This is probably a case where you would want to look into Thanos or Cortex
to provide a larger aggregation layer on top of multiple Prometheus servers.

On Sun, May 17, 2020 at 11:53 AM Rajesh Reddy Nachireddi <
[email protected]> wrote:

> Hi,
>
> Basically, we have large networking setup with 10k devices. we are hitting
> 1M metrics every second from 20 % of devices itself, so we have 5 prom
> instances and one global proemtheus which uses remote read to handle alert
> rule evaluations and thanos querier for visualisation on grafana.
>
> We have segregated devices with specific device ip ranges to each
> Prometheus instances.
>
> So, we have one aggregator which is using remote read from all the
> individual prom instances through remote read
>
> 1. will the remote read cause an issue w.r.t loading the large time series
> over wire every 1 min ?
> 2. Is it CPU or memory intensive ?
>
> What is best design strategy to handle these scale and alerting across the
> devices or metrics ?
>
> Regards,
>
> Rajesh
>
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