Circllhist.

Super-High Granularity

Each test run could generate substantial data, which needs to be stored and analysed in an automated fashion, sometimes in a very short time, especially, if the testing is part of a more complex process and the results are affecting the downstream steps. The output is essentially a semaphor-like evaluation, where the recorded values need to meet certain criteria or passing certain thresholds. For this, histograms are an ideal format, to record, store and/or analyse the results and quickly evaluate.

The circllhist histogram is a fast and memory efficient data structure for summarizing large numbers of latency measurements. It is particularly suited for applications in IT infrastructure monitoring, and provides nano-second data insertion, full mergeability, accurate approximation of quantiles with a-priori bounds on the relative error.