Prometheus provides aggregation functions that work with range vectors, representing data over a time range.
Range vectors in Prometheus are sets of data points collected over specific time intervals for analysis.
Aggregation functions like avg_over_time, min_over_time, max_over_time, sum_over_time, count_over_time, quantile_over_time, last_over_time, and present_over_time help analyze range vectors.
These functions allow for various analyses such as calculating averages, finding minimums and maximums, counting occurrences, and providing overall flexibility in working with time-series data in Prometheus.