taxonomy_id: operator_visible_datacenter_observables version: "2026-05-15" status: observables_only_value_level_rebuild purpose: > Independent inventory of raw or source-emitted observables for large training-run verification on monitored accelerator clusters. The inventory lists observable data surfaces and feature values only. methodology: organization: "One OXX-numbered list of positive observable surfaces." use_case: > Datacenter-observable activity, capability, timing, physical-state, resource-use, and data-movement values inside a monitored boundary. value_shape_policy: > Feature values may be scalar time series, labeled count/rate tables, coherent interval lists, or coherent event lists. Each value_schema lists allowed feature value fields. Join keys, source record identifiers, source URLs, exact asset IDs, administrative IDs, and ticket IDs are implementation metadata outside the observable feature value. temporal_policy: feature_temporal_kind_required: true sample: "Point or periodic measurement with `sample_time`." interval: "Value or state observed over a bounded window with `start_time` and `end_time`." event: "Discrete source-emitted event with `event_time`." validity_interval: "Capability, inventory, shape, or configuration state valid from `valid_from` until `valid_to`." reference: "Source-backed reference value without operational event time; source versioning and retrieval metadata are implementation metadata." scope_policy: monitored_unit: > Accelerator cluster, topology domain, rack-scale system, cloud placement pool, provider-controlled capacity pool, or multi-site operator boundary over a defined observation window. include_if: > The value is directly observed or source-emitted by a datacenter owner, facility operator, cluster operator, cloud provider, storage/network operator, monitoring system, or site-specific public/out-of-band source, and it describes infrastructure activity, capability, timing, physical state, resource use, or data movement. access_contexts: public_or_out_of_band: "Site-specific public records, utility context, electrical permits, service records, and asset timing." facility_operator: "Facility, rack, PDU, cooling, physical-security, BMS, DCIM, BMC, and change-management records." cluster_operator: "Scheduler, orchestrator, accelerator telemetry, fabric, storage, monitoring, and maintenance records visible to a cluster operator." cloud_provider_control_plane: "Provider records for compute provisioning, capacity reservation, placement, billing, audit, networking, and storage." host_or_orchestrator_resource: "Host, VM, pod, container, cgroup, and infrastructure-only resource quantities." storage_network_operator: "Filesystem, object-store, block, backup, replication, flow, fabric, route, and network-operation values." observables: - id: O01 name: Accelerator inventory, capacity, partitioning, and device state access_contexts: [facility_operator, cluster_operator, cloud_provider_control_plane] source_refs: [nvidia_smi, nvidia_dcgm_exporter, amd_smi, google_tpu_monitoring, aws_neuron_container_insights, slurm_gres, kubernetes_device_plugins, redfish_schema_guide] include: "Accelerator counts, capacity values, source-reported partitioning intervals, and device state values." features: - id: accelerator_count_by_family_sku units: labeled_count_table temporal_kind: validity_interval description: "Count accelerators by family, SKU, memory class, and form factor." value_schema: fields: - {name: valid_from, type: timestamp} - {name: valid_to, type: timestamp} - {name: accelerator_family, type: categorical} - {name: accelerator_sku, type: categorical} - {name: memory_class, type: categorical} - {name: form_factor, type: categorical} - {name: count, type: integer, units: accelerators} - id: memory_capacity_bytes units: bytes temporal_kind: sample description: "Source-reported accelerator device memory capacity." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: integer, units: bytes} - id: memory_bandwidth_bytes_per_sec units: bytes_per_second temporal_kind: sample description: "Source-reported accelerator memory-bandwidth capability." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: bytes_per_second} - id: advertised_peak_rate_by_precision units: labeled_rate_table temporal_kind: validity_interval description: "Source-backed peak compute rate by precision or source-reported mode." value_schema: fields: - {name: valid_from, type: timestamp} - {name: valid_to, type: timestamp} - {name: precision_or_mode, type: categorical} - {name: peak_rate, type: number, units: operations_per_second} - id: accelerator_partitioning_intervals units: interval_list temporal_kind: interval description: "Intervals with start/end time, partition type, slice profile, logical partition count, and sharing mode." