May 2019
Intermediate to advanced
442 pages
11h 36m
English
Content preview from Hands-On Infrastructure Monitoring with Prometheus
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Aggregation operations over time
The aggregation operations we discussed earlier are always applied to instant vectors. When we need to perform those aggregations on range vectors, PromQL provides the *_over_time family of functions, which work as described in the Horizontal aggregation section of Chapter 4, Prometheus Metrics Fundamentals. All of them take a range vector and output an instant vector. Following is the description of the operations:
|
Operation |
Description |
|
avg_over_time() |
Average value of all samples in the range. |
|
count_over_time() |
Count of all samples in the range. |
|
max_over_time() |
Maximum value of all samples in the range. |
|
min_over_time() |
Minimum value of all samples in the range. |
|
quantile_over_time() ... |
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