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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
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56 lines
2.6 KiB
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.. _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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⚠️ 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.
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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. Check the section on :ref:`how to setup a web proxy <web_proxy>` 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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.. include:: cli_download.rst
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This is the recommended installation method for most people.
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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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Installing from source
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----------------------
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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::
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sudo apt install python3 libyaml-dev
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Installing from pypi::
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pip install tutor-openedx
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Installing from a local clone of the repository::
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git clone https://github.com/regisb/tutor
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cd tutor
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pip install -e .
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