We already dropped few that are unused ... even after that we ended up in 
that number ... 

Is there a way to find out / query unused metrics or least queried ones ? 
topk somehow does not work for us ... it gives different error every time. 
not able to spend time on that. do you have , any handy promql ? 

On Friday, 7 October, 2022 at 1:36:42 pm UTC+5:30 Brian Candler wrote:

> If you want to filter out some metrics, and you can't control this on the 
> exporter, then you can use metric relabelling 
> <https://prometheus.io/docs/prometheus/latest/configuration/configuration/#metric_relabel_configs>
>  
> to drop any that you don't want to ingest into the database.
>
> On Friday, 7 October 2022 at 08:55:27 UTC+1 Stuart Clark wrote:
>
>> On 07/10/2022 04:09, Muthuveerappan Periyakaruppan wrote:
>> > we have a situation , where we have 8 to 15 million head series in 
>> > each Prometheus and we have 7 instance of them (federated). Our 
>> > prometheus are in a constant flooded situation handling the incoming 
>> > metrics and back end recording rules. 
>>
>> 8-15 million time series on a single Prometheus instance is pretty high. 
>> What spec machine/pod are these?
>>
>> When you say "flooded" what are you meaning?
>>
>> > One thought which came to was - do we have something similar to log 
>> > level for prometheus metrics ? If its there then... we can benefit 
>> > from it .... by configuring to run all targets in error level in 
>> > production and in debug/info level in development... This will help 
>> > control flooding of metrics.
>> >
>> I'm not sure what I understand what you are suggesting. What would be 
>> the difference between setting this hypothetical "error" and "debug" 
>> levels? Are you meaning some metrics would only be exposed on some 
>> environments?
>>
>> -- 
>> Stuart Clark
>>
>>

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