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Prometheus Aggregation Functions on Range Vectors

  • 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.

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