
Querying basics - Prometheus
Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time.
Overview - Prometheus
Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud . Since its inception in 2012, many companies and organizations have adopted Prometheus, and the …
Query examples - Prometheus
Prometheus project documentation for Query examples
Prometheus - Monitoring system & time series database
Designed for the cloud native world, Prometheus integrates with Kubernetes and other cloud and container managers to continuously discover and monitor your services.
Query functions - Prometheus
This query is not only verbose and hard to write, it might also run into an “identity crisis”: If any of the data labels of target_info changes, Prometheus sees that as a change of series (as alluded to above, …
Download - Prometheus
Downloads for the latest releases of the Prometheus monitoring system and its major ecosystem components.
Getting started - Prometheus
Prometheus collects metrics from targets by scraping metrics HTTP endpoints. Since Prometheus exposes data in the same manner about itself, it can also scrape and monitor its own health.
Tutorials - Prometheus
Query log TLS encryption Tutorials Getting started with Prometheus Understanding metric types Instrumenting HTTP server written in Go Visualizing metrics using Grafana
First steps with Prometheus
In this guide, you installed Prometheus, configured a Prometheus instance to monitor resources, and learned some basics of working with time series data in Prometheus' expression browser.
Installation - Prometheus
Prometheus data is stored in /prometheus dir inside the container, so the data is cleared every time the container gets restarted. To save your data, you need to set up persistent storage (or bind mounts) …