관리-도구

편집 파일: machine_learning.yaml

---
display_name: Azure Machine Learning Workspace
resource_type: Microsoft.MachineLearningServices/workspaces
metrics:
  - id: agents
    azure_name: Agents
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: indexed_files
    azure_name: IndexedFiles
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: messages
    azure_name: Messages
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: runs
    azure_name: Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: threads
    azure_name: Threads
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: tokens
    azure_name: Tokens
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: tool_calls
    azure_name: ToolCalls
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: model_deploy_failed
    azure_name: Model Deploy Failed
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: model_deploy_started
    azure_name: Model Deploy Started
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: model_deploy_succeeded
    azure_name: Model Deploy Succeeded
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: model_register_failed
    azure_name: Model Register Failed
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: model_register_succeeded
    azure_name: Model Register Succeeded
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: active_cores
    azure_name: Active Cores
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: idle_cores
    azure_name: Idle Cores
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: leaving_cores
    azure_name: Leaving Cores
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: preempted_cores
    azure_name: Preempted Cores
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: unusable_cores
    azure_name: Unusable Cores
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: total_cores
    azure_name: Total Cores
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: active_nodes
    azure_name: Active Nodes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: idle_nodes
    azure_name: Idle Nodes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: leaving_nodes
    azure_name: Leaving Nodes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: preempted_nodes
    azure_name: Preempted Nodes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: unusable_nodes
    azure_name: Unusable Nodes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: total_nodes
    azure_name: Total Nodes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: quota_utilization_percentage
    azure_name: Quota Utilization Percentage
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: cpu_utilization
    azure_name: CpuUtilization
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: cpu_utilization_percentage
    azure_name: CpuUtilizationPercentage
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: cpu_utilization_millicores
    azure_name: CpuUtilizationMillicores
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: cpu_capacity_millicores
    azure_name: CpuCapacityMillicores
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: cpu_memory_utilization_percentage
    azure_name: CpuMemoryUtilizationPercentage
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: cpu_memory_utilization_megabytes
    azure_name: CpuMemoryUtilizationMegabytes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: cpu_memory_capacity_megabytes
    azure_name: CpuMemoryCapacityMegabytes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_utilization
    azure_name: GpuUtilization
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_utilization_percentage
    azure_name: GpuUtilizationPercentage
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_utilization_milli_gpus
    azure_name: GpuUtilizationMilliGPUs
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_capacity_milli_gpus
    azure_name: GpuCapacityMilliGPUs
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_memory_utilization
    azure_name: GpuMemoryUtilization
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_memory_utilization_percentage
    azure_name: GpuMemoryUtilizationPercentage
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_memory_utilization_megabytes
    azure_name: GpuMemoryUtilizationMegabytes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_memory_capacity_megabytes
    azure_name: GpuMemoryCapacityMegabytes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: gpu_energy_joules
    azure_name: GpuEnergyJoules
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: disk_used_megabytes
    azure_name: DiskUsedMegabytes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: disk_avail_megabytes
    azure_name: DiskAvailMegabytes
    time_grain: PT1M
    series:
      - aggregation: average
        kind: gauge
  - id: disk_read_megabytes
    azure_name: DiskReadMegabytes
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: disk_write_megabytes
    azure_name: DiskWriteMegabytes
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: network_input_megabytes
    azure_name: NetworkInputMegabytes
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: network_output_megabytes
    azure_name: NetworkOutputMegabytes
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: ib_receive_megabytes
    azure_name: IBReceiveMegabytes
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: ib_transmit_megabytes
    azure_name: IBTransmitMegabytes
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: storage_api_success_count
    azure_name: StorageAPISuccessCount
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: storage_api_failure_count
    azure_name: StorageAPIFailureCount
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: not_started_runs
    azure_name: Not Started Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: starting_runs
    azure_name: Starting Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: preparing_runs
    azure_name: Preparing Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: provisioning_runs
    azure_name: Provisioning Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: queued_runs
    azure_name: Queued Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: started_runs
    azure_name: Started Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: completed_runs
    azure_name: Completed Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: failed_runs
