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 most commands, or define the ``TUTOR_ROOT=...`` environment variable.
A fully-functional platform can be configured and run in one command::
tutor local quickstart
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 ``quickstart`` command.
This is the only non-automatic step in the install 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`` once. After that, there will be a ``config.yml`` file at the root of the project folder: this file contains all the configuration values for your platform, such as randomly generated passwords, domain names, etc.
If you want to run a fully automated install, 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/regis/openedx/>`_. Depending on your bandwidth, this might take a long time. Minor image updates will be incremental, and thus much faster.
If migrations are stopped with a ``Killed`` message, this certainly means the docker containers don't have enough RAM. See the :ref:`troubleshooting` section.
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. You can also access them at http://localhost and http://studio.localhost.
After launching your platfom, the web UI will be available at `http://localhost:9000 <http://localhost:9000>`_. You will be asked to define a password for the admin user. Then, select a "Local environment" to work on; hit "Connect" and select the "local" group to view all running containers.
The default settings module loaded by ``edx-platform`` is ``tutor.production``. The folders ``tutor/deploy/env/openedx/settings/lms`` and ``tutor/deploy/env/openedx/settings/cms`` are mounted as ``edx-platform/lms/envs/tutor`` and ``edx-platform/cms/envs/tutor`` inside the docker containers. Thus, to use your own settings, you must do two things:
1. Copy your settings files for the lms and the cms to ``tutor/deploy/env/openedx/settings/lms/mysettings.py`` and ``tutor/deploy/env/openedx/settings/cms/mysettings.py``.
2. Load your settings by adding ``EDX_PLATFORM_SETTINGS=tutor.mysettings`` to ``tutor/deploy/local/.env``.
Of course, your settings should be compatible with the docker install. You can get some inspiration from the ``production.py`` settings modules generated by Tutor.
Versions 1 and 2 of Tutor were organized differently: they relied on many different ``Makefile`` and ``make`` commands instead of a single ``tutor`` executable. To migrate from an earlier version, you should first stop your platform::
make stop
Then, create the Tutor project root and move your data::
`Download <https://github.com/regisb/tutor/releases>`_ the latest stable release of Tutor, uncompress the file and place the ``tutor`` executable in your path.
