PromQL (Prometheus Query Language) is the query language used by Prometheus to select and aggregate time series data. It supports instant and range queries, aggregations, and mathematical operations.

Does the builder support recording rules?

Yes. You can build PromQL expressions and export them as Prometheus recording rules or alerting rules in YAML format.

Can I test queries against live data?

The builder helps you construct syntactically correct PromQL queries. To test against live data, copy the query into your Prometheus or Grafana instance.

What aggregation operators are supported?

The builder supports all PromQL aggregation operators: sum, min, max, avg, count, stddev, stdvar, topk, bottomk, count_values, and quantile.

PromQL Query Builder — Visual Prometheus Query Tool

📋 Quick Templates

1. Metric

Metric Name

Common Metrics

2. Label Filters

Tip: use =~ for regex match, !~ for regex exclusion

3. Function / Operation

Function

Range Interval

Group By Labels (optional)

None
by()
without()

4. PromQL Output

Generated Query

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📚 PromQL Quick Reference
rate(metric[5m]) — per-second rate for counters (use for request counts, bytes)
irate(metric[5m]) — instantaneous rate (more spiky, better for alerts)
sum by(label) — aggregate across all time series, group by label
topk(5, metric) — return the 5 highest-valued time series
bottomk(5, metric) — return the 5 lowest-valued time series
histogram_quantile(0.95, rate(...)) — P95 latency from histogram
{label=~"regex"} — regex label match | {label!="val"} — exclusion

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Related Resources

🔥 Prometheus Releases 📋 Prometheus Version History

📋 Quick Templates

1. Metric

2. Label Filters

3. Function / Operation

4. PromQL Output

Related Resources

</> Embed PromQL Query Builder