May 2019
Intermediate to advanced
442 pages
11h 36m
English
Content preview from Hands-On Infrastructure Monitoring with Prometheus
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Summaries
Summaries are similar to histograms in some ways, but present different trade-offs and are generally less useful. They are also used to track sizes and latencies, and also provide both a sum and a count of observed events. Additionally (and if the client library used supports it), summaries can also provide pre-calculated quantiles over a predetermined sliding time window. The main reason to use summary quantiles is when accurate quantile estimation is needed, irrespective of the distribution and range of the observed events.
Quantiles in Prometheus are referred to as φ-quantiles, where 0 ≤ φ ≤ 1.
Both quantiles and sliding window size are defined in the instrumentation code, so it's not possible to calculate other quantiles or ...
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