts when the request for the collective is issued and ends when an acknowledgement is received that the transfer of data has completed.
Shown as microsecond |
gcp.gce.tpu.multislice.network.dcn_transfer_latencies.avg
(gauge) | Cumulative distribution of network-transfer latencies for multislice traffic. A latency starts when the request for data to be transferred over the DCN is issued and ends when an acknowledgement is received that the transfer of data has completed.
Shown as microsecond |
gcp.gce.tpu.multislice.network.grpc_client_call_latencies.avg
(gauge) | Cumulative distribution of network-transfer latencies for gRPC library takes to complete an RPC from the caller perspective.
Shown as microsecond |
gcp.gce.tpu.multislice.network.grpc_server_call_latencies.avg
(gauge) | Cumulative distribution of network-transfer latencies for gRPC server to complete an RPC on transport perspective.
Shown as microsecond |
gcp.gce.tpu.multislice.network.grpc_tcp_delivery_rates.avg
(gauge) | Cumulative distribution of the TCP connections data transfer rates. Each sample is the latest mean data transfer rate for a given TCP connection over the last TCP ACK interval. Samples of data transfer rates are pulled from the Linux TCP Kernel every 20s, so it can be expected that every TCP connection creates approximately 3 samples per 60s interval. |
gcp.gce.tpu.multislice.network.grpc_tcp_min_round_trip_times.avg
(gauge) | Cumulative distribution of minimum network-transfer latencies per TCP connection.
Shown as microsecond |
gcp.gce.vm_extensions.extension.cpu.max_usage
(gauge) | Max CPU time used by the VM extension in percentage.
Shown as percent |
gcp.gce.vm_extensions.extension.enforcement_status
(gauge) | Current enforcement state of a VM extension. A point is True if the extension is in the specified state. |
gcp.gce.vm_extensions.extension.health_status
(gauge) | Current health status of a VM extension. A point is True if the extension is in the specified health state. |
gcp.gce.vm_extensions.extension.memory.used_bytes
(gauge) | Max memory usage of the VM extension in bytes.
Shown as byte |
gcp.gce.workload.available_slice_efficiency
(gauge) | Out of all the requested slices, how many are healthy from the perspective of the elastic manager in the requested window (CUMULATIVE) or over a rolling window (INTERVAL). |
gcp.gce.workload.badput_time
(gauge) | This is a writable metric that allows users to report the total time (in seconds) their workload spend on a specific non-productive activity. Values reported to this metric are visible to the Google Cloud team. Providing this value helps the Google Cloud team understand workload inefficiencies and how they are affected by infrastructure changes. The reported value represents time spent on a specific non-productive task in ML workloads.
Shown as second |
gcp.gce.workload.disruptions
(gauge) | This is a writable metric that allows users to report the number of disruptions in the workload since it started (CUMULATIVE) or over a rolling window (INTERVAL). |
gcp.gce.workload.goodput_time
(gauge) | This is a writable metric that allows users to report the total time (in seconds) their workload spends on a specific productive activity. Values reported to this metric are visible to the Google Cloud team. Providing this value helps the Google Cloud team understand how user workloads respond to changes in Google Cloud infrastructure. The reported value represents the absolute time spent on a specific useful, value-generating task in ML workloads.
Shown as second |
gcp.gce.workload.interval_badput
(gauge) | This is a writable metric that allows users to report the badput of the workload over a rolling window as percentage of the total time in the window.
Shown as percent |
gcp.gce.workload.interval_goodput
(gauge) | This is a writable metric that allows users to report the goodput of the workload over a rolling window as percentage of the total time in the window.
Shown as percent |
gcp.gce.workload.max_productive_steps
(gauge) | This is a writable metric that allows users to report the last productive step count completed by the workload. |
gcp.gce.workload.performance
(gauge) | This is a writable metric that allows users to report the performance of their workload. Values reported to this metric is visible to Google Cloud team. Providing this value helps Google Cloud team understanding user workload react to different changes to the Google Cloud infrastructure. The performance value is a numeric value that is up to the user to define its range. For eg: It could be the training step time in seconds or ratio of expected performance of the workload. |
gcp.gce.workload.step_time_deviation
(gauge) | This is a writable metric that allows users to report the step time deviation experienced by the workload from the expected step time.
Shown as second |
gcp.gce.workload.stepping_slice_efficiency
(gauge) | Out of all the requested slices, how many are used in stepping in the requested window (CUMULATIVE) or over a rolling window (INTERVAL). |
gcp.gce.workload.total_elapsed_time
(gauge) | This is a writable metric that allows users to report the total elapsed time of the workload since it started (CUMULATIVE) or over a rolling window (INTERVAL).
Shown as second |
gcp.gce.workload_process.heartbeat
(gauge) | This is the heartbeat of a process that is part of a workload. A non zero value indicates the workload is alive. |
