Databases
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PO
 

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    <p>Not decided yet on the definitive solution, but that's what's going on right now partly based on @nutjob comments (no, I haven't switched to buildout for the time being but I will take some time for it later on!)</p> <p>I have a big, powerful server with quite a lot of django applications. I mostly use gunicorn + supervisord.</p> <p>These requirements dictate the following, but slightly different settings will probably make it different.</p> <ol> <li>I have logically organized these applications in clusters, based on code/functions similarities; each cluster will likely have the same version of common python libs (pylibmc, pillow, etc.)</li> <li>I create a few users, one for each cluster</li> <li>For each user I install a virtualenv (with the same name as the user, for my own choice) by downloading virtualenv.py and running <code>python virtualenv.py VIRTUALENVNAME</code>; I don't install virtualenv wrapper</li> <li>I edit that user .bashrc so that the virtualenv is immediately loaded</li> <li>I install the common packages with pip, but more specific packages are added directly through sys.path This allows me an even faster deployment, because of the folder/versioning project structure that carries all most of the required libraries there. I find this more clear, faster to deploy, and easier to edit. Mileage for your individual cases might vary.</li> </ol> <p>This means each user has is own, single virtualenv.</p> <p>Should I start all over I would probably move to a buildout or similar solution (I'm not a big fan of what happens when you mix supervisor and virtualenv), but I'm right now pretty happy with this one...</p>
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    1. POInstall pip and virtualenv, a chicken and the egg dilemma?
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    1. USStefano
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    1. COI'll wait another few days hoping to get some feedback on this answer before picking the accepted one!
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