I have a similar usecase where I have json files with metrics which also
has Timestamps (string format). Do I need to backfill the data into
prometheus or write a exporter. I have tried the latter. so a sample of my
data has :
{some attributes (including timestamp)} value
I used the observable gauge using Measurment<T> in C#.
But the metric I am getting in prometheus is like this:
metric_name{attribute1:attribute1_value,
.........timestamp:timestamp_value} value timestamp
I want the my timestamp_value present in the attribute to be the actual
timestamp of the prometheus and not the current timestamp recorded by
prometheus. Any suggestions???
On Friday, 9 September, 2022 at 7:04:36 pm UTC+5:30 Olivier Harand wrote:
> Hello everyone,
>
> In a personal small lab, i remember that i did convert a CSV to SQlite,
> then used one of the SQL / Query exporter available to move the data to
> Prometheus. So i could trace the changes, evolution over time, requesting
> data with promQL in Grafana Dashboards.
>
> If you are not interested in viewing the changes over time, better use a
> SQLite or even CSV datasource in Grafana.
>
> Have a good day !
>
> Le ven. 9 sept. 2022 à 12:19, Shruthi P <[email protected]> a écrit :
>
>> Hi All,
>> I have a csv and yaml file with some data. I want prometheus to monitor
>> the data and add metrics for the data to finally use it in grafana for
>> visualization /
>> Please give pointers there
>>
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>>
>
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