The Prometheus monitoring system and time series database.
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Fabian Reinartz 86244db799 Merge pull request #1318 from fabric8io/kubernetes-discovery
Kubernetes SD: Refactor to handle missing Kubernetes events
2016-01-20 18:16:00 +01:00
cmd Fix startup/teardown order, add documentation 2016-01-18 17:34:25 +01:00
config Support AirBnB's Smartstack Nerve client for SD 2016-01-18 14:07:28 +01:00
console_libraries Add blackbox console. 2015-11-01 20:06:52 +00:00
consoles All console expressions should use irate. 2016-01-05 11:53:22 +00:00
documentation Kubernetes Discovery: Ensure metrics path isn't overwritten in example relabeling 2016-01-12 21:06:32 +00:00
notification Fix startup/teardown order, add documentation 2016-01-18 17:34:25 +01:00
promql Support old alerting rule syntax 2016-01-11 12:14:06 +01:00
retrieval Kubernetes SD: Refactor to handle missing Kubernetes events 2016-01-19 20:49:58 +00:00
rules Don't log rule evaluation failure on shutdown 2016-01-18 17:34:25 +01:00
scripts Fix missing go version in build tags 2015-09-18 10:38:26 +02:00
storage Update doc comment 2016-01-12 12:38:18 +01:00
template template: Use zero-values for missing values. 2015-11-28 13:45:32 +00:00
util Support AirBnB's Smartstack Nerve client for SD 2016-01-18 14:07:28 +01:00
vendor Upgrade common/log vendoring. 2016-01-04 14:48:35 +01:00
version Update version on master branch 2015-11-05 10:34:29 +01:00
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.dockerignore Add service discovery using Marathon API. 2015-08-10 01:36:24 +02:00
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NOTICE Add support for Zookeeper Serversets for SD. 2015-06-16 11:02:08 +01:00
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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
  • 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 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. 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
$ ./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.