    azure_name: Failed Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: cancelled_runs
    azure_name: Cancelled Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: cancel_requested_runs
    azure_name: Cancel Requested Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: finalizing_runs
    azure_name: Finalizing Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: not_responding_runs
    azure_name: Not Responding Runs
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: errors
    azure_name: Errors
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
  - id: warnings
    azure_name: Warnings
    time_grain: PT1M
    series:
      - aggregation: total
        kind: counter
template:
  family: Azure Machine Learning Workspace
  context_namespace: machine_learning
  chart_defaults:
    label_promotion:
      - resource_name
      - resource_group
      - region
      - resource_type
      - profile
    instances:
      by_labels:
        - resource_uid
  charts:
    - id: am_azure_machine_learning__agent_events
      title: Azure Machine Learning Agent Events
      context: agent_events
      family: Agents
      type: line
      units: events/s
      algorithm: incremental
      dimensions:
        - selector: agents_total
          name: agent_events
        - selector: threads_total
          name: thread_events
    - id: am_azure_machine_learning__agent_messages
      title: Azure Machine Learning Agent Messages
      context: agent_messages
      family: Agents
      type: line
      units: messages/s
      algorithm: incremental
      dimensions:
        - selector: messages_total
          name: messages
    - id: am_azure_machine_learning__agent_runs
      title: Azure Machine Learning Agent Runs
      context: agent_runs
      family: Agents
      type: line
      units: runs/s
      algorithm: incremental
      dimensions:
        - selector: runs_total
          name: runs
    - id: am_azure_machine_learning__agent_tokens
      title: Azure Machine Learning Agent Tokens
      context: agent_tokens
      family: Agents
      type: line
      units: tokens/s
      algorithm: incremental
      dimensions:
        - selector: tokens_total
          name: tokens
    - id: am_azure_machine_learning__agent_tool_calls
      title: Azure Machine Learning Agent Tool Calls
      context: agent_tool_calls
      family: Agents
      type: line
      units: calls/s
      algorithm: incremental
      dimensions:
        - selector: tool_calls_total
          name: tool_calls
    - id: am_azure_machine_learning__agent_indexed_files
      title: Azure Machine Learning Agent Indexed Files
      context: agent_indexed_files
      family: Agents
      type: line
      units: files/s
      algorithm: incremental
      dimensions:
        - selector: indexed_files_total
          name: indexed_files
    - id: am_azure_machine_learning__model_deployments
      title: Azure Machine Learning Model Deployments
      context: model_deployments
      family: Model
      type: line
      units: deployments/s
      algorithm: incremental
      dimensions:
        - selector: model_deploy_started_total
          name: started
        - selector: model_deploy_succeeded_total
          name: succeeded
        - selector: model_deploy_failed_total
          name: failed
    - id: am_azure_machine_learning__model_registrations
      title: Azure Machine Learning Model Registrations
      context: model_registrations
      family: Model
      type: line
      units: registrations/s
      algorithm: incremental
      dimensions:
        - selector: model_register_succeeded_total
          name: succeeded
        - selector: model_register_failed_total
          name: failed
    - id: am_azure_machine_learning__cluster_cores
      title: Azure Machine Learning Cluster Cores
      context: cluster_cores
      family: Quota
      type: stacked
      units: cores
      algorithm: absolute
      dimensions:
        - selector: active_cores_average
          name: active
        - selector: idle_cores_average
          name: idle
        - selector: leaving_cores_average
          name: leaving
        - selector: preempted_cores_average
          name: preempted
        - selector: unusable_cores_average
          name: unusable
    - id: am_azure_machine_learning__total_cores
      title: Azure Machine Learning Total Cores
      context: total_cores
      family: Quota
      type: line
      units: cores
      algorithm: absolute
      dimensions:
        - selector: total_cores_average
          name: total
    - id: am_azure_machine_learning__cluster_nodes
      title: Azure Machine Learning Cluster Nodes
      context: cluster_nodes
      family: Quota
      type: stacked
      units: nodes
      algorithm: absolute
      dimensions:
        - selector: active_nodes_average
          name: active
        - selector: idle_nodes_average
          name: idle
        - selector: leaving_nodes_average
          name: leaving
        - selector: preempted_nodes_average
          name: preempted
        - selector: unusable_nodes_average
          name: unusable
    - id: am_azure_machine_learning__total_nodes
      title: Azure Machine Learning Total Nodes
      context: total_nodes
      family: Quota
      type: line
      units: nodes
      algorithm: absolute
      dimensions:
        - selector: total_nodes_average
          name: total
    - id: am_azure_machine_learning__quota_utilization
      title: Azure Machine Learning Quota Utilization
      context: quota_utilization
      family: Quota
      type: line
      units: percentage
      algorithm: absolute
      dimensions:
        - selector: quota_utilization_percentage_average
          name: utilization
    - id: am_azure_machine_learning__cpu_utilization
      title: Azure Machine Learning CPU Utilization
      context: cpu_utilization
      family: Compute
      type: line
      units: percentage
      algorithm: absolute
      dimensions:
        - selector: cpu_utilization_average
          name: cluster_cpu
        - selector: cpu_utilization_percentage_average
          name: node_cpu
    - id: am_azure_machine_learning__cpu_millicores
      title: Azure Machine Learning CPU Millicores
      context: cpu_millicores
      family: Compute
      type: line
      units: millicores
      algorithm: absolute
      dimensions:
