No, I meant what are your actual production numbers for samples per second and number of metrics. Not "which one".
For 1 billion samples per second, how many servers and how many CPUs are required? How much memory is require? How long can that ingestion rate be sustained for? On Sun, Oct 4, 2020 at 7:43 PM Harkishen Singh <[email protected]> wrote: > Both, number of metrics and samples per seconds in terms of ingestion > rates. I have seen TimescaleDB personally ingesting a billion rows a second > and that's a good scale. > > On Sunday, October 4, 2020 at 10:53:51 PM UTC+5:30 [email protected] wrote: > >> What is "at scale" to you? Number of metrics? Samples per second? >> >> On Sun, Oct 4, 2020 at 7:19 PM Harkishen Singh <[email protected]> >> wrote: >> >>> I have been using TimescaleDB for quite some time and everything is >>> going great! No problems so far even when at scale. So, should be great to >>> use for you as well. >>> >>> -- > 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 [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/prometheus-users/4a46d611-613b-454b-9913-d7bb664f6c5bn%40googlegroups.com > <https://groups.google.com/d/msgid/prometheus-users/4a46d611-613b-454b-9913-d7bb664f6c5bn%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- 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 [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/prometheus-users/CABbyFmqOJyte29%3Dzob2%3DR7dYBs%3DV9rW9Ee7eMmfX54ZzDBCf-A%40mail.gmail.com.
