Butler is for automating Python app deployments to AWS EC2. Currently it installs everything on one machine. As the build process lasts about a minute it makes scaling up and down very simple. It tries to be as easy as Heroku but you are in full control.
- Download this package to your disk.
- cd to the download directory
- Change the env.hosts and env.key_filename to reflect your own
- fab build
This builds everything and you should soon have a working deployment.
- NGINX
- uWSGI
- MySQL
- Memcached
- Apache installation and configuration
- Gunicorn installatiin and configuration
- Postgres installation and configuration
- Varnish installation and configuration
- AWS instance spawning automation with Boto
- Currently there is a default stack but this will change in the near future when you'll have the option of choosing your stack.
- Make it possible to deploy the DB and the application of separate machines with optional replication.
- Possibility of running a load balancer in front of your web servers. (HAproxy)
- Background workers with celery or redis queues
- Build a optional UI for deployment and monitoring with stats from CloudWatch
For a django application you could use settings.py to access or load settings.
from fabric.contrib import django
django.settings_module('myproject.settings')
from django.conf import settings
See http://readthedocs.org/docs/fabric/en/latest/api/contrib/django.html
- Fabric - https://github.com/fabric/fabric by Christian Vest Hansen and Jeffrey E. Forcier
- git - http://git-scm.com/
- Boto - https://github.com/boto/boto by Mitch Garnaat