Histograms measure the statistical distribution of a set of values.
Datadog histogram and timing metrics are essentially the same thing and are extensions on the StatsD timing metric: they aggregate the values that are sent during the flush interval (usually defaults to 10 seconds).
If you send 20 values for a metric
<METRIC_NAME> during the flush interval, a Datadog histogram gives you the aggregation of those values for the flush interval, i.e.:
<METRIC_NAME>.avg: gives you the avg of those 20 values during the flush interval
<METRIC_NAME>.count: gives you the count of the values (20 in this case) sent during the flush interval.
<METRIC_NAME>.median: gives you the median of those values in the flush interval.
<METRIC_NAME>.95percentile: gives you the 95th percentile value in the flush interval.
<METRIC_NAME>.max: gives you the max value sent during the flush interval.
<METRIC_NAME>.min: gives you the min value sent during the flush interval.
<METRIC_NAME>.sum: gives you the sum of values sent during the flush interval.
Configure which aggregation you want to send to Datadog with the
histogram_aggregates parameter in your datadog.yaml configuration file.
By default only
count aggregations are sent out to Datadog.
|self.histogram(…)||used to track the statistical distribution of a set of values.|
|dog.histogram(…)||Used to track the statistical distribution of a set of values over a StatsD flush period.|
See the DogStatsD-specific documentation for code examples.
Additional helpful documentation, links, and articles: