prometheus/docs/federation.md

title	sort_rank
Federation	6

Federation

Federation allows a Prometheus server to scrape selected time series from another Prometheus server.

Note about native histograms (experimental feature): To scrape native histograms via federation, the scraping Prometheus server needs to run with native histograms enabled (via the command line flag --enable-feature=native-histograms), implying that the protobuf format is used for scraping. Should the federated metrics contain a mix of different sample types (float64, counter histogram, gauge histogram) for the same metric name, the federation payload will contain multiple metric families with the same name (but different types). Technically, this violates the rules of the protobuf exposition format, but Prometheus is nevertheless able to ingest all metrics correctly.

Use cases

There are different use cases for federation. Commonly, it is used to either achieve scalable Prometheus monitoring setups or to pull related metrics from one service's Prometheus into another.

Hierarchical federation

Hierarchical federation allows Prometheus to scale to environments with tens of data centers and millions of nodes. In this use case, the federation topology resembles a tree, with higher-level Prometheus servers collecting aggregated time series data from a larger number of subordinated servers.

For example, a setup might consist of many per-datacenter Prometheus servers that collect data in high detail (instance-level drill-down), and a set of global Prometheus servers which collect and store only aggregated data (job-level drill-down) from those local servers. This provides an aggregate global view and detailed local views.

Cross-service federation

In cross-service federation, a Prometheus server of one service is configured to scrape selected data from another service's Prometheus server to enable alerting and queries against both datasets within a single server.

For example, a cluster scheduler running multiple services might expose resource usage information (like memory and CPU usage) about service instances running on the cluster. On the other hand, a service running on that cluster will only expose application-specific service metrics. Often, these two sets of metrics are scraped by separate Prometheus servers. Using federation, the Prometheus server containing service-level metrics may pull in the cluster resource usage metrics about its specific service from the cluster Prometheus, so that both sets of metrics can be used within that server.

Configuring federation

On any given Prometheus server, the /federate endpoint allows retrieving the current value for a selected set of time series in that server. At least one match[] URL parameter must be specified to select the series to expose. Each match[] argument needs to specify an instant vector selector like up or {job="api-server"}. If multiple match[] parameters are provided, the union of all matched series is selected.

To federate metrics from one server to another, configure your destination Prometheus server to scrape from the /federate endpoint of a source server, while also enabling the honor_labels scrape option (to not overwrite any labels exposed by the source server) and passing in the desired match[] parameters. For example, the following scrape_configs federates any series with the label job="prometheus" or a metric name starting with job: from the Prometheus servers at source-prometheus-{1,2,3}:9090 into the scraping Prometheus:

scrape_configs:
  - job_name: 'federate'
    scrape_interval: 15s

    honor_labels: true
    metrics_path: '/federate'

    params:
      'match[]':
        - '{job="prometheus"}'
        - '{__name__=~"job:.*"}'

    static_configs:
      - targets:
        - 'source-prometheus-1:9090'
        - 'source-prometheus-2:9090'
        - 'source-prometheus-3:9090'