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metrics.yaml
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metrics.yaml
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dimensions:
- &model_name "ModelName"
- &worker_name "WorkerName"
- &level "Level"
- &device_id "DeviceId"
- &hostname "Hostname"
ts_metrics:
counter:
- name: Requests2XX
unit: Count
dimensions: [*level, *hostname]
- name: Requests4XX
unit: Count
dimensions: [*level, *hostname]
- name: Requests5XX
unit: Count
dimensions: [*level, *hostname]
- name: ts_inference_requests_total
unit: Count
dimensions: ["model_name", "model_version", "hostname"]
- name: ts_inference_latency_microseconds
unit: Microseconds
dimensions: ["model_name", "model_version", "hostname"]
- name: ts_queue_latency_microseconds
unit: Microseconds
dimensions: ["model_name", "model_version", "hostname"]
gauge:
- name: QueueTime
unit: Milliseconds
dimensions: [*level, *hostname]
- name: WorkerThreadTime
unit: Milliseconds
dimensions: [*level, *hostname]
- name: WorkerLoadTime
unit: Milliseconds
dimensions: [*worker_name, *level, *hostname]
- name: CPUUtilization
unit: Percent
dimensions: [*level, *hostname]
- name: MemoryUsed
unit: Megabytes
dimensions: [*level, *hostname]
- name: MemoryAvailable
unit: Megabytes
dimensions: [*level, *hostname]
- name: MemoryUtilization
unit: Percent
dimensions: [*level, *hostname]
- name: DiskUsage
unit: Gigabytes
dimensions: [*level, *hostname]
- name: DiskUtilization
unit: Percent
dimensions: [*level, *hostname]
- name: DiskAvailable
unit: Gigabytes
dimensions: [*level, *hostname]
- name: GPUMemoryUtilization
unit: Percent
dimensions: [*level, *device_id, *hostname]
- name: GPUMemoryUsed
unit: Megabytes
dimensions: [*level, *device_id, *hostname]
- name: GPUUtilization
unit: Percent
dimensions: [*level, *device_id, *hostname]
model_metrics:
# Dimension "Hostname" is automatically added for model metrics in the backend
gauge:
- name: HandlerTime
unit: ms
dimensions: [*model_name, *level]
- name: PredictionTime
unit: ms
dimensions: [*model_name, *level]