mirror of
https://github.com/ChristianLight/tutor.git
synced 2024-11-15 17:47:13 +00:00
847678bb07
The "latest" tag is a pain to maintain: it's a tag that we delete and re-create at every release. Whenever we delete it, the binaries become unavailable on Github until they are re-generated. Thus, from now on, we conform to good practices (as examplified by the github.com/docker/compose) project and distribute only pinned release. The "nightly" tag remains, for now, as it allows us to distribute beta features. It may disappear in the future.
56 lines
2.6 KiB
ReStructuredText
56 lines
2.6 KiB
ReStructuredText
.. _install:
|
|
|
|
Installation
|
|
============
|
|
|
|
Requirements
|
|
------------
|
|
|
|
The only prerequisite for running this is a working docker install. Both docker and docker-compose are required. Follow the instructions from the official documentation:
|
|
|
|
- `Docker <https://docs.docker.com/engine/installation/>`_
|
|
- `Docker compose <https://docs.docker.com/compose/install/>`_
|
|
|
|
⚠️ Warning: do not attempt to simply run ``apt-get install docker docker-compose`` on older Ubuntu platforms, such as 16.04 (Xenial), as you will get older versions of these utilities.
|
|
|
|
Note that the production web server container will bind to port 80 and 443, so if there a web server is running on the same server (Apache or Nginx, for instance), it should be stopped prior to running tutor. Check the section on :ref:`how to setup a web proxy <web_proxy>` for a workaround.
|
|
|
|
With Tutor, Open edX can run on any platform that supports Docker, including Mac OS and Windows. Tutor was tested under various versions of Ubuntu and Mac OS.
|
|
|
|
At a minimum, the server running the containers should have 4 Gb of RAM. With less memory, the deployment procedure might crash during migrations (see the :ref:`troubleshooting <migrations_killed>` section) and the platform will be unbearably slow.
|
|
|
|
At least 9Gb of disk space is required.
|
|
|
|
Also, the host running the containers should be a 64 bit platform. (images are not built for i386 systems)
|
|
|
|
Direct binary downloads
|
|
-----------------------
|
|
|
|
The latest binaries can be downloaded from https://github.com/regisb/tutor/releases. From the command line:
|
|
|
|
.. include:: cli_download.rst
|
|
|
|
This is the recommended installation method for most people.
|
|
|
|
Cloud deployment
|
|
----------------
|
|
|
|
Tutor can be launched on Amazon Web Services very quickly with the `official Tutor AMI <https://aws.amazon.com/marketplace/pp/B07PV3TB8X>`_. Shell access is not even required, as all configuration will happen through the Tutor web user interface. This is a commercial offer priced at $50/month ($500/year) that was created to support the development of Tutor.
|
|
|
|
Installing from source
|
|
----------------------
|
|
|
|
If you would like to inspect the Tutor source code, you are most welcome to install Tutor from `Pypi <https://pypi.org/project/tutor-openedx/>`_ or directly from `the Github repository <https://github.com/regisb/tutor>`_. You will need python >= 3.5 and the libyaml development headers. On Ubuntu, these requirements can be installed by running::
|
|
|
|
sudo apt install python3 libyaml-dev
|
|
|
|
Installing from pypi::
|
|
|
|
pip install tutor-openedx
|
|
|
|
Installing from a local clone of the repository::
|
|
|
|
git clone https://github.com/regisb/tutor
|
|
cd tutor
|
|
pip install -e .
|