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Summaries are distribution metrics optimized for quantiles (e.g., p50, p90, p99). They also support labels for slicing.

Create and observe

When to choose summary

  • You primarily care about p50 / p90 / p99 rather than the full histogram.
  • SLA/SLO style monitoring (e.g., “99% of completions under 60s”).
In dashboards, choose a percentile view for Summary metrics to derive p50/p90/p99. If you need the full shape of the distribution, use a Histogram instead.