Thanks Aliaksandr and Ben.

Do you have any suggestion for autoscaling of prometheus or victoriametrics
?

Currently, we have allocated 200GB of RAM for each prometheus instance, but
we are not sure when it gets filled up due to high cardinality OOM issues.

@Ben Kochie <[email protected]> -  Regarding ruler in Thanos, Is it
production ready component ?

@Aliaksandr Valialkin <[email protected]> - Do we have any document which
talks about pros and cons about remote_read vs remote_write in prometheus
vs Victoriametrics ?

Regards,
Rajesh

On Thu, May 28, 2020 at 12:39 AM Aliaksandr Valialkin <[email protected]>
wrote:

> Take a look also at the following projects:
>
> * Promxy <https://github.com/jacksontj/promxy> - it allows executing
> alerts over multiple Prometheus instances. See these docs
> <https://github.com/jacksontj/promxy/blob/master/README.md#how-do-i-use-alertingrecording-rules-in-promxy>
> for details.
> * VictoriaMetrics <https://github.com/VictoriaMetrics/VictoriaMetrics>+
> vmalert
> <https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmalert>.
> Multiple Prometheus instances may write data into a centralized
> VictoriaMetrics via remote_write API, then vmalert may be used for alerting
> on top all the collected metrics in VictoriaMetrics.
>
> On Wed, May 27, 2020 at 7:46 PM Rajesh Reddy Nachireddi <
> [email protected]> wrote:
>
>> Hi Ben,
>>
>> Does latest version of Cortex /Thanos supports the alerting with multiple
>> shards of prometheus ?
>> Thanos Ruler wasn't ready for production to evalute the expression across
>> the prometheus instances .. Do we have any docuemnet or blog about this ?
>>
>> Thanks,
>> Rajesh
>>
>> On Tue, May 26, 2020 at 11:37 AM Ben Kochie <[email protected]> wrote:
>>
>>> 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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>>>> .
>>>>
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>> .
>>
>
>
> --
> Best Regards,
>
> Aliaksandr Valialkin, CTO VictoriaMetrics
>
>
> --
> Best Regards,
>
> Aliaksandr Valialkin, CTO VictoriaMetrics
>
> --
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