Prometheus Data Aggregation Guide

Prometheus primarily achieves data aggregation and summarization through the following methods:

1. Prometheus offers a powerful query language called PromQL, which can be used to aggregate and summarize data. With PromQL statements, users can filter, aggregate, and perform calculations on collected data to obtain the desired results.
2. Prometheus supports a range of aggregation operators, such as sum, avg, min, max, etc., which can be used to aggregate and calculate data. These aggregation operators can be used in PromQL statements to aggregate and summarize data.
3. Prometheus also offers a feature called Recording Rules, which allows users to pre-calculate and store commonly used data aggregation results. By defining these rules, Prometheus will automatically calculate them and store the results in a time series database, enabling data aggregation and summarization.

In general, Prometheus makes it easy to aggregate and summarize data using features like PromQL query language, aggregation operators, and Recording Rules. Users can flexibly choose the appropriate method to aggregate and summarize the collected data based on their actual needs.