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Traefik exposes detailed metrics about its entrypoints, routers, and services in Prometheus format. Axiom ingests metrics over OTLP and doesn’t accept Prometheus remote-write, so the recommended setup is an OpenTelemetry Collector that scrapes Traefik’s Prometheus endpoint and forwards the metrics to Axiom. The same pattern works for any app that exposes Prometheus metrics.
The Prometheus receiver is part of the contrib distribution of the OpenTelemetry Collector (otelcol-contrib). It isn’t included in the core distribution.

Prerequisites

When you create the dataset, select Metrics as the dataset type. Metrics require their own dedicated dataset. For more information, see Create dataset.

Enable Prometheus metrics in Traefik

Enable the Prometheus metrics provider in Traefik’s static configuration:
Traefik then serves metrics at /metrics on the internal traefik entrypoint (port 8080 by default). To add per-router metrics, set addRoutersLabels: true as well. For all options, see the Traefik documentation.

Configure the OpenTelemetry Collector

Add a Prometheus receiver that scrapes Traefik and an OTLP/HTTP exporter that sends data to Axiom:
Replace AXIOM_DOMAIN with the base domain of your edge deployment. For more information, see Edge deployments.Replace API_TOKEN with the Axiom API token you have generated. For added security, store the API token in an environment variable.Replace DATASET_NAME with the name of the Axiom dataset where you send your data.For metrics, use the x-axiom-metrics-dataset header instead of x-axiom-dataset.
Traefik v3 can also push OTLP metrics directly (metrics.otlp) — for example, to the OTLP receiver of an OpenTelemetry Collector that forwards to Axiom as shown above. For more information, see the Traefik documentation.

Query your metrics

Once data is flowing, query your Traefik metrics like any other OTel metrics in Axiom. For example, to chart the request rate per service:
For more information, see Metrics.