On Sun, Nov 29, 2020 at 11:51 AM Aliaksandr Valialkin <[email protected]>
wrote:

>
>
> On Fri, Nov 27, 2020 at 11:11 AM Ben Kochie <[email protected]> wrote:
>
>>
>>>
>>>> Or else is there any other ways by which we can solve this issue.
>>>>
>>>
>>> Using something other than federation.  remote_write is able to buffer
>>> up data locally if the endpoint is down.
>>>
>>> Prometheus itself can't accept remote_write requests, so you'd have to
>>> write to some other system
>>> <https://prometheus.io/docs/operating/integrations/#remote-endpoints-and-storage>
>>> which can.  I suggest VictoriaMetrics, as it's simple to run and has a very
>>> prometheus-like API, which can be queried as if it were a prometheus
>>> instance.
>>>
>>
>> I recommend Thanos, as it scales better and with less effort than
>> VictoriaMetrics. It also uses PromQL code directly, so you will get the
>> same results as Prometheus, not an emulation of PromQL.
>>
>>
> Could you share more details on why you think that VictoriaMetrics has
> scalability issues and is harder to set up and operate than Thanos?
> VictoriaMetrics users have quite the opposite opinion. See
> https://victoriametrics.github.io/CaseStudies.html and
> https://medium.com/faun/comparing-thanos-to-victoriametrics-cluster-b193bea1683
> .
>

Thanos uses object storage, which avoids the need for manual sharding of
TSDB storage. Today I have 100TiB of data stored in object storage buckets.
I make no changes to scale up or down these buckets.

This object storage design also works when Thanos is in remote-write mode,
rather than sidecar mode.


>
> --
>
> Aliaksandr Valialkin, CTO VictoriaMetrics
>

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