Internally, we are constantly looking for the best way to deploy some Django projects to AWS. Some people prefer to use automated process (yeah! automated deploys).
This is just a step. There are a lot way to do it. Here is the stack. Let’s go!
AWS:
I personally prefer Google Cloud Platform. Probably I will write about that on this blog soon.
I’m using a EC2 instance, with Ubuntu.
I’m clonning the Git repo under /home/ubuntu by using the ubuntu user.
Virtualenvwrapper:
Virtual environment is an important requirement. I have used both
virtualenv and
virtualenvwrapper; in this case I used virtualenvwrapper, and all Python and pip packages are installed in a separated folder.
Gunicorn:
projects.
I have started my Django project on server trough Gunicorn on a local hostname and port (http://localhost:8000).
Supervisor:
I use
Supervisor to convert my project in a daemon. That’s it. So, if I restart the server, this daemon will be started automatically.
This is my /etc/supervisor/conf.d/myproject.conf
[program:myproject]
command=/home/ubuntu/myproject/start_gunicorn.sh
autostart=true
stdout_logfile=/home/ubuntu/logs/gunicorn.log
stdout_logfile_backups=20
stdout_logfile_maxbyes=20MB
Start_gunicorn.sh is just a bash file to launch Django trough Gunicorn. Something like:
gunicorn myproject.wsgi:application -w 3 --bind=127.0.0.1:8000
Nginx:
Nginx is very cool HTTP/Proxy server. I’m using Nginx as a proxy, to serve the local project to the web.
I’ts like make enabled localhost:8000 from mydomain.com.
Nginx is also serving all the Django static files, and make it visible from /static.
server {
listen 80;
server_name mydomain.com;
client_max_body_size 5M;
charset utf8;
keepalive_timeout 6;
access_log /home/ubuntu/logs/nginx.access.log;
error_log /home/ubuntu/logs/nginx.error.log;
location / {
proxy_read_timeout 800;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $host;
proxy_pass http://127.0.0.1:8000/;
}
location /static {
alias /home/ubuntu/myproject/static;
autoindex on;
}
}
If you need help with your deployment or managing your stack, please contact us.
Have any questions? Have a better way? Please post it below.
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