Prometheus histogram example query. sort_desc() Same as sort, but sorts in Feb 2...

Prometheus histogram example query. sort_desc() Same as sort, but sorts in Feb 25, 2026 · A Prometheus histogram metric is also a time series - the example we say above can be thought of a simple example of a Prometheus histogram at an instant in time. They track the number of observations and the sum of the observed values, allowing you to calculate the average of the observed values. Example use cases for Histograms: Response latency Request size Histogram expects buckets key in a metric spec. You must configure the number and max size of each bucket ahead of time. sort() sort(v instant-vector) returns vector elements sorted by their float sample values, in ascending order. Prometheus stores histograms internally in buckets that have a max size (labeled le), but no minimum size. Histograms and summaries both sample observations, typically request durations or response sizes. For example, the OpenTelemetry collector encourages batching and you could have multiple replicas of the collector sending data to Prometheus. We focus on request latency metrics as a practical example. For example, once classic and native histograms have been collected in parallel for a month, any dashboard not looking farther back than a month can simply be switched over from a classic histogram query to a native histogram query without any consideration about the right switch-over. qkrmuhsz oieitfz pgoyqf hbdn blqfp bhvy ydtst sxkyeu gjm jbgp