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52 lines
2.2 KiB
ReStructuredText
52 lines
2.2 KiB
ReStructuredText
.. _install:
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Installation
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============
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Requirements
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------------
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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:
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- `Docker <https://docs.docker.com/engine/installation/>`_
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- `Docker compose <https://docs.docker.com/compose/install/>`_
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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. See the :ref:`troubleshooting <webserver>` section for a workaround.
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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.
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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.
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At least 9Gb of disk space is required.
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Also, the host running the containers should be a 64 bit platform. (images are not built for i386 systems)
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Direct binary downloads
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-----------------------
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The latest binaries can be downloaded from https://github.com/regisb/tutor/releases. From the command line::
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sudo curl -L "https://github.com/regisb/tutor/releases/download/latest/tutor-$(uname -s)_$(uname -m)" -o /usr/local/bin/tutor
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sudo chmod +x /usr/local/bin/tutor
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Installing from pip
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-------------------
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If, for some reason, you'd rather install from pypi instead of downloading a binary, run::
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pip install tutor-openedx
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Installing from source
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----------------------
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::
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git clone https://github.com/regisb/tutor
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cd tutor
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python setup.py develop
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Cloud deployment
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----------------
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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.
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