I was surprised to see such miserable measured latency to Fly, but then I saw this note: > The primary region of our server is Amsterdam, and the fly instances is getting paused after a period of inactivity. After they configured Fly to run nonstop, it outperformed everyone by 3x. But it seems like they're running the measurement from Fly's infrastructure, which biases the results in Fly's favor. Also weird that they…
I’m not sure what’s customary in most places, but in my experience you base most things off of avg and p99 and then you can use other percentiles to interpolate the shape of the distribution in the event you need a better model (you usually don’t). Of course I’m sure this sort of thing varies wildly by use case.
Looking at Google's SRE book, they use p50, p85, p95, and p99, so it's possible I'm misremembering or that Google uses unusual metrics:
https://sre.google/sre-book/service-level-objectives/#fig_sl...