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: partition_type, type: categorical} - {name: slice_profile, type: categorical} - {name: logical_partition_count, type: integer} - {name: sharing_mode, type: categorical} - id: accelerator_power_cap_watts units: watts temporal_kind: sample description: "Source-reported accelerator power cap or configured power limit." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: watts} - id: accelerator_core_clock_hz units: hertz temporal_kind: sample description: "Source-reported accelerator core clock." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: hertz} - id: accelerator_memory_clock_hz units: hertz temporal_kind: sample description: "Source-reported accelerator memory clock." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: hertz} - id: accelerator_p_state units: categorical_time_series temporal_kind: sample description: "Source-reported accelerator performance state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: categorical} - id: accelerator_throttle_state units: categorical_time_series temporal_kind: sample description: "Source-reported throttle state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: categorical} - id: accelerator_performance_limit_state units: categorical_time_series temporal_kind: sample description: "Source-reported performance-limit state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: categorical} - id: inventory_lifecycle_events units: event_list temporal_kind: event description: "Events with event time, inventory event type, asset category, and asset count." value_schema: fields: - {name: event_time, type: timestamp} - {name: inventory_event_type, type: categorical} - {name: asset_category, type: categorical} - {name: asset_count, type: integer} - id: accelerator_health_error_state units: counters_and_state temporal_kind: sample description: "Source-reported device health, error, reset, link-error, throttle, and degraded-state counters." value_schema: fields: - {name: sample_time, type: timestamp} - {name: ecc_error_count, type: integer} - {name: retired_page_count, type: integer} - {name: xid_or_equivalent_error_count, type: integer} - {name: reset_count, type: integer} - {name: link_error_count, type: integer} - {name: throttle_event_count, type: integer} - {name: degraded_state, type: boolean_or_categorical} - id: O02 name: Accelerator topology and interconnect capability access_contexts: [cluster_operator, cloud_provider_control_plane, storage_network_operator] source_refs: [nvidia_ufm_telemetry, nvidia_ufm_port_counters, aws_efa, kubernetes_device_plugins, slurm_gres, google_vpc_flow_logs] include: "Local, scale-out, and cross-site fabric capability values and source-reported topology changes." features: - id: local_accelerator_interconnect_domain units: capability_table temporal_kind: validity_interval description: "Local fabric type, local fabric bandwidth, and local fabric device count." value_schema: fields: - {name: valid_from, type: timestamp} - {name: valid_to, type: timestamp} - {name: local_fabric_type, type: categorical} - {name: local_fabric_bandwidth_gbps, type: number, units: gigabits_per_second} - {name: local_fabric_device_count, type: integer} - id: scaleout_fabric_domain_graph units: capability_table temporal_kind: validity_interval description: "Scale-out fabric type, node count, link count, link bandwidth, and switch count." value_schema: fields: - {name: valid_from, type: timestamp} - {name: valid_to, type: timestamp} - {name: scaleout_fabric_type, type: categorical} - {name: node_count, type: integer} - {name: link_count, type: integer} - {name: link_bandwidth_gbps, type: number, units: gigabits_per_second} - {name: switch_count, type: integer} - id: cross_site_or_dci_connectivity units: link_capability_state temporal_kind: sample description: "Cross-site link type, link capacity, and service state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: link_type, type: categorical} - {name: link_capacity_gbps, type: number, units: gigabits_per_second} - {name: service_state, type: categorical} - id: topology_change_events units: event_list temporal_kind: event description: "Events with event time, topology change type, affected asset category, and affected link or port count." value_schema: fields: - {name: event_time, type: timestamp} - {name: topology_change_type, type: categorical} - {name: affected_asset_category, type: categorical} - {name: affected_link_or_port_count, type: integer} - id: O03 name: Scheduler allocation and reservation activity access_contexts: [cluster_operator, host_or_orchestrator_resource] source_refs: [slurm_sacct, slurm_gres, kubernetes_device_plugins, kubernetes_events, kubernetes_audit] include: "Non-semantic allocation, reservation, and preemption values." features: - id: allocated_accelerator_count_by_sku units: labeled_count_table temporal_kind: interval description: "Allocated accelerator count by SKU, profile, or physical/logical partition." