This method is for deploying Open edX locally on a single server, where docker images are orchestrated with `docker-compose <https://docs.docker.com/compose/overview/>`_.
In the following, environment and data files will be generated in a user-specific project folder which will be referred to as the "**project root**". On Linux, the default project root is ``~/.local/share/tutor``. An alternative project root can be defined by passing the ``--root=...`` option to the ``tutor`` command, or defining the ``TUTOR_ROOT=...`` environment variable::
But you may want to run commands one at a time: it's faster when you need to run only part of the local deployment process, and it helps you understand how your platform works. In the following, we decompose the ``launch`` command.
This is the only non-automatic step in the installation process. You will be asked various questions about your Open edX platform and appropriate configuration files will be generated. If you would like to automate this step then you should run ``tutor config save --interactive`` once. This will generate a ``config.yml`` file in the **project root**. This file contains all the configuration values for your platform, such as randomly generated passwords, domain names, etc. The location of the **project root** can be found by running ``tutor config printroot``. See :ref:`section above <tutor_root>`.
If you want to run a fully automated installation, upload the ``config.yml`` file to wherever you want to run Open edX. You can then entirely skip the configuration step.
This downloads the latest version of the Docker images from `Docker Hub <https://hub.docker.com/r/overhangio/openedx/>`_. Depending on your bandwidth, this might take a long time. Minor image updates will be incremental, and thus much faster.
This will launch the various docker containers required for your Open edX platform. The LMS and the Studio will then be reachable at the domain name you specified during the configuration step.
This command should be run just once. It will initialise all applications in a running platform. In particular, this will create the required databases tables and apply database migrations for all applications.
If initialisation is stopped with a ``Killed`` message, this certainly means the docker containers don't have enough RAM. See the :ref:`troubleshooting` section.
By default, logs from all containers are forwarded to the `default Docker logging driver <https://docs.docker.com/config/containers/logging/configure/>`_: this means that logs are printed to the standard output when running in non-daemon mode (``tutor local start``). In daemon mode, logs can still be accessed with ``tutor local logs`` commands (see :ref:`logging <logging>`).
In addition, all LMS and CMS logs are persisted to disk by default in the following files::
Finally, tracking logs that store `user events <https://edx.readthedocs.io/projects/devdata/en/latest/internal_data_formats/tracking_logs/index.html>`_ are persisted in the following files::
Notice the **State** column in the output. It will tell you whether each container is starting, restarting, running (``Up``), cleanly stopped (``Exit 0``), or stopped on error (``Exit N``, where N ≠ 0).
After a fresh installation, your platform will not have a single course. To import the `Open edX demo course <https://github.com/openedx/edx-demo-course>`_, run::
Out of the box, only the default "open-edx" theme is available. We also developed `Indigo, a beautiful, customizable theme <https://github.com/overhangio/indigo>`__ which is easy to install with Tutor.
After modifying Open edX settings, for instance when running ``tutor config save``, you will want to restart the web processes of the LMS and the CMS to take into account those new settings. It is possible to simply restart the whole platform (with ``tutor local reboot``) or just a single service (``tutor local restart lms``) but that is overkill. A quicker alternative is to send the HUP signal to the uwsgi processes running inside the containers. The "openedx" Docker image comes with a convenient script that does just that. To run it, execute::
You might want to customise the docker-compose services listed in ``$(tutor config printroot)/env/local/docker-compose.yml``. To do so, you should create a ``docker-compose.override.yml`` file in that same folder::
vim $(tutor config printroot)/env/local/docker-compose.override.yml
The values in this file will override the values from ``docker-compose.yml`` and ``docker-compose.prod.yml``, as explained in the `docker-compose documentation <https://docs.docker.com/compose/extends/#adding-and-overriding-configuration>`__.