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.
 
 
 
 
 
jessicagreben 19dee0a569 add name and labels to metric, eval all rules for each block 4 years ago
.circleci
.github
cmd add name and labels to metric, eval all rules for each block 4 years ago
config
console_libraries
consoles
discovery Add UserAgent to Hetzner Robot SD (#8008) 4 years ago
docs
documentation Merge pull request #8054 from simonpasquier/improve-not-ingesting-samples-alert 4 years ago
notifier
pkg labels: Reduce allocated memory and latency of Hash method; Added tests. (#8025) 4 years ago
prompb
promql promql: Organize legacy tests into appropriate files (#7989) 4 years ago
rules fix panics 4 years ago
scrape Fix wordings 4 years ago
scripts
storage Remote: Do not collect non-initialized timestamp metrics (#8060) 4 years ago
template
tsdb add name and labels to metric, eval all rules for each block 4 years ago
util
vendor labels: Reduce allocated memory and latency of Hash method; Added tests. (#8025) 4 years ago
web Implement series API query hint to not hit chunks (#8050) 4 years ago
.dockerignore
.gitignore
.gitpod.yml
.golangci.yml
.promu.yml
CHANGELOG.md *: Cut v2.22.0-rc.0 4 years ago
CODE_OF_CONDUCT.md
CONTRIBUTING.md
Dockerfile
LICENSE
MAINTAINERS.md
Makefile
Makefile.common
NOTICE
README.md
RELEASE.md Reflect automatic docs publishing in the release process (#8056) 4 years ago
VERSION *: Cut v2.22.0-rc.0 4 years ago
fuzzit.sh
go.mod labels: Reduce allocated memory and latency of Hash method; Added tests. (#8025) 4 years ago
go.sum *: Update go dependencies 4 years ago

README.md

Prometheus

CircleCI Docker Repository on Quay Docker Pulls Go Report Card CII Best Practices fuzzit Gitpod ready-to-code

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's 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)
  • PromQL, a powerful and 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.

Docker images

Docker images are available on Quay.io or Docker Hub.

You can launch a Prometheus container for trying it out with

$ docker run --name prometheus -d -p 127.0.0.1:9090:9090 prom/prometheus

Prometheus will now be reachable at http://localhost:9090/.

Building from source

To build Prometheus from the source code yourself you need to have a working Go environment with version 1.13 or greater installed. You will also need to have Node.js and Yarn installed in order to build the frontend assets.

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/cmd/...
$ prometheus --config.file=your_config.yml

However, when using go get to build Prometheus, Prometheus will expect to be able to read its web assets from local filesystem directories under web/ui/static and web/ui/templates. In order for these assets to be found, you will have to run Prometheus from the root of the cloned repository. Note also that these directories do not include the new experimental React UI unless it has been built explicitly using make assets or make build.

An example of the above configuration file can be found here.

You can also clone the repository yourself and build using make build, which will compile in the web assets so that Prometheus can be run from anywhere:

$ 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 (includes building and compiling in web assets)
  • test: run the tests
  • test-short: run the short tests
  • format: format the source code
  • vet: check the source code for common errors
  • docker: build a docker container for the current HEAD
  • assets: build the new experimental React UI

React UI Development

For more information on building, running, and developing on the new React-based UI, see the React app's README.md.

More information

  • The source code is periodically indexed: Prometheus Core.
  • You will find a CircleCI configuration in .circleci/config.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.