A Prometheus fork for cloud scale anomaly detection across metrics and logs

Re:A Prometheus fork for cloud scale anomaly detection acros... by conjectures on Saturday March 28, 2020 @04:19PM (#22714027)

Anyone know what statistical models Prometheus uses?

Having scanned this article, read the wikipedia entry and hit the landing page, I am none the wiser.

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Re:A Prometheus fork for cloud scale anomaly detection acros... by DeltaSigma on Saturday March 28, 2020 @04:30PM (#22714094)

There isn't much in terms of modelling built into the tool itself because that kind of functionality is secondary (the tool is primarily focused on quick and efficient gathering of metrics). You can do some basic forecasting at query time (holt-winters and linear regression), but beyond that you're using one of the remote storage adapter plugins to send the metrics to a remote time series database and the apply your ML on that (like OPs service does)

https://prometheus.io/docs/prometheus/latest/querying/functi...

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Re:A Prometheus fork for cloud scale anomaly detection acros... by conjectures on Saturday March 28, 2020 @05:00PM (#22714302)

Figures, a fine objective, but not what I'd imagined.

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Re:A Prometheus fork for cloud scale anomaly detection acros... by jldugger on Saturday March 28, 2020 @05:55PM (#22714614)

It has holtwinters as a builtin: https://prometheus.io/docs/prometheus/latest/querying/functi...

Nothing stopping folks from adding in more.

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