I don't know if that CSV import supports your use case: there's a difference between back-filling an entire timeseries with historical data, and pumping new blocks of data in every 24 hours. Doing the latter raises various questions - how would alerting rules work, for instance?
Your idea of using TimescaleDB seems reasonable for this use case. VictoriaMetrics is another option to look at, as it supports ingestion in a whole range of formats: https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/README.md#how-to-import-time-series-data and it can be queried directly using a superset of PromQL with a Prometheus-compatible API (that is, you can point a Grafana dashboard at it and pretend it's a Prometheus server) -- You received this message because you are subscribed to the Google Groups "Prometheus Users" group. To unsubscribe from this group and stop receiving emails from it, send an email to prometheus-users+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/prometheus-users/f934a1da-02ce-4d16-a541-a9d65267da0bo%40googlegroups.com.
