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PromQL

PromQL (Prometheus Query Language) is a functional query language designed for querying time-series data from Prometheus, a popular open-source monitoring and alerting toolkit. It allows users to select, aggregate, and perform operations on time-series data to extract insights, create dashboards, and set up alerts based on metrics. PromQL is essential for analyzing system performance, resource usage, and application behavior in real-time monitoring scenarios.

Also known as: Prometheus Query Language, PrometheusQL, PQL, PromQL query language, Prometheus query
🧊Why learn PromQL?

Developers should learn PromQL when working with Prometheus for monitoring cloud-native applications, microservices, or infrastructure, as it enables querying metrics like CPU usage, request rates, or error counts to diagnose issues and optimize performance. It is particularly useful for DevOps and SRE roles to set up custom alerts, create Grafana dashboards, and perform ad-hoc analysis of time-series data in Kubernetes or containerized environments.

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