flâneur — a map of the web's best reading

Why Percentiles Don’t Work the Way You Think - Orange Matter

orangematter.solarwinds.com · 2,769 words · saved by 1 readers

We plan to add such a feature to Database Performance Monitor (DPM)(more on that later). But a lot of the time, when customers make this request, they have something very specific, and different, in mind. They’re not asking for the 99th percentile of a metric, they’re asking for a metric of 99th percentile. This is very common in systems like Graphite, and it doesn’t achieve what people sometimes think it does. This blog post explains how percentiles might trick you, the degree of the mistake or problem (it depends), and what you can do if percentile metrics aren't right for you. Over the last few years, a lot of people have started talking about the problems with averages in monitoring. It’s good this topic is in wider discussion now, because for a long time averages were accepted without much deeper inspection. Averages can be unhelpful when it comes to monitoring. If you’re merely looking at averages, you’re potentially missing the outliers, which might matter a lot more. There are

Why Percentiles Don’t Work the Way You Think - SolarWinds Blog / Database Why Percentiles Don’t Work the Way You Think Baron Schwartz November 18, 2016 Copied URL! Page Contents Page Contents Customers ask us for p99 (99th percentile) of metrics pretty frequently. We plan to add such a feature to Database Performance Monitor (DPM)(more on that later). But a lot of the time, when customers make this request, they have something very specific, and different, in mind. They’re not asking for the 99th percentile of a metric, they’re asking for a metric of 99th percentile. This is very common in sys

Explore this link on the map →

related reading