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 when specified conditions are observed.
The features that distinguish Prometheus from other metrics and monitoring systems are:
- A multi-dimensional data model (time series 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
- An HTTP pull model for time series collection
- Pushing time series is supported via an intermediary gateway for batch jobs
- Targets are discovered via service discovery or static configuration
- Multiple modes of graphing and dashboarding support
- Support for hierarchical and horizontal federation
There are various ways of installing Prometheus.
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 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/.
To build Prometheus from source code, first ensure that have a working Go environment with version 1.14 or greater installed. You also need 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:
$ GO111MODULE=on 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
prometheusandpromtoolbinaries (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
- assets: build the new experimental React UI
The make docker target is designed for use in our CI system.
You can build a docker image locally with the following commands:
$ make promu
$ promu crossbuild -p linux/amd64
$ make npm_licenses
$ make common-docker-amd64
NB if you are on a Mac, you will need gnu-tar.
For more information on building, running, and developing on the new React-based UI, see the React app's README.md.
- 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.
Refer to CONTRIBUTING.md
Apache License 2.0, see LICENSE.