In this tutorial we are going to have a Moodle Instance up and running on a Virtual Machine – inside Docker Containers.
First of all, install and get Docker up and running. Then, download Moodle or make sure you have a Git-Repository ready at hand. We are going to use docker-compose for this task. Now let’s try and Run Moodle with Docker.
Moodle with Docker
We need a container that will have all the needed technology to run and serve the Moodle source code (your repository). This configuration will come from an Image, that we will use and configure through a docker-compose.yml file. Create a file docker-compose.yml and insert the version of docker-compose syntax that we are going to use:
These Technologies are needed:
- Moodle Container
- Operating System (Ubuntu)
- Server (Apache2, Nginx)
- PHP7.x (incl. php-curl, php-mysql, etc.)
- Database Container
- MariaDB 10+
Database Docker Image
We are going to use a simple and straightforward solution from bitnami. We simple create a service that will use this image, and set some parameters like username, db_name, etc.
services: mariadb: image: "bitnami/mariadb:10.1" networks: - moodle-net environment: - MARIADB_USER=bn_moodle - MARIADB_DATABASE=bitnami_moodle - ALLOW_EMPTY_PASSWORD=yes volumes: - type: bind source: /home/maria_data target: /bitnami ports: - "3306:3306"
We call our service ‘mariadb’, expose some ports (3306) and bind a volume to persist our data on our host machine. We also attach ‘mariadb’ to a network moodle-net.
sudo chmod a+rwx /home/maria_data/
Server Docker Image
Let’s pull and test the PHP & Apache image first.
#Download docker pull webdevops/php-apache:7.3 # Run Image (Copy image ID. 'docker images') docker run -d -p 80:80 efec3d223189
Now navigate to localhost or your public IP Address. You should see an empty Apache2 page.
This page is the result of the file ‘index.php’ in container in folder /app. Worked fine. To use this image as a service in our config file, we need to create a new service in docker-compose.yml.
moodle: image: "webdevops/php-apache:7.3" networks: - moodle-net environment: - MOODLE_DBHOST=mariadb - MOODLE_DBPORT=3306 - MOODLE_DBUSER=bn_moodle - MOODLE_DBPASS='' - MOODLE_DBNAME=bitnami_moodle ports: - "80:80" - "443:443" volumes: - type: bind source: /home/moodle_data target: /moodledata/moodledata - type: bind source: /home/gita-moodle target: /app depends_on: - mariadb
We specify the image that we tested previously. Specify the network to be same as the network of mariadb container. The Env Vars that we define, will be used by moodle in config.php. We open ports and specify the volumes. We make sure that moodle container only starts after mariadb container is up with the depends_on option. Make sure /home/moodle_data is writable.
sudo chmod a+rwx /home/moodle_data/
Before we continue, in these courses you can learn how to create backend and frontend application. Both of which you can easily deploy and serve with Docker. And now you know how to use docker-compose. Expand your skill-set with these courses.
At last, we need to define our network and volumes:
networks: moodle-net: driver: bridge volumes: mariadb_data: driver: local moodle_data: driver: local
Now let’s boot up these containers with and visit localhost or your public ip.
docker-compose up -d
You should see the installation process. Enter your Database data (see ENV VARS in MariaDB Service. After that a config.php file will be created. If not, copy the code and create a config.php file in root folder.
After finishing up the setup process of moodle, you’ll finally see your ready working moodle instance. Now you run Moodle with Docker Containers.
After setting up moodle. Your host volumes/folders will be filled with data that comes from containers. E.g. moodle population a predefined folder structure in moodle_data.
ls moodle_data/ cache filedir lang localcache lock moodle muc sessions temp trashdir
Same, and more importantly, applies to mariadb container. Our Database is now persisted on our host machine.
/home/maria_data/mariadb/data# pwd /home/maria_data/mariadb/data /home/maria_data/mariadb/data# ls aria_log.00000001 aria_log_control bitnami_moodle ibdata1 ib_logfile0 ib_logfile1 multi-master.info mysql mysql_upgrade_info performance_schema tc.log test
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Andrey Bulezyuk is the founder of German IT Academy and a course creator. He mainly covers topics from Web Development (NodeJS, VueJS, Django etc.) to Data Science (Pandas, Numpy) and Machine Learning (Tensorflow, Keras, etc.). He published a German book “Algorithmic Trading“, giving his readers the opportunity to learn how to code automatic trading systems for the stock market or the Forex. He has experience as a Backend and Frontend Developer. In his early years he worked on Web Projects as a Freelancer. Switched later to Financial Market System Developing. Currently employed as Machine Learning Engineer. He takes part in different projects and acts as a Co-Founder in different small start-ups. Andrey Bulezyuk was an employed Full-Stack Developer in Munich. Currently his duties do cover areas of Machine Learning and ETL.