        - selector: cpu_utilization_millicores_average
          name: used
        - selector: cpu_capacity_millicores_average
          name: capacity
    - id: am_azure_machine_learning__cpu_memory_utilization
      title: Azure Machine Learning CPU Memory Utilization
      context: cpu_memory_utilization
      family: Compute
      type: line
      units: percentage
      algorithm: absolute
      dimensions:
        - selector: cpu_memory_utilization_percentage_average
          name: utilization
    - id: am_azure_machine_learning__cpu_memory_megabytes
      title: Azure Machine Learning CPU Memory
      context: cpu_memory_megabytes
      family: Compute
      type: line
      units: megabytes
      algorithm: absolute
      dimensions:
        - selector: cpu_memory_utilization_megabytes_average
          name: used
        - selector: cpu_memory_capacity_megabytes_average
          name: capacity
    - id: am_azure_machine_learning__gpu_utilization
      title: Azure Machine Learning GPU Utilization
      context: gpu_utilization
      family: Compute
      type: line
      units: percentage
      algorithm: absolute
      dimensions:
        - selector: gpu_utilization_average
          name: cluster_gpu
        - selector: gpu_utilization_percentage_average
          name: node_gpu
    - id: am_azure_machine_learning__gpu_milligpus
      title: Azure Machine Learning GPU MilliGPUs
      context: gpu_milligpus
      family: Compute
      type: line
      units: milliGPUs
      algorithm: absolute
      dimensions:
        - selector: gpu_utilization_milli_gpus_average
          name: used
        - selector: gpu_capacity_milli_gpus_average
          name: capacity
    - id: am_azure_machine_learning__gpu_memory_utilization
      title: Azure Machine Learning GPU Memory Utilization
      context: gpu_memory_utilization
      family: Compute
      type: line
      units: percentage
      algorithm: absolute
      dimensions:
        - selector: gpu_memory_utilization_average
          name: cluster_gpu_memory
        - selector: gpu_memory_utilization_percentage_average
          name: node_gpu_memory
    - id: am_azure_machine_learning__gpu_memory_megabytes
      title: Azure Machine Learning GPU Memory
      context: gpu_memory_megabytes
      family: Compute
      type: line
      units: megabytes
      algorithm: absolute
      dimensions:
        - selector: gpu_memory_utilization_megabytes_average
          name: used
        - selector: gpu_memory_capacity_megabytes_average
          name: capacity
    - id: am_azure_machine_learning__gpu_energy
      title: Azure Machine Learning GPU Energy
      context: gpu_energy
      family: Compute
      type: line
      units: joules/s
      algorithm: incremental
      dimensions:
        - selector: gpu_energy_joules_total
          name: energy
    - id: am_azure_machine_learning__disk_usage
      title: Azure Machine Learning Disk Usage
      context: disk_usage
      family: Compute
      type: line
      units: megabytes
      algorithm: absolute
      dimensions:
        - selector: disk_used_megabytes_average
          name: used
        - selector: disk_avail_megabytes_average
          name: available
    - id: am_azure_machine_learning__disk_io
      title: Azure Machine Learning Disk I/O
      context: disk_io
      family: Compute
      type: line
      units: megabytes/s
      algorithm: incremental
      dimensions:
        - selector: disk_read_megabytes_total
          name: read
        - selector: disk_write_megabytes_total
          name: write
    - id: am_azure_machine_learning__network_traffic
      title: Azure Machine Learning Network Traffic
      context: network_traffic
      family: Network
      type: line
      units: megabytes/s
      algorithm: incremental
      dimensions:
        - selector: network_input_megabytes_total
          name: in
        - selector: network_output_megabytes_total
          name: out
    - id: am_azure_machine_learning__infiniband_traffic
      title: Azure Machine Learning InfiniBand Traffic
      context: infiniband_traffic
      family: Network
      type: line
      units: megabytes/s
      algorithm: incremental
      dimensions:
        - selector: ib_receive_megabytes_total
          name: receive
        - selector: ib_transmit_megabytes_total
          name: transmit
    - id: am_azure_machine_learning__storage_api_calls
      title: Azure Machine Learning Storage API Calls
      context: storage_api_calls
      family: Compute
      type: line
      units: calls/s
      algorithm: incremental
      dimensions:
        - selector: storage_api_success_count_total
          name: success
        - selector: storage_api_failure_count_total
          name: failure
    - id: am_azure_machine_learning__run_lifecycle
      title: Azure Machine Learning Run Lifecycle
      context: run_lifecycle
      family: Runs
      type: line
      units: runs/s
      algorithm: incremental
      dimensions:
        - selector: not_started_runs_total
          name: not_started
        - selector: starting_runs_total
          name: starting
        - selector: preparing_runs_total
          name: preparing
        - selector: provisioning_runs_total
          name: provisioning
        - selector: queued_runs_total
          name: queued
        - selector: started_runs_total
          name: started
    - id: am_azure_machine_learning__run_completion
      title: Azure Machine Learning Run Completion
      context: run_completion
      family: Runs
      type: line
      units: runs/s
      algorithm: incremental
      dimensions:
        - selector: completed_runs_total
          name: completed
        - selector: failed_runs_total
          name: failed
        - selector: finalizing_runs_total
          name: finalizing
        - selector: cancelled_runs_total
          name: cancelled
        - selector: cancel_requested_runs_total
          name: cancel_requested
        - selector: not_responding_runs_total
          name: not_responding
    - id: am_azure_machine_learning__run_issues
      title: Azure Machine Learning Run Issues
      context: run_issues
      family: Runs
      type: line
      units: events/s
      algorithm: incremental
      dimensions:
        - selector: errors_total
          name: errors
        - selector: warnings_total
          name: warnings