The PromQL cheatsheet explains Prometheus’ multidimensional metrics model and how to query time series using selectors, label matchers, range vectors, and the offset modifier. It summarizes core PromQL building blocks: math functions (for example log and round), clamping, timestamps and date functions, and aggregators like sum, count, min/max, avg, topk/bottomk, with by/without for label control. It covers binary and set operators, matching rules with on and ignoring, and many-to-one joins using group_left or group_right. For counters and gauges it highlights rate, increase, irate, resets, and time-aggregation functions like avg_over_time and quantile_over_time, plus subqueries, histogram_quantile usage, handling missing data with absent, bool vs filtering comparisons, and label manipulati

Join for free to read