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: accelerator_sku, type: categorical} - {name: accelerator_profile, type: categorical} - {name: partition_scope, type: categorical} - {name: count, type: integer, units: accelerators} - id: reservation_state_intervals units: interval_list temporal_kind: interval description: "Reservation intervals with start/end time, reservation state, directly recorded capacity count, and accelerator shape or SKU." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: reservation_state, type: categorical} - {name: reservation_capacity_count, type: integer} - {name: accelerator_shape_or_sku, type: categorical} - id: allocation_preemption_events units: event_list temporal_kind: event description: "Events with event time, preempted resource count, and resource type when directly recorded." value_schema: fields: - {name: event_time, type: timestamp} - {name: preempted_resource_count, type: integer} - {name: resource_type, type: categorical} - id: O04 name: Cloud compute, capacity reservation, quota, and billing activity access_contexts: [cloud_provider_control_plane] source_refs: [aws_cloudtrail, aws_cur, aws_ec2_capacity_blocks, aws_efa, google_cloud_audit_logs, google_cloud_billing_export, azure_monitor_vm] include: "Provider-side accelerated compute shape, running interval, reservation, quota, capacity-exception, and accelerator billing values." features: - id: instance_type_shape_machine_type units: capability_table temporal_kind: validity_interval description: "Compute shape, accelerator type, accelerator count, and bare-metal state." value_schema: fields: - {name: valid_from, type: timestamp} - {name: valid_to, type: timestamp} - {name: instance_shape, type: categorical} - {name: accelerator_type, type: categorical} - {name: accelerator_count, type: integer} - {name: bare_metal, type: boolean} - id: compute_running_intervals units: interval_list temporal_kind: interval description: "Intervals during which accelerator-bearing compute resources were running, with directly recorded state, accelerator count, and accelerator shape or SKU when available." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: compute_resource_state, type: categorical} - {name: accelerator_count, type: integer} - {name: accelerator_shape_or_sku, type: categorical} - id: capacity_reservation_intervals units: interval_list temporal_kind: interval description: "Reservation intervals with start/end time, reservation state, reserved accelerator count, and accelerator shape or SKU." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: reservation_state, type: categorical} - {name: reserved_accelerator_count, type: integer} - {name: accelerator_shape_or_sku, type: categorical} - id: quota_limit_intervals units: interval_list temporal_kind: interval description: "Quota intervals with start/end time, quota resource type, and quota limit value." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: quota_resource_type, type: categorical} - {name: quota_limit_value, type: number} - {name: quota_limit_unit, type: categorical} - id: capacity_exception_events units: event_list temporal_kind: event description: "Events with event time, capacity exception type, requested resource count, and resource type when directly recorded." value_schema: fields: - {name: event_time, type: timestamp} - {name: capacity_exception_type, type: categorical} - {name: requested_resource_count, type: integer} - {name: resource_type, type: categorical} - id: accelerator_compute_billing_usage_intervals units: interval_list temporal_kind: interval description: "Accelerator-bearing compute usage intervals with usage quantity, usage unit, accelerator shape or SKU, and billing usage type." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: usage_quantity, type: number} - {name: usage_unit, type: categorical} - {name: accelerator_shape_or_sku, type: categorical} - {name: billing_usage_type, type: categorical} - id: accelerator_reservation_billing_usage_intervals units: interval_list temporal_kind: interval description: "Accelerator-capacity reservation usage intervals with usage quantity, usage unit, accelerator shape or SKU, and billing usage type." