The Prometheus monitoring system and time series database.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
Matti Savolainen f867c1fd58 formating and text fixes, adjust regexp 8 years ago
.github
cmd storage: separate chunk package, publish more names 8 years ago
config formating and text fixes, adjust regexp 8 years ago
console_libraries
consoles
documentation Simplify and fix remote write example 8 years ago
notifier Trivial spelling corrections and a small comment. 8 years ago
promql storage: enhance Querier interface usage 8 years ago
relabel Make TargetLabel in RelabelConfig a string 8 years ago
retrieval kubernetes: fix typo in endpoint switch case 8 years ago
rules rules/manager.go: Fix race between reload and stop 8 years ago
scripts
storage Trivial spelling corrections and a small comment. 8 years ago
template storage: Contextify storage interfaces. 8 years ago
util Add HTTP Basic Auth & TLS support to the generic write path. (#1957) 8 years ago
vendor vendor: add testing require dependencies 8 years ago
web Add fuzzy search to /graph textarea (#2081) 8 years ago
.dockerignore
.gitignore
.promu.yml promu: Use default Go version again 8 years ago
.travis.yml Add go_import_path to travis so it works on a fork. (#1995) 8 years ago
AUTHORS.md
CHANGELOG.md Cut v1.2.1 8 years ago
CONTRIBUTING.md
Dockerfile
LICENSE
Makefile Add promu installation logging to Makefile 8 years ago
NOTICE Add fuzzy search to /graph textarea (#2081) 8 years ago
README.md Link to goreport from README 8 years ago
VERSION Cut v1.2.1 8 years ago
circle.yml

README.md

Prometheus Build Status

CircleCI Docker Repository on Quay Docker Pulls Go Report Card

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.
  • 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.