The Prometheus monitoring system and time series database.
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Björn Rabenstein 0f412e7e26 Merge pull request #2422 from levenlabs/nameList
discovery: Instead of looping over conf.Search, use NameList()
2017-02-14 17:48:06 +01:00
.github .github: Add issue template 2016-06-06 11:48:14 +02:00
cmd Fixed style issues. 2017-01-16 16:45:58 +00:00
config Cleaner separation between ServiceAccount and custom authentication in K8S SD (#2348) 2017-01-19 10:52:52 +01:00
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consoles Add various persistence related metrics (#2333) 2017-01-11 15:11:19 +00:00
discovery discovery: Instead of looping over conf.Search, use NameList() 2017-02-13 15:48:51 -05:00
documentation Kubernetes SD: Fix namespace meta label 2017-02-06 13:28:12 -08:00
notifier Correct notifications_dropped description 2017-01-13 23:36:00 +00:00
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relabel Only clone the metric in the one place relabelling needs it. (#2292) 2016-12-21 10:00:33 +00:00
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template storage: Contextify storage interfaces. 2016-09-19 16:29:07 +02:00
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Prometheus Build Status

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Visit prometheus.io for the full documentation, examples and guides.

Prometheus, a Cloud Native Computing Foundation project, 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
  • support for hierarchical and horizontal federation

Architecture overview

Install

There are various ways of installing Prometheus.

Precompiled binaries

Precompiled binaries for released versions are available in the download section on prometheus.io. Using the latest production release binary is the recommended way of installing Prometheus. See the Installing chapter in the documentation for all the details.

Debian packages are available.

Docker images

Docker images are available on Quay.io.

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. We use Go 1.5's experimental vendoring feature, so you will also need to set the GO15VENDOREXPERIMENT=1 environment variable in this case:

$ GO15VENDOREXPERIMENT=1 go get github.com/prometheus/prometheus/cmd/...
$ 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 build
$ ./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.
  • See the Community page for how to reach the Prometheus developers and users on various communication channels.

Contributing

Refer to CONTRIBUTING.md

License

Apache License 2.0, see LICENSE.