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: usage_quantity, type: number} - {name: usage_unit, type: categorical} - {name: accelerator_shape_or_sku, type: categorical} - {name: billing_usage_type, type: categorical} - id: O05 name: Accelerator activity, memory, thermal, and health telemetry access_contexts: [cluster_operator, cloud_provider_control_plane] source_refs: [nvidia_dcgm_exporter, nvidia_smi, amd_smi, google_tpu_monitoring, aws_neuron_container_insights, google_compute_gpu_monitoring] include: "Generic source-reported accelerator utilization, memory, thermal, clock, limit-state, and health telemetry." features: - id: accelerator_busy_or_utilization_fraction units: fraction temporal_kind: sample description: "Reported device busy, utilization, duty cycle, or equivalent accelerator activity fraction." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: fraction} - id: tensor_matrix_mxu_neuron_or_engine_active_fraction units: fraction temporal_kind: sample description: "Generic compute-engine active fraction such as tensor, matrix, MXU, Neuron, SM, or accelerator-engine active time." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: fraction} - {name: engine_scope, type: categorical} - id: hbm_or_device_memory_used units: bytes temporal_kind: sample description: "Source-reported device memory used, free, allocated, or high-water value." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: integer, units: bytes} - {name: memory_value_type, type: categorical} - id: memory_bandwidth_or_dram_active units: bytes_per_second_or_fraction temporal_kind: sample description: "Source-reported memory bandwidth, DRAM/HBM active fraction, or equivalent memory activity." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number} - {name: unit, type: categorical} - {name: memory_activity_type, type: categorical} - id: accelerator_temperature_celsius units: degrees_celsius temporal_kind: sample description: "Source-reported accelerator, HBM, board, or component temperature." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: degrees_celsius} - {name: temperature_scope, type: categorical} - id: accelerator_power_limit_active units: boolean_or_categorical_time_series temporal_kind: sample description: "Source-reported power-limit active state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: boolean_or_categorical} - id: accelerator_thermal_limit_active units: boolean_or_categorical_time_series temporal_kind: sample description: "Source-reported thermal-limit active state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: boolean_or_categorical} - id: O06 name: Direct achieved-operation counters access_contexts: [cluster_operator, cloud_provider_control_plane] source_refs: [nvidia_dcgm_exporter, google_tpu_monitoring, aws_neuron_container_insights, amd_smi] include: "Achieved-operation counters only when directly emitted by hardware or provider telemetry." features: - id: generic_achieved_operation_rate units: operations_per_second temporal_kind: sample description: "Directly source-emitted operation, matrix-engine, FLOP-like, or accelerator throughput rate." value_schema: fields: - {name: sample_time, type: timestamp} - {name: operation_rate, type: number, units: operations_per_second} - {name: operation_unit, type: categorical} - {name: counter_scope, type: categorical} - id: O07 name: Local accelerator interconnect telemetry access_contexts: [cluster_operator, cloud_provider_control_plane] source_refs: [nvidia_dcgm_exporter, nvidia_smi, amd_smi] include: "Local accelerator interconnect byte counters and link state telemetry." features: - id: local_interconnect_tx_rx_bytes units: bytes temporal_kind: sample description: "Local accelerator fabric transmit and receive bytes." value_schema: fields: - {name: sample_time, type: timestamp} - {name: tx_bytes, type: integer, units: bytes} - {name: rx_bytes, type: integer, units: bytes} - id: local_link_error_recovery_throttle units: counters_and_events temporal_kind: sample description: "Local link errors, recovery events, degraded link state, replay counters, and fabric throttling." value_schema: fields: - {name: sample_time, type: timestamp} - {name: link_error_count, type: integer} - {name: recovery_event_count, type: integer} - {name: degraded_link_state, type: boolean_or_categorical} - {name: replay_count, type: integer} - {name: throttle_state, type: boolean_or_categorical} - id: O08 name: Scale-out fabric and high-performance network telemetry access_contexts: [cluster_operator, cloud_provider_control_plane, storage_network_operator] source_refs: [nvidia_ufm_telemetry, nvidia_ufm_port_counters, aws_efa, aws_vpc_flow_logs, google_vpc_flow_logs] include: "Scale-out fabric, NIC, switch, and high-performance network counters." features: - id: scaleout_port_tx_rx_bytes_packets units: bytes_and_packets temporal_kind: sample description: "Port, NIC, switch, queue, or fabric transmit/receive bytes and packets." value_schema: