Prometheus - Query (PromQL, Expression)

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Query / Expression


Time Series

  • return the time series of the metric name promhttp_metric_handler_requests_total with different labels by requests statuses.


  • requests that resulted in HTTP code 200


  • Number of times serie data by metrics

Request Rate

-- the per-second HTTP request rate returning status code 200
-- Given an HTTP request counter, this query calculates the per-second average request rate over the last 5 minutes.


  • 95th Percentile of Request Latencies: Calculates the 95th percentile of HTTP request rate over 5 minute windows.
histogram_quantile(0.95, sum(rate(prometheus_http_request_duration_seconds_bucket[5m])) by (le))


  • Alerts Firing: Sums up the alerts that have been firing over the last 24 hours.
sort_desc(sum(sum_over_time(ALERTS{alertstate="firing"}[24h])) by (alertname))



Navigate to the server (http://localhost:9090/graph) and choose:

  • the “Console” (to see the data)
  • or the graph tab (to graph)


Defines the graph resolution using a duration format (15s, 1m, 3h, …). Small steps create high-resolution graphs but can be slow over larger time ranges. Using a longer step lowers the resolution and smooths the graph by producing fewer datapoints. If no step is given the resolution is calculated automatically.

Documentation / Reference

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alert in prometheus Alerts Firing: Sums up the alerts that have been firing over the last 24 hours.
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The Prometheus server is the server of the monitoring prometheus system The server is: a time series database that can be queried with promql a collector that scrap the metrics from exporter. ...
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Prometheus - Time Serie

All data stored and manipulated are time series in Prometheus server making it a time serie database. Every time series is uniquely identified by: its metric name and optional key-value pairs called...

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