Send Traefik metrics to Axiom

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.

Prerequisites

• Create an Axiom account.
• Create a dataset in Axiom where you send your data.
• Create an API token in Axiom with permissions to ingest data to the dataset you have created.

Enable Prometheus metrics in Traefik

Enable the Prometheus metrics provider in Traefik’s static configuration:

metrics:
  prometheus:
    addEntryPointsLabels: true
    addServicesLabels: true

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:

receivers:
  prometheus:
    config:
      scrape_configs:
        - job_name: traefik
          scrape_interval: 15s
          static_configs:
            - targets: ["traefik:8080"] # host:port of Traefik's metrics entrypoint

processors:
  memory_limiter:
    check_interval: 1s
    limit_percentage: 80
    spike_limit_percentage: 25
  batch:
    send_batch_max_size: 8192

exporters:
  otlphttp:
    compression: zstd
    endpoint: https://AXIOM_DOMAIN
    headers:
      authorization: Bearer API_TOKEN
      x-axiom-metrics-dataset: DATASET_NAME

service:
  pipelines:
    metrics:
      receivers:
        - prometheus
      processors:
        - memory_limiter
        - batch
      exporters:
        - otlphttp

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:

`DATASET_NAME`:`traefik_service_requests_total`
| align to $__interval using prom::rate
| group by `service` using sum

For more information, see Metrics.