Getting started with PromQL
Blog post from Sysdig
"Getting started with PromQL" provides an introduction to Prometheus Query Language (PromQL) and its application in querying data stored in Prometheus' time-series database. The article explains the structure of time-series data, where each time series is associated with a metric name and labels, and describes the four types of metrics: gauges, counters, histograms, and summaries. It outlines how to select and aggregate data using PromQL, employing selectors, arithmetic operators, and functions like rate and predict_linear, to perform complex queries and generate insights. The text also highlights the availability of additional resources, such as a downloadable PromQL cheatsheet, a curated PromQL Library, and a free trial of Sysdig Monitor to enhance the learning and application of PromQL in monitoring systems. These resources are designed to help users understand how to efficiently query and analyze time-series data, ultimately aiding in the effective monitoring of systems like Kubernetes.