I've gone over Brians post here that provides a handy calculator that makes it easy to calculate rough estimates on consumption:
https://www.robustperception.io/how-much-ram-does-prometheus-2-x-need-for-cardinality-and-ingestion However, I am trying to break this formula down into something I can use outside of the page and I'm struggling a bit. Based on the calculator in the post itself. Based on the article: This works out then as about 732B per series, another 32B per label pair, > 120B per unique label value and on top of all that the time series name > twice. Last, but not least, all of that must be doubled given how Go > garbage collection works. According to the image in the post, time series name (PromParser.Metric) is 320B. So I'm interpreting this as, based on the default 1,000,000 time series in the calculator (*Ignoring Unique Labels as those are negligible)*: Avg. Timeseries Size: 732B # of Series: 1000000 Label Size: 20B (5 Labels) Timeseries Name: 320B ((732+320+320+100)×2) × 1000000 = 2944000000 This is way above what's suggested (2GB per 1,000,000 records) and I'm certain I'm missing something. Can someone break this down for me so it makes more sense? Kind regards, Aaron -- 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/56bccff9-4986-4f7c-ab8c-df89f372436a%40googlegroups.com.
