Ok, I will try the PR first. Can I know what‘s the concern of "Personally, 
I'm still not sure if that's a sustainable approach. "?

Thanks,
Dong Shandong

On Friday, 25 June 2021 at 5:14:51 am UTC+8 [email protected] wrote:

> On 24.06.21 00:05, 董善东 wrote:
> > hi,all
> > In the existing prometheus version, the anomaly detection still relies 
> > fully on the rules setting. We find that it is inconvenient to set and 
> hard 
> > to maintain in practical use.
> > So I propose to add some statistical analysis functions to provide 
> better 
> > and stronger AD ability. 
>
> Yeah, that's a frequent request. Unfortunately, there are so many
> statistical analysis functions that we can hardly just add them all.
>
> So far, the usual recommendation is to extract data from Prometheus
> via the HTTP API and feed it to a fully-fledged statistics tool.
>
> Obviously, that doesn't help you with alerts (which you probably want
> to keep within Prometheus).
>
> At the previous to last dev-summit (2021-05-27), we discussed the use
> case.
>
> Outcome was the following:
> * We want to explore supporting analytics use cases within PromQL behind
> a feature flag
> * We are open to wrapping other languages, e.g. R, Fortran, SciPython,
> given an accepted design doc
>
> See alse notes here:
>
> https://docs.google.com/document/d/11LC3wJcVk00l8w5P3oLQ-m3Y37iom6INAMEu2ZAGIIE/edit?ts=6036b8e0&pli=1#heading=h.sa2f6aem9wdt
>
> So I guess you could just implement the functions you like and put
> them into a PR, locked behind a feature flag.
>
> Personally, I'm still not sure if that's a sustainable
> approach. Perhaps integrating some scripting engine to allow
> user-defined functions might be better. But we'll see…
>
> -- 
> Björn Rabenstein
> [PGP-ID] 0x851C3DA17D748D03
> [email] [email protected]
>

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