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Hands-On Infrastructure Monitoring with Prometheus
book

Hands-On Infrastructure Monitoring with Prometheus

by Joel Bastos, Pedro Araújo
May 2019
Intermediate to advanced
442 pages
11h 36m
English
Packt Publishing
Content preview from Hands-On Infrastructure Monitoring with Prometheus

Cross-sectional aggregation

Cross-sectional aggregations are the easiest to understand. As we can see in the following data representation, we take a column of data and apply an aggregation function to it:

Location/Time t=0 t=1 t=2 t=3 t=4 t=5 t=6
Factory 1,045 1 2 3 4 5 6
Warehouse 223 223 223 223 224 224 224
Headquarters 40160 40,162 40,164 40,166 40,168 40,170 40,172

If we apply the max() aggregation, we can find out which location reported more coffees were dispensed—in this case, the result would be 40,172. Applying count() would give us the number of offices reporting data for the dimensions that were selected ({company=ACME, beverage=coffee}): 3.

It's not generally sane to apply max() to a counter, as we'll see in ...
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Publisher Resources

ISBN: 9781789612349