fields: - {name: sample_time, type: timestamp} - {name: tx_bytes, type: integer, units: bytes} - {name: rx_bytes, type: integer, units: bytes} - {name: tx_packets, type: integer, units: packets} - {name: rx_packets, type: integer, units: packets} - id: rdma_congestion_retry_drop_error_counters units: counters_and_events temporal_kind: sample description: "RDMA/fabric congestion, retry, drop, retransmit, PFC/ECN, link-error, and XmitWait-like counters." value_schema: fields: - {name: sample_time, type: timestamp} - {name: congestion_event_count, type: integer} - {name: retry_count, type: integer} - {name: drop_count, type: integer} - {name: retransmit_count, type: integer} - {name: pfc_or_ecn_count, type: integer} - {name: link_error_count, type: integer} - {name: xmit_wait_time, type: number} - id: fabric_port_device_sample_counters units: counters_by_sample temporal_kind: sample description: "Per-sample fabric counters for ports, devices, racks, or monitored site scopes." value_schema: fields: - {name: sample_time, type: timestamp} - {name: counter_name, type: categorical} - {name: counter_value, type: number} - {name: counter_unit, type: categorical} - {name: monitored_scope_category, type: categorical} - id: O09 name: General network, egress, gateway, and data-center interconnect telemetry access_contexts: [cloud_provider_control_plane, storage_network_operator] source_refs: [aws_vpc_flow_logs, google_vpc_flow_logs, azure_nsg_flow_logs, aws_cloudtrail, google_cloud_audit_logs] include: "Flow, byte, connection, route, gateway, and cross-site traffic values." features: - id: vpc_or_nsg_flow_records units: flow_records temporal_kind: interval description: "Flow records with time window, action/state, bytes, packets, direction, interface class, and network scope." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: flow_action_or_state, type: categorical} - {name: bytes, type: integer, units: bytes} - {name: packets, type: integer, units: packets} - {name: direction, type: categorical} - {name: interface_class, type: categorical} - {name: network_scope, type: categorical} - id: east_west_internal_flow_bytes units: bytes_and_counts temporal_kind: interval description: "Internal network flow bytes and counts across accelerator nodes, storage systems, and service endpoints." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: bytes, type: integer, units: bytes} - {name: flow_count, type: integer} - id: north_south_external_egress units: bytes_and_counts temporal_kind: interval description: "External egress and ingress byte/count values for monitored infrastructure boundaries." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: bytes, type: integer, units: bytes} - {name: flow_count, type: integer} - {name: direction, type: categorical} - id: data_center_interconnect_wan_usage units: bytes_and_counts temporal_kind: interval description: "Private-line, cloud-interconnect, cross-site, metro, WAN, or federation traffic for monitored sites." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: bytes, type: integer, units: bytes} - {name: flow_count, type: integer} - {name: link_class, type: categorical} - id: load_balancer_gateway_flow_activity units: connections_and_bytes temporal_kind: interval description: "Provider-operated load balancer or gateway connection and byte activity at infrastructure scope." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: connection_count, type: integer} - {name: bytes, type: integer, units: bytes} - id: network_gateway_nat_route_state units: events_and_state temporal_kind: event description: "NAT, gateway, route, firewall, security group, and route-change state affecting flow records." value_schema: fields: - {name: event_time, type: timestamp} - {name: network_control_type, type: categorical} - {name: state_event_type, type: categorical} - {name: state, type: categorical} - id: O10 name: Storage, filesystem, cache, and data-movement activity access_contexts: [storage_network_operator, cloud_provider_control_plane, cluster_operator] source_refs: [aws_s3_server_access_logs, aws_fsx_lustre_metrics, google_cloud_audit_logs, aws_cloudtrail] include: "Storage timing, bytes, operation counts, cache counters, and coherent storage-operation intervals." features: - id: storage_read_operation_bytes units: bytes_and_operations temporal_kind: interval description: "Read operation counts and read byte counts by time window and storage scope." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: read_operation_count, type: integer} - {name: read_bytes, type: integer, units: bytes} - id: storage_write_operation_bytes units: bytes_and_operations temporal_kind: interval description: "Write operation counts and write byte counts by time window and storage scope." