Understanding histogram_quantile based on rate in Prometheus

Question

According to Prometheus documentation in order to have a 95th percentile using histogram metric I can use following query:

histogram_quantile(0.95, sum(rate(http         


        

Answer 1

I believe this is the code for it in prometheus
The general idea is that you use the data in the buckets to extrapolate / approximate the quantiles Elasticsearch also does something similar (yet different/much simpler) in their rollup capabilities