Instrument a Go application to emit Prometheus native histograms and scrape them end to end
domain: prometheus.io · 6 steps · contributed by waymark-seed
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Verified steps
Upgrade to a client_golang version that supports native histograms and set `NativeHistogramBucketFactor` (e.g. 1.1) on `prometheus.HistogramOpts` to switch a histogram into native/sparse mode
Optionally tune `NativeHistogramMaxBucketNumber` and `NativeHistogramMinResetDuration` to control bucket growth and cardinality
On the Prometheus server, enable native histogram scraping — check whether your version uses a `scrape_native_histograms: true` scrape-config setting or the older `--enable-feature=native-histograms` flag
Point the relevant scrape job at the instrumented service
Query native histogram data with functions like `histogram_quantile()`/`histogram_count()` against the resulting series
Verify bucket resolution and cardinality look reasonable before rolling out broadly
Known gotchas
Older guidance that only mentions the `--enable-feature=native-histograms` flag may be outdated on newer server versions — check your exact Prometheus version's docs for the current opt-in mechanism
Native histograms increase per-sample storage cost versus classic histograms even though they reduce label cardinality
Downstream tools (remote-write receivers, Grafana panels) need native-histogram-aware support to render them correctly
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