We provide precompiled binaries for most official Prometheus components. Check out the download section for a list of all available versions.
For building Prometheus components from source, see the Makefile targets in
the respective repository.
All Prometheus services are available as Docker images under the prom organization.
Running Prometheus on Docker is as simple as docker run -p 9090:9090
prom/prometheus. This starts Prometheus with a sample configuration and
exposes it on port 9090.
The Prometheus image uses a volume to store the actual metrics. For production deployments it is highly recommended to use the Data Volume Container pattern to ease managing the data on Prometheus upgrades.
To provide your own configuration, there are several options. Here are two examples.
Bind-mount your prometheus.yml from the host by running:
docker run -p 9090:9090 -v /tmp/prometheus.yml:/etc/prometheus/prometheus.yml \
prom/prometheus
Or use an additional volume for the config:
docker run -p 9090:9090 -v /prometheus-data \
prom/prometheus -config.file=/prometheus-data/prometheus.yml
To avoid managing a file on the host and bind-mount it, the configuration can be baked into the image. This works well if the configuration itself is rather static and the same across all environments.
For this, create a new directory with a Prometheus configuration and a
Dockerfile like this:
FROM prom/prometheus
ADD prometheus.yml /etc/prometheus/
Now build and run it:
docker build -t my-prometheus .
docker run -p 9090:9090 my-prometheus
A more advanced option is to render the configuration dynamically on start with some tooling or even have a daemon update it periodically.
If you prefer using configuration management systems you might be interested in the following third-party contributions:
This documentation is open-source. Please help improve it by filing issues or pull requests.