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: write_operation_count, type: integer} - {name: write_bytes, type: integer, units: bytes} - id: filesystem_throughput_metadata_ops units: bytes_per_second_and_operations temporal_kind: sample description: "Filesystem read/write throughput, metadata operation counts, queueing, and client I/O values." value_schema: fields: - {name: sample_time, type: timestamp} - {name: read_bytes_per_sec, type: number, units: bytes_per_second} - {name: write_bytes_per_sec, type: number, units: bytes_per_second} - {name: metadata_operation_count, type: integer} - {name: queue_depth, type: number} - {name: client_io_operation_count, type: integer} - id: cache_hit_miss_counters units: counts temporal_kind: interval description: "Object cache, filesystem cache, or local SSD staging hit/miss and access counters." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: cache_hit_count, type: integer} - {name: cache_miss_count, type: integer} - {name: access_count, type: integer} - id: object_storage_operation_counts units: bytes_and_counts temporal_kind: interval description: "Object-store operation counts, distinct object counts when directly available, and transferred bytes by time window and operation type." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: operation_type, type: categorical} - {name: operation_count, type: integer} - {name: object_count, type: integer} - {name: bytes, type: integer, units: bytes} - {name: object_count_type, type: categorical} - id: storage_operation_intervals units: interval_list temporal_kind: interval description: "Storage backup, restore, migration, rebuild, replication, or disaster-recovery intervals with operation type and bytes moved when directly recorded." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: operation_type, type: categorical} - {name: bytes_moved, type: integer, units: bytes} - id: object_or_file_copy_movement_records units: bytes_and_routes temporal_kind: interval description: "Object or file copy/movement values measured by bytes, route class, and timing." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: operation_type, type: categorical} - {name: bytes_moved, type: integer, units: bytes} - {name: route_class, type: categorical} - id: O11 name: Rack, server, PDU, facility power, and energy telemetry access_contexts: [facility_operator, cluster_operator, cloud_provider_control_plane] source_refs: [redfish_standard, redfish_schema_guide, nvidia_dcgm_exporter, nvidia_smi] include: "Power and energy readings from devices, servers, racks, rooms, and facility power infrastructure." features: - id: accelerator_device_power_energy units: watts_and_joules temporal_kind: sample description: "Device-reported power and energy as a paired physical activity time series." value_schema: fields: - {name: sample_time, type: timestamp} - {name: power_watts, type: number, units: watts} - {name: energy_joules, type: number, units: joules} - id: server_system_input_power units: watts temporal_kind: sample description: "Server, tray, rack-scale system, or BMC input power." value_schema: fields: - {name: sample_time, type: timestamp} - {name: power_watts, type: number, units: watts} - id: rack_pdu_it_power units: watts_and_joules temporal_kind: sample description: "Rack PDU, busway, breaker, or rack-level IT power and energy." value_schema: fields: - {name: sample_time, type: timestamp} - {name: power_watts, type: number, units: watts} - {name: energy_joules, type: number, units: joules} - id: facility_or_room_it_power_rollup units: watts_and_joules temporal_kind: sample description: "UPS, switchgear, room, pod, row, or facility IT power rollup for the monitored boundary." value_schema: fields: - {name: sample_time, type: timestamp} - {name: power_watts, type: number, units: watts} - {name: energy_joules, type: number, units: joules} - {name: facility_scope_category, type: categorical} - id: power_cap_violation_throttle_state units: events_and_state temporal_kind: event description: "Source-reported power cap, throttle, limit-violation, and performance-limit events." value_schema: fields: - {name: event_time, type: timestamp} - {name: power_cap_watts, type: number, units: watts} - {name: throttle_state, type: boolean_or_categorical} - {name: limit_violation_state, type: boolean_or_categorical} - {name: performance_limit_state, type: boolean_or_categorical} - id: O12 name: Cooling, airflow, thermal, and environmental telemetry access_contexts: [facility_operator, cluster_operator] source_refs: [redfish_standard, redfish_schema_guide, nvidia_dcgm_exporter, nvidia_smi] include: "Cooling, airflow, environmental, and control-state values for monitored devices and facility scopes." features: - id: inlet_outlet_air_or_coolant_temperature units: degrees_celsius temporal_kind: sample description: "Rack/server inlet/outlet, liquid inlet/outlet, rear-door, CDU, and heat-exchanger temperatures." value_schema: fields: - {name: sample_time, type: timestamp} - {name: inlet_temperature_celsius, type: number, units: degrees_celsius} - {name: outlet_temperature_celsius, type: number, units: degrees_celsius} - {name: temperature_scope, type: categorical} - id: coolant_flow_rate units: flow_rate temporal_kind: sample description: "Source-reported coolant flow rate." