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 to either …

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, it is a good …

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 OpenMetrics format, which …

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 series, Prometheus …

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

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.

A single instance of Prometheus can be more performant than some systems positioning themselves as long term storage solution for Prometheus. You can run Prometheus reliably with tens of millions of …

There are a number of libraries and servers which help in exporting existing metrics from third-party systems as Prometheus metrics. This is useful for cases where it is not feasible to instrument a given …