An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.

Prometheus scrapes metrics from instrumented jobs, either directly or via an intermediary push gateway for short-lived jobs. It stores all scraped samples locally and runs rules over this data …

Since Prometheus exposes data in the same manner about itself, it can also scrape and monitor its own health. While a Prometheus server that collects only data about itself is not very useful, …

Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time …

Query log TLS encryption Tutorials Getting started with Prometheus Understanding metric types Instrumenting HTTP server written in Go Visualizing metrics using Grafana

A typical use case is to migrate metrics data from a different monitoring system or time-series database to Prometheus. To do so, the user must first convert the source data into …

Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time.

Downloads for the latest releases of the Prometheus monitoring system and its major ecosystem components.

Prometheus's service discovery integrates with most tools and clouds. Its dimensional data model and scale into the tens of millions of active series allows it to monitor large cloud-native …

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 …