If you don't instrument your Go apps with custom metrics exported via Prometheus format, then stop reading.
Prometheus histograms have multiple long-standing issues, which limit histograms usability: - How to choose the ultimate set of histogram buckets that cover all the value ranges with enough precision? - How to limit the number of histogram buckets in order to reduce the total number of time series that needs to be stored in Prometheus (aka "high cardinality" issue)? - How to compute quantiles and build heatmaps across multiple histograms with different set of buckets? All these issues are solved with Histogram <https://godoc.org/github.com/VictoriaMetrics/metrics#Histogram> from github.com/VictoriaMetrics/metrics package. This article <https://medium.com/@valyala/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350> contains more details. -- You received this message because you are subscribed to the Google Groups "golang-nuts" group. To unsubscribe from this group and stop receiving emails from it, send an email to golang-nuts+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/golang-nuts/df28b8a4-d81b-4298-ae99-605656dfce0e%40googlegroups.com.
