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Could you elaborate on what seems to be your focus on logging only. Would Prometheus be relevant, for say, high frequency financial markets data? I note that Pr

Could you elaborate on what seems to be your focus on logging only. Would Prometheus be relevant, for say, high frequency financial markets data? I note that Prometheus "has knowledge about what the world should look like" and "actively tries to find faults" [1]. Isn't this something which is applicable to other fields than simply monitoring? I spend a lot of my time watching and managing "bad data" coming through in finance.... [1] https://prometheus.io/docs/introduction/comparison/ https://prometheus.io/docs/introduction/comparison/

jrv 10y ago
Our focus is not logging only, it's the opposite: we don't support storing logs of individual events. What Prometheus does is store dimensional numerical time series. See the data model: https://prometheus.io/docs/concepts/data_model/ https://prometheus.io/docs/concepts/data_model/ So it's a question of whether you can squeeze your data into that model and whether you need per-event details or whether aggregated time series are ok.