- Free open-source software
- 100% data ownership
- User privacy protection
- User-centric insights
- Customisable and extensible
In keeping with a 'pure' micro-services approach, this image runs a Matomo service only (in the form of FastCGI). Because of that it must be used with companion containers which provide a database for data storage and HTTP to FastCGI proxy/translation services for the user interface.
You can run the Matomo container and service like so:
docker run -d --link some-mysql:db matomoThis assumes you've already launched a suitable MySQL or MariaDB database container.
You'll now need to use a suitable reverse proxy to access the user interface; which is available on TCP port 9000. Nginx provides the necessary functions for translation between HTTP and FastCGI.
Once you're up and running, you'll arrive at the configuration wizard page. If you're using the compose file, at the Database Setup step, please enter the following:
- Database Server:
db - Login:
root - Password: MYSQL_ROOT_PASSWORD
- Database Name: matomo (or you can choose)
And leave the rest as default.
Then you can continue the installation with the super user.
A minimal set-up using docker-compose is available in the .examples folder, a more complete example can be found at IndieHosters/piwik.
If you want to use the import logs script, you can then run the following container as needed, in order to execute the python import logs script:
docker run --rm --volumes-from="matomo_app_1" --link matomo_app_1 python:2-alpine python /var/www/html/misc/log-analytics/import_logs.py --url=http://ip.of.your.matomo --login=yourlogin --password=yourpassword --idsite=1 --recorders=4 /var/www/html/logs/access.log
Pull requests are very welcome!
We'd love to hear your feedback and suggestions in the issue tracker: github.com/motomo-org/docker/issues.
This product includes GeoLite data created by MaxMind, available from http://www.maxmind.com.