Metrics Exporter

Configure metrics exporter

To start the Device Metrics Exporter along with the GPU Operator configure the spec/metricsExporter/enable field in deviceconfig Custom Resource(CR) to enable/disable metrics exporter

# Specify the metrics exporter config
metricsExporter:
    # To enable/disable the metrics exporter, disabled by default
    enable: True

    # kubernetes service type for metrics exporter, clusterIP(default) or NodePort
    serviceType: "NodePort"

    # Node port for metrics exporter service, metrics endpoint $node-ip:$nodePort
    nodePort: 32500

    # image for the metrics-exporter container
    image: "amd/device-metrics-exporter/exporter:v1"
 

The metrics-exporter pods start after updating the DeviceConfig CR

#kubectl get pods -n kube-amd-gpu -l "app.kubernetes.io/name=metrics-exporter"
NAME                                       READY   STATUS    RESTARTS   AGE
gpu-operator-metrics-exporter-q8hbb   1/1     Running   0          74s

Note

Note: The Device Metrics Exporter name will be prefixed with the name of your DeviceConfig custom resource (“gpu-operator” in the default helm installation)

Metrics Exporter DeviceConfig

Field Name	Details
Enable	Enable/Disable metrics exporter
Port	Service port exposed by metrics exporter
serviceType	service type for metrics, clusterIP/NodePort
nodePort	Node port for metrics exporter service
selector	Node selector for metrics exporter daemonset
image	metrics exporter image
config	metrics configurations (fields/labels)
name	configmap name for custom fields/labels

Customize metrics fields/labels

To customize metrics fields/labels, create a configmap with fields/labels and use it in DeviceConfig CR

kubectl create configmap <name> --from-file=examples/metricsExporter/config.json

Example config file is available here: config.json