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 |
