Add a new counter for tracking node update failures from nfd-master. This tracks both normal feature updates and the --prune sub-command. This is a simple counter without any additional labels - nfd-master logs can be used for further diagnostics.
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title | layout | sort |
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Metrics | default | 7 |
Metrics
Metrics are configured to be exposed using prometheus operator API's by default. If you want to expose metrics using the prometheus operator API's you need to install the prometheus operator in your cluster. By default NFD Master and Worker expose metrics on port 8081.
The exposed metrics are
Metric | Type | Description |
---|---|---|
nfd_master_build_info |
Gauge | Version from which nfd-master was built |
nfd_worker_build_info |
Gauge | Version from which nfd-worker was built |
nfd_node_updates_total |
Counter | Number of nodes updated |
nfd_node_update_failures_total |
Counter | Number of nodes update failures |
nfd_nodefeaturerule_processing_duration_seconds |
Histogram | Time taken to process NodeFeatureRule objects |
nfd_feature_discovery_duration_seconds |
Histogram | Time taken to discover features on a node |
Via Kustomize
To deploy NFD with metrics enabled using kustomize, you can use the Metrics Overlay.
Via Helm
By default metrics are enabled when deploying NFD via Helm. To enable Prometheus to scrape metrics from NFD, you need to pass the following values to Helm:
--set prometheus.enable=true
For more info on Helm deployment, see Helm.
We recommend setting
--set prometheus.prometheusSpec.podMonitorSelectorNilUsesHelmValues=false
when deploying prometheus-operator via Helm to enable the prometheus-operator
to scrape metrics from any PodMonitor.
or setting labels on the PodMonitor via the helm parameter prometheus.labels
to control which Prometheus instances will scrape this PodMonitor.