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number} - {name: unit, type: categorical} - id: coolant_pressure units: pressure temporal_kind: sample description: "Source-reported coolant pressure." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number} - {name: unit, type: categorical} - id: pump_speed_or_state units: rpm_percent_or_categorical temporal_kind: sample description: "Source-reported pump speed or pump state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: pump_speed, type: number} - {name: pump_speed_unit, type: categorical} - {name: pump_state, type: categorical} - id: valve_position_or_state units: percent_or_categorical temporal_kind: sample description: "Source-reported valve position or valve state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: valve_position_percent, type: number, units: percent} - {name: valve_state, type: categorical} - id: cooling_alarm_state units: boolean_or_categorical_time_series temporal_kind: sample description: "Source-reported cooling alarm state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: boolean_or_categorical} - id: fan_speed_rpm_or_percent units: rpm_or_percent temporal_kind: sample description: "Source-reported fan speed." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number} - {name: unit, type: categorical} - id: airflow_rate units: airflow_rate temporal_kind: sample description: "Source-reported airflow rate." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number} - {name: unit, type: categorical} - id: thermal_control_mode units: categorical_time_series temporal_kind: sample description: "Source-reported thermal or cooling control mode." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: categorical} - id: source_reported_airflow_state units: categorical_time_series temporal_kind: sample description: "Source-reported airflow state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: categorical} - id: outdoor_air_temperature_celsius units: degrees_celsius temporal_kind: sample description: "Source-reported outdoor air temperature for the site or facility scope." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: degrees_celsius} - id: outdoor_humidity_percent units: percent temporal_kind: sample description: "Source-reported outdoor humidity for the site or facility scope." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: percent} - id: hvac_control_mode units: categorical_time_series temporal_kind: sample description: "Source-reported HVAC control mode." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: categorical} - id: economizer_state units: categorical_time_series temporal_kind: sample description: "Source-reported economizer state." value_schema: fields: - {name: sample_time, type: timestamp} - {name: state, type: categorical} - id: facility_temperature_setpoint_celsius units: degrees_celsius temporal_kind: sample description: "Source-reported facility temperature setpoint, when available." value_schema: fields: - {name: sample_time, type: timestamp} - {name: value, type: number, units: degrees_celsius} - id: O13 name: Host, VM, container, and cgroup resource activity access_contexts: [host_or_orchestrator_resource, cluster_operator, cloud_provider_control_plane] source_refs: [kubernetes_device_plugins, kubernetes_events, kubernetes_audit, aws_neuron_container_insights, azure_monitor_vm] include: "Non-semantic resource request, limit, usage, and resource-container lifecycle values." features: - id: container_resource_request_quantity units: resource_quantity temporal_kind: sample description: "Requested resource quantity by resource type, unit, and sample/window time." value_schema: fields: - {name: sample_time, type: timestamp} - {name: resource_type, type: categorical} - {name: quantity, type: number} - {name: unit, type: categorical} - id: container_resource_limit_quantity units: resource_quantity temporal_kind: sample description: "Resource limit quantity by resource type, unit, and sample/window time." value_schema: fields: - {name: sample_time, type: timestamp} - {name: resource_type, type: categorical} - {name: quantity, type: