docker-speedtest-grafana

Docker setup consisting out of Grafana incl. a pre-configured dashboard, InfluxDB and a speedtest.net CLI test runner.

Installation

1. Make sure you've installed all requirements
2. Clone this repository:

git clone https://github.com/frdmn/docker-speedtest-grafana

3. Create a copy of the sample .env file and adjust it at will:

cp .env.sample .env

4. Spin up the containers:

docker-compose up -d

Configuration

You can make use of the following environment variables / configurations:

Environment variable	Default value	Description
GRAFANA_PORT	3000	Port to bind Grafana webinterface on the host system
SPEEDTEST_SPEEDTEST_INTERVAL	3600	Interval/pause (in seconds) between speedtests
SPEEDTEST_HOST	local	Display name of the client
SPEEDTEST_SERVER	none	Optionally set specific speedtest.net derver ID, otherwise use the closest
INFLUXDB_DB	speedtest	Database to save speedtest results
INFLUXDB_HOST	influxdb	Name of the InfluxDB host/containers
INFLUXDB_USERNAME	root	Username for InfluxDB authentication
INFLUXDB_PASSWORD	root	Password for InfluxDB authentication

Usage

Services

Start/create services

$ docker-compose up -d
Creating speedtest_influxdb_1  ... done
Creating speedtest_grafana_1   ... done
Creating speedtest_speedtest_1 ... done

Stop services

$ docker-compose stop
Stopping speedtest_influxdb_1  ... done
Stopping speedtest_grafana_1   ... done
Stopping speedtest_speedtest_1 ... done

Upgrade services

$ docker-compose stop
$ docker-compose pull
$ docker-compose rm
$ docker-compose up -d

Check logs

$ docker-compose logs -f

$ docker-compose logs -f grafana

Grafana

Dashboard

By default the dashboard shows all speedtest results. To filter for a specifc host, simply add a and host = 'local' statement in the WHERE clause of the SQL select.

Example (Download Time Serie):

SELECT mean("value") FROM "download" WHERE $timeFilter and host = 'local' GROUP BY time($interval) fill(null)

Administrative access

Access http://${HOSTNAME}:${GRAFANA_PORT} (http://localhost:3000 by default) and login using the following default credentials:

• Username: admin
• Password: admin

Contributing

1. Fork it
2. Create your feature branch:

git checkout -b feature/my-new-feature

3. Commit your changes:

git commit -am 'Add some feature'

4. Push to the branch:

git push origin feature/my-new-feature

5. Submit a pull request

Requirements / Dependencies

• Docker (incl. docker-compose)

Version

1.0.0

License

MIT