In statistics, `n-th`

percentile represents the value below which `n%`

records can be found. It's calculated by sorting a data set and dividing it into 100 equal groups, and then dividing the same data set into two parts where the lower part contains `n%`

of the data, and the higher part contains the rest.

50th percentile of a data set is equal to its MedianMedian

In statistics, Median is the number sitting in the middle of a sorted set of numbers.

// not the actual way to do it, just pointing out the idea

const median = (sortedArray) => sortedArray[arr....

For example, if we talk about Measuring Request LatencyMeasuring Request Latency

Latency is the time taken to serve a request, and is one of [[The Four Golden Signals of Monitoring]].

The most common metric looked at here is usually the [[Mean]] latency, but this can easily be..., 95th percentile is the time in which 95% of all the requests will be completed.

Looking at the 99th percentile will give us a time in which all of our requests would be completed, excluding the slowest 1%.

Status: #🌲