4 ms·
Not quite. What you calculated is the probability that visitors will not hit the p99 case on all their requests. In other words, the chance of getting a p99 res
by dmit 10y ago
Not quite. What you calculated is the probability that visitors will not hit the p99 case on all their requests. In other words, the chance of getting a p99 response on all 100 requests is infinitesimal.
The chance of getting at least one p99 response out of a hundred is 1 - 0.99^100 ≈ 63%.
https://latencytipoftheday.blogspot.com/2014/06/latencytipoftheday-most-page-loads.html https://latencytipoftheday.blogspot.com/2014/06/latencytipof...
- forgotpwtomain 10y agoThis is only if it's Markovian - but it almost certainly is not. If you need X requests served for a full page-load (or whichever for the primary functionality of the page), you should be totaling those request times into a single entry for your histogram, otherwise you are calculating the distribution of something potentially useless (e.g. 50% of page_is_broken_without_it.js might actually be in p99 even if that file is 1% of your requests and the generic histogram might look deceptively good).