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] -- You received this message because you are subscribed to the Google Groups "Prometheus Developers" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/prometheus-developers/20210624211449.GC11559%40jahnn.
