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Yes, it will take a bit of math to figure it all out. You can get counts by job, which should align with your scrape rates. Then factor in the number of bytes per sample. ~1.3 for format 2, ~3.3 for format 1.
Hi,Thank you for suggestion, Indeed this seems to workIf I understand though it shows the number of time series not really amount of data they store or get. In our case we use different scrape rate for different data - ie performance schema events even though has largest number of time series is sampled more rarely than mysql global status
On Tue, Sep 20, 2016 at 9:12 PM, Tobias Schmidt <tob...@gmail.com> wrote:
We don't have detailed per-metric/per-timeseries metrics on disk space usage at this point. A good approximation is to look at the number of time series per metrics as described in http://www.robustperception.io/which-are-my-biggest-metrics/. Querying such expressions at differnt timestamps might help to gain more insight.
On Tue, Sep 20, 2016 at 9:01 PM Peter Zaitsev <p...@percona.com> wrote:
Hi,I wonder is there some built in way to check the space usage by different time series in Prometheus ?We get some users complain about how much space the monitoring uses and it would be great to find out what takes lots of space in their environment to advice them on optimization--
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