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Telemetry. Dashboards. The application is knowing when a signal is anomalous.

https://en.wikipedia.org/wiki/Observability_(software)



Oh, yes I am working on that. Usually LSTM, exploring encoder-decoders and generative models, but also some simpler models based on periodic averages (which are surprisingly useful in some use cases). But I don’t have per-core metrics.


Depending on how stable your signal is, I've had good experience with seasonal ARIMA and LOESS (but it's not neural networks)




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