Hi,
We're recording the duration of completed operations within our system.
Every time something succeeds, we observe the duration using a Prometheus
histogram.
- I set up the buckets using an exponential distribution: 1000, 5000,
25000, 125000, 625000.
- Each observation includes around 6 labels e.g: operationType,
organizationId
I want to count the number of observations per bucket for a specific
operation type within a given range. I tried the following queries (using a
Grafana Bar Gauge with Heatmap format):
sum(operation_x_bucket{operationType="TypeA"}) by (le)
I also tried using the `increase` function, but I'm clearly missing the
point here (I also tried with a fixed range vector).
sum(increase(operation_x_bucket{operationType="TypeA"}[$__range])) by (le)
The result in both case doesn't make sense. *The values are way below the
real number of successful operations*.
I validated that operations are properly observed, so my guess is that I'm
completely misunderstanding Prometheus _bucket usage.
*What's the proper way to count many observation per bucket do we have for
given label value?*
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