Hmm, I don't know what the limits are.

On Tue, Jun 28, 2022, 7:57 PM Johny <[email protected]> wrote:

> Does Prometheus support remote-write of metrics with future timestamps
> (+1,2 years)? I am aware other time series databases based on Prometheus
> model - such as Cortex, Thanos validate timestamps and throw out of band
> exceptions.
>
>
> On Tuesday, June 28, 2022 at 1:31:11 PM UTC-4 [email protected] wrote:
>
>> If you're producing metrics into the future, I would recommend using the
>> remote write receiver model, rather than the scrape model. It handles this
>> kind of use case much more easily.
>>
>> On Tue, Jun 28, 2022 at 6:28 PM Johny <[email protected]> wrote:
>>
>>>  we are integrating a legacy system, that allows storing metrics with
>>> future timestamps, into our centralized prometheus instance. The use case
>>> here is that the forecast series is generated from external machine
>>> learning models and used for capacity planning, anomaly detection and
>>> stress analysis -- and alerting on forecast metrics.
>>>
>>> I'm trying to improve my understanding of the constraints in Prometheus
>>> enforcing timestamps to be current. Besides implementation complexity of
>>> handling TS blocks with future timestamps, are there  design considerations
>>> on why this is unsupported? In this case, how do we integrate Prometheus
>>> with these legacy systems? Even the long term scalable stores such as
>>> Thanos, Cortex don't support this requirement.
>>>
>>> Note that it is not feasible to replicate the models in PromQL in real
>>> time as the models are too complex and have dependencies on other workflows.
>>>
>>> thanks
>>>
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>>> .
>>>
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