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· 2 min read
Hreniuc Cristian-Alexandru


To run a container with prometheus, we need two things:

  • prometheus.yml file
  • Docker volume

The prometheus.yml file should contain something like this:

# my global config
scrape_interval: 5s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 5s # Evaluate rules every 15 seconds. The default is every 1 minute.

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'prometheus'
- targets: ['localhost:9090']

- job_name: 'docker'
- targets: ['localhost:9999']

- job_name: 'other_collector'
scrape_interval: 1s
- targets: ['']

To create a docker volume, run:

docker create volume prometheus_data

This way, your collected data won\'t be lost on restarts.

docker run -d --restart=always --name=prometheus --network=host -v /path/to/prometheus.yml:/etc/prometheus/prometheus.yml -v prometheus_data:/prometheus prom/prometheus

You should open the browser and check if everything works, by default it is 9090 port.


For grafana we will also use a docker volume:

docker create volume grafana_data

This way we will save all data from grafana(panels, users, etc...).

To run the grafana container, simply run:

docker run -d --name=grafana --restart=always --network=host -e GF_SERVER_ROOT_URL= -e GF_SECURITY_ADMIN_PASSWORD=secret -v grafana_data:/var/lib/grafana grafana/grafana

You can check it on port 3000.

Now you should add the Prometheus server as a data source. You can do this by going to Configuration -> Datasources -> Select Prometheus