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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