PromQL supports line comments that start with #. Example:

September 2, 2023 - For instance, ask for counters up until two days ago in this PromQL example:

For example, if the time series you're querying has the following labels: * namespace * container * pod * user To search for a namespace label that starts with **kub**, run the following query: `container_memory_working_set_bytes{namespace=~"kub.+"}`

October 14, 2024 - These PromQL examples demonstrate how to use Counters in Prometheus for tracking totals, rates, and increases over time, making them ideal for monitoring things like request counts, error rates, resource usage, and more.

November 29, 2024 - For example: ... This can reveal bottlenecks or mismatches in service interactions. ... This query lists the top 10 metrics with the highest number of time series. ... This query returns 0 for any missing data points in http_requests_total. SigNoz is a comprehensive open-source APM and observability platform that complements Prometheus and extends PromQL capabilities.

June 15, 2026 - This guide covers practical Prometheus query examples from basic metric selection to advanced alerting and anomaly detection. Each example shows the query, what it returns, and how to adapt it for your own metrics. PromQL is Prometheus’s query language.

February 26, 2025 - The logical operators in PromQL (and, or, unless) are used to combine or filter instant vectors based on label sets and conditions. These operators operate only on instant vectors and help refine or manipulate query results. Let's look at each one in turn. The and operator computes the intersection of two vectors, keeping only the time series from the left-hand vector (vector1) that exist in both vectors and have matching label sets. For example, assume the following values for the node_network_receive_bytes_total and node_network_transmit_bytes_total metrics:

June 3, 2025 - PromQL has two operators for counting up elements in a time series. Count() simply gives the total number of elements. Count_values() gives the number of elements within a time series that have a specified value. For example, we could count the number of binaries running each build version with the query:

June 13, 2023 - PromQL allows you to query time series data, which consists of metrics and their corresponding labels. The basic syntax for querying time series is as follows: ... The above example would return an instance vector for each server in your fleet.

rate(promhttp_metric_handler_requests_total) #Error rate(promhttp_metric_handler_requests_total{code="200"}[1m]) # The average amount of CPU time spent in system mode, per second, over the last minute (in seconds) rate(node_cpu_seconds_total{mode="system"}[1m]) # The average network traffic received, per second, over the last minute (in bytes) rate(node_network_receive_bytes_total[1m]) rate(scrape_duration_seconds{instance="localhost:9100"}[1m:20s]) # Usability of such graphs is close to zero, because they show hard-to-interpret constantly growing counter values, while we need graphs for network bandwidth — see MB/s on the left of the graph. PromQL has a magic function for this — rate().

August 1, 2022 - Prometheus Query Language (PromQL) lets users query and aggregate metrics data in Prometheus for further analysis. In this tutorial, we will learn about Prometheus Query Language and see it in action using examples of PromQL...

This is an example of a nested subquery. The subquery for the deriv function uses the default resolution.

For more details about PromQL, see the official PromQL documentation: Basics · Operators · Functions · Examples · Want to learn more?

October 9, 2024 - An example query is sum by (status) (rate(http_requests_total[5m]) > 0). This takes the 5-minute rate of HTTP requests, filters to those that had some requests, then sums by status.

November 12, 2024 - Logical Operators: Booleans are often used with logical operators such as == (equals), != (not equals), and, or, and unless to construct conditional expressions in PromQL queries. Comparison Operators: Boolean expressions often involve comparison operators like <, >, <=, and >= to evaluate conditions based on metric values. Filtering and Filtering Conditions: Booleans are used to filter time series data based on specific conditions, allowing for selective analysis and alerting. Here are examples illustrating the characteristics of the Boolean data type in Prometheus:

June 8, 2026 - Working PromQL examples for group_left, ignoring, and label matching. Written by SREs running Prometheus in production at commerce scale.

February 27, 2024 - Example: ... This query returns the total increase in HTTP errors for the “api” job over the last 30 minutes. PromQL supports various binary operators like +, -, *, and / for arithmetic operations between vectors.

If your Prometheus metric name ... traditional PromQL syntax. For example, a valid query might look like job:my_metric:sum{label_key="label_value"}....

December 16, 2024 - With these basic PromQL queries, you have the tools to monitor and analyze key metrics using Prometheus and Grafana.

Exemplars link aggregated metric data to specific trace examples, letting you jump from a spike directly to a relevant trace. For more information, refer to Introduction to exemplars. ... Exemplars are not available with Instant query types. Builder mode helps you build queries using a visual interface. This option is best for users who have limited experience with PromQL...