number} - {name: unit, type: categorical} - id: container_resource_usage_quantity units: resource_quantity temporal_kind: sample description: "Observed resource usage quantity by resource type, unit, and sample/window time." value_schema: fields: - {name: sample_time, type: timestamp} - {name: resource_type, type: categorical} - {name: quantity, type: number} - {name: unit, type: categorical} - id: resource_container_lifecycle_events units: event_list temporal_kind: event description: "Events with event time, lifecycle event type, and resource-container count." value_schema: fields: - {name: event_time, type: timestamp} - {name: lifecycle_event_type, type: categorical} - {name: resource_container_count, type: integer} - id: O14 name: Operator maintenance, change, and physical-access intervals access_contexts: [cluster_operator, facility_operator, storage_network_operator] source_refs: [slurm_sacct, redfish_standard, redfish_schema_guide, aws_fsx_lustre_metrics] include: "Coarse operator/facility event values that can affect capacity, topology, telemetry, storage, power, cooling, or physical state." features: - id: maintenance_operation_intervals units: interval_list temporal_kind: interval description: "Maintenance intervals with start/end time, maintenance type, status, affected asset category/count, and old/new version values only when directly recorded." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: maintenance_type, type: categorical} - {name: maintenance_status, type: categorical} - {name: affected_asset_category, type: categorical} - {name: affected_asset_count, type: integer} - {name: old_version, type: categorical} - {name: new_version, type: categorical} - id: physical_access_events units: event_list temporal_kind: event description: "Events with event time, access scope category, access event type, and access count or state." value_schema: fields: - {name: event_time, type: timestamp} - {name: access_scope_category, type: categorical} - {name: access_event_type, type: categorical} - {name: access_count_or_state, type: integer_or_categorical} - id: O15 name: Site-specific utility, electrical, and asset timing records access_contexts: [public_or_out_of_band, facility_operator] source_refs: [epoch_frontier_datacenters, redfish_schema_guide] include: "Site-specific external or facility records with concrete utility, electrical, and asset-timing values for an already identified monitored site." features: - id: utility_interconnection_status_intervals units: interval_list temporal_kind: interval description: "Interconnection intervals with start/end time, status, requested load, contracted load, voltage, and service class when directly recorded." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: interconnection_status, type: categorical} - {name: requested_load_mw, type: number, units: megawatts} - {name: contracted_load_mw, type: number, units: megawatts} - {name: voltage_kv, type: number, units: kilovolts} - {name: service_class, type: categorical} - id: electrical_service_status_intervals units: interval_list temporal_kind: interval description: "Electrical service or energization intervals with start/end time, service status, capacity, voltage, and service class when directly recorded." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: service_status, type: categorical} - {name: service_capacity_mw, type: number, units: megawatts} - {name: service_capacity_mva, type: number, units: megavolt_amperes} - {name: service_voltage_kv, type: number, units: kilovolts} - {name: service_class, type: categorical} - id: electrical_permit_status_intervals units: interval_list temporal_kind: interval description: "Electrical permit intervals with start/end time, permit status, equipment type, and permitted capacity/voltage values when directly recorded." value_schema: fields: - {name: start_time, type: timestamp} - {name: end_time, type: timestamp} - {name: permit_status, type: categorical} - {name: electrical_equipment_type, type: categorical} - {name: permitted_transformer_mva, type: number, units: megavolt_amperes} - {name: permitted_switchgear_mva, type: number, units: megavolt_amperes} - {name: permitted_service_mw, type: number, units: megawatts} - {name: permitted_service_mva, type: number, units: megavolt_amperes} - {name: permitted_voltage_kv, type: number, units: kilovolts} - id: asset_receiving_installation_events units: event_list temporal_kind: event description: "Receipt or installation events with event time, event type, asset category, and asset quantity." value_schema: fields: - {name: event_time, type: timestamp} - {name: event_type, type: categorical} - {name: asset_category, type: categorical} - {name: asset_quantity, type: integer}