Microsoft Azure Machine Learning

개요

Azure Machine Learning 서비스는 개발자와 데이터 과학자에게 기계 학습을 구축하고, 훈련하며, 더 빨리 배포하는 데 도움이 되도록 다양한 생산적인 경험을 제공하는 서비스입니다. Datadog를 사용해 Azure Machine Learning 성능과 내 애플리케이션 및 인프라스트럭처 컨텍스트 내 활용도를 모니터링할 수 있습니다.

Azure Machine Learning 메트릭을 얻으면 다음을 할 수 있습니다.

  • 모델 배포 및 실행 상태 횟수 추적
  • 기계 학습 노드 활용도 모니터링
  • 성능 대비 비용 최적화

설정

설치

아직 설정하지 않았다면, 먼저 Microsoft Azure 통합을 설정하세요. 그 외 다른 설치 단계는 없습니다.

수집한 데이터

메트릭

azure.machinelearningservices_workspaces.completed_runs
(gauge)		The number of runs completed successfully for this workspace.
Shown as operation
azure.machinelearningservices_workspaces.started_runs
(gauge)		The number of runs started for this workspace.
Shown as operation
azure.machinelearningservices_workspaces.failed_runs
(gauge)		The number of runs failed for this workspace.
Shown as operation
azure.machinelearningservices_workspaces.model_register_succeeded
(gauge)		The number of model registrations that succeeded in this workspace.
azure.machinelearningservices_workspaces.model_register_failed
(gauge)		The number of model registrations that failed in this workspace.
azure.machinelearningservices_workspaces.model_deploy_started
(gauge)		The number of model deployments started in this workspace.
azure.machinelearningservices_workspaces.model_deploy_succeeded
(gauge)		The number of model deployments that succeeded in this workspace.
azure.machinelearningservices_workspaces.moddel_deploy_failed
(gauge)		The number of model deployments that failed in this workspace.
azure.machinelearningservices_workspaces.total_nodes
(gauge)		The number of total nodes. This total includes some of Active Nodes, Idle Nodes, Unusable Nodes, Premepted Nodes, Leaving Nodes.
Shown as node
azure.machinelearningservices_workspaces.active_nodes
(gauge)		The number of Acitve nodes. These are the nodes which are actively running a job.
Shown as node
azure.machinelearningservices_workspaces.idle_nodes
(gauge)		The number of idle nodes. Idle nodes are the nodes which are not running any jobs but can accept new job if available.
Shown as node
azure.machinelearningservices_workspaces.unusable_nodes
(gauge)		The number of unusable nodes. Unusable nodes are not functional due to some unresolvable issue. Azure will recycle these nodes.
Shown as node
azure.machinelearningservices_workspaces.preempted_nodes
(gauge)		The number of preempted nodes. These nodes are the low priority nodes which are taken away from the available node pool.
Shown as node
azure.machinelearningservices_workspaces.leaving_nodes
(gauge)		The number of leaving nodes. Leaving nodes are the nodes which just finished processing a job and will go to Idle state.
Shown as node
azure.machinelearningservices_workspaces.total_cores
(gauge)		The number of total cores.
Shown as core
azure.machinelearningservices_workspaces.active_cores
(gauge)		The number of active cores.
Shown as core
azure.machinelearningservices_workspaces.idle_cores
(gauge)		The number of idle cores.
Shown as core
azure.machinelearningservices_workspaces.unusable_cores
(gauge)		The number of unusable cores.
Shown as core
azure.machinelearningservices_workspaces.preempted_cores
(gauge)		The number of preempted cores.
Shown as core
azure.machinelearningservices_workspaces.leaving_cores
(gauge)		The number of leaving cores.
Shown as core
azure.machinelearningservices_workspaces.quota_utilization_percentage
(gauge)		The percent of quota utilized.
Shown as percent
azure.machinelearningservices_workspaces.cpuutilization
(gauge)		CPU utilization
Shown as percent
azure.machinelearningservices_workspaces.gpuutilization
(gauge)		GPU utilization
Shown as percent

이벤트

Azure Machine Learning 통합에는 이벤트가 포함되어 있지 않습니다.

서비스 검사

Azure Machine Learning 통합에는 서비스 점검이 포함되어 있지 않습니다.

트러블슈팅

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