Configure Prometheus federation to aggregate metrics from multiple Prometheus servers into a global view
domain: prometheus.io · 6 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗
Steps
On each source Prometheus server, the built-in /federate endpoint is always available; it exposes the current value of selected time series based on match[] URL parameters.
On the global/aggregating Prometheus, add a scrape_configs job with honor_labels: true and metrics_path: '/federate', targeting the source servers' host:port as static_configs targets.
Add one or more params: match[] entries to select which series to pull, e.g. match[]: ['{job="prometheus"}'] or match[] on specific metric name prefixes; multiple match[] values are unioned.
Set honor_labels: true so that labels already present on the scraped (federated) series take precedence over the global Prometheus's own server-side labels, preserving the original instance/job identity.
Reload the global Prometheus config and confirm via its targets page that the federation scrape job is healthy and the federated series appear in queries.
Prefer federating aggregated/recording-rule metrics rather than raw high-cardinality series, since federation is a pull-based full scrape of the matched series on every scrape interval.
Known gotchas
Federation does not scale well for pulling entire raw metric sets across servers; it is intended for pulling a limited, pre-aggregated set of series (e.g. recording-rule outputs), not for hierarchical full-fidelity global storage.
Omitting match[] causes the /federate endpoint to return nothing (at least one match[] is required); overly broad match[] selectors can cause very large, slow scrapes and duplicate label collisions.
Without honor_labels: true, conflicting labels get renamed to exported_<label>, which can silently break dashboards/alerts that expect the original label names on federated series.
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