One minute later I thought about deleting metrics from registry after being
scraped
and registering it back when upload appear.
суббота, 16 мая 2020 г., 19:59:28 UTC+3 пользователь Albert Aleksandrov
написал:
>
> Hi all!
>
> (*Django app*)
>
> We have a business entity called *upload*. It has such parameters
> (labels) as
> 1. *series* (series1, series2, etc),
> 2. *processing_duration* (in seconds)*, *
> 3. *status *(success, running, terminated),
> 4. some another labels.
>
> With Prometheus we would like to count:
> 1. uploads summed by status,
> 2. average duration by series,
> 3. something else.
>
> Now I see metrics to look like this to archive our goals:
>
> *upload{series="series1", status="terminated"} 1 # actually the value is
> always 1*
>
> *upload{series="series2", status="terminated"} 1*
>
> *upload{series="series2", status="success"} 1*
>
> *upload_processing_duration{series="series1"} 20 *
> *upload_**processing_**duration{series="series2"} 30*
>
> With such metrics queries would be like this:
>
> *sum(upload{status="terminated"}) or sum(upload{series="series1"})*
> *avg(upload_duration{series="series1"})*
>
> So as to have such raw (plain, atomic) data in Prometheus one should to
> push
> them as they appear or to save them by one (without overriding) if we use*
> /metrics*
> endpoint which then is being scraped by Prometheus with some interval.
>
> I tried pushgateway but when metrics pushed they stay there with the same
> values
> until overriding or deleting. And it happens that Prometheus scrapes the
> same values again
> and again instead of to scrape them and forget delete.
>
> [image: wefwe.jpg]
>
> Could you please say how can I archive such behaviour?
>
>
>
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