The Prometheus monitoring system and time series database.
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Julius Volz e91d85b498 Merge pull request #1116 from prometheus/fix-tm-done
Fix target manager CPU busyloop caused by bad done-channel handling.
2015-09-28 12:31:26 +02:00
cmd Make -web.external-url help string more verbose. 2015-09-16 20:35:23 +02:00
config Allow labelmap action 2015-09-21 15:41:19 -04:00
console_libraries Add console template for Prometheus itself 2015-08-07 16:34:48 +01:00
consoles web: Support multiple names for console graphs. 2015-08-11 23:37:09 +01:00
documentation Merge pull request #1055 from fabric8io/kubernetes-discovery 2015-09-09 11:24:29 +02:00
notification Attach global labels to outgoing alerts. 2015-09-03 16:38:04 +02:00
promql promql: Reduce flakiness of concurrency test 2015-09-23 10:07:30 +01:00
retrieval Fix target manager CPU busyloop caused by bad done-channel handling. 2015-09-28 11:51:16 +02:00
rules Fix unkeyed field errors. 2015-09-18 17:00:08 +02:00
scripts Fix missing go version in build tags 2015-09-18 10:38:26 +02:00
storage Fix InfluxDB write support to work with InfluxDB 0.9.x. 2015-09-16 17:40:03 +02:00
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version Cut Prometheus 0.16.0rc1. 2015-09-18 12:03:57 +02:00
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.dockerignore Add service discovery using Marathon API. 2015-08-10 01:36:24 +02:00
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Prometheus Build Status Circle CI

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Prometheus' main distinguishing features as compared to other monitoring systems are:

  • a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
  • a flexible query language to leverage this dimensionality
  • no dependency on distributed storage; single server nodes are autonomous
  • timeseries collection happens via a pull model over HTTP
  • pushing timeseries is supported via an intermediary gateway
  • targets are discovered via service discovery or static configuration
  • multiple modes of graphing and dashboarding support
  • federation support coming soon

Architecture overview

Install

There are various ways of installing Prometheus.

Precompiled binaries

Precompiled binaries for released versions are available in the releases section of the GitHub repository. Using the latest production release binary is the recommended way of installing Prometheus.

Debian and RPM packages are being worked on.

Building from source

To build Prometheus from the source code yourself you need to have a working Go environment with version 1.5 or greater installed.

You can directly use the go tool to download and install the prometheus and promtool binaries into your GOPATH:

$ go get github.com/prometheus/prometheus/...
$ prometheus -config.file=your_config.yml

You can also clone the repository yourself and build using make:

$ mkdir -p $GOPATH/src/github.com/prometheus
$ cd $GOPATH/src/github.com/prometheus
$ git clone https://github.com/prometheus/prometheus.git
$ cd prometheus
$ make
$ ./prometheus -config.file=your_config.yml

The Makefile provides several targets:

  • build: build the prometheus and promtool binaries
  • test: run the tests
  • format: format the source code
  • vet: check the source code for common errors
  • assets: rebuild the static assets
  • docker: build a docker container for the current HEAD

More information

  • The source code is periodically indexed: Prometheus Core.
  • You will find a Travis CI configuration in .travis.yml.
  • All of the core developers are accessible via the Prometheus Developers Mailinglist and the #prometheus channel on irc.freenode.net.

Contributing

Refer to CONTRIBUTING.md

License

Apache License 2.0, see LICENSE.