So we've got a problem. Our Django app only runs when we're logged into the server via SSH and running Gunicorn. That's not going to work long term. We need to get Gunicorn running even when we're not around. In addition, if our Gunicorn server crashes because of some bug, we want it to automatically restart.
In this section we're going to cover:
We're going to solve our process supervison problem with Supervisor. It's a program that we can use to run Gunicorn in the background. I chose this tool because a lot of other Django devs use it, plus it's pretty easy to install, configure and run.
We can install it into our virtualenv with pip, which is handy:
pip install supervisor
Supervisor has several parts that we should know about:
We'll also be writing some config files to help automate how Supervisor and Gunicorn run
Finally, we need to start configuring basic logging. We didn't really need logging before because when we ran "runserver" or "gunicorn", we could just read the console output on our terminal. We can't do that anymore because we cannot see the terminal. So we need to ask gunicorn and supervisord to write their logs to a file somewhere, so we can read them later if we need to. Once we're done, our Django project will look like this when we deploy it:
/app ├── env Python 3 virtualenv ├── requirements.txt Python requirements ├── db.sqlite3 Production SQLite database ├── scripts Bash scripts | └── run-gunicorn.sh Script to run Gunicorn ├── config Config files | ├── supervisord.conf Supervisor config | └── gunicorn.conf.py Gunicorn config ├── logs Log files | ├── supervisord.log Supervisor logs | └── gunicorn.access.log Gunicorn access logs | └── gunicorn.app.log Gunicorn application logs └── tute Django project code ├── tute Django app code ├── counter Django app code ├── staticfiles Collected static files └── manage.py Django management script
It's coming to be a lot of stuff isn't it? When I said this would be a "simple" deployment guide, I meant that in a relative sense. ¯\_(ツ)_/¯
Let's get started by setting up Supervisor to run our Django app using Gunicorn. Unfortunately we can't test this new setup completely on our Windows machine, so we're going to have to upload our files to the server to try this out.
You can find the scripts and config referenced in the video here.
Next we want to tweak how Gunicorn runs a little bit. In particular, we want to set the number of "workers". The Gunicorn process runs as a sort of "master", which then co-ordinates a bunch of child "worker" processes. The Gunicorn docs suggest using 2-4 workers per CPU core (we have 1 on our DigitalOcean VM), but the default is 1.
If we only have 1 worker, and two people send our site a HTTP request, then one of them will need to wait for the other to finish. If we set more workers, it means we can handle more HTTP requests at the same time. Too many workers are kind of pointless because they'll just end up fighting for access to the CPU. So let's pick 3 workers, because we have 1 CPU core, nothing else happening on this machine, and 3 is half way between the recommended 2-4 (which is a very arbitrary way of deciding).
We could apply this config change by just adding it as a command line parameter when we run Gunicorn:
gunicorn tute.wsgi:application --workers 3
But this will become unweildy when we configure more and more settings. It's kind of just an aesthetic thing, but I'd rather write this config to a file than as command line parameters. So instead, we can write a configuration file called "gunicorn.conf.py" and put all our config in there:
# gunicorn.conf.py bind = "0.0.0.0:80" workers = 3 # Add more config here
and then when we run gunicorn we can just do this:
gunicorn tute.wsgi:application -c config/gunicorn.conf.py
Let's set up our Gunicorn config.
Now that our Gunicorn config has been created, we can set up logging.
As I mentioned earlier, we need logging because Gunicorn is now running in the background and we can't see its terminal output. This is important when something goes wrong on in our code and we need to figure out what happened. In this section we'll set up logging so we can see:
This isn't the perfect logging setup, I go into more detail on how we can improve Django logging in production in this blog post, but it's good enough for now.
When we're done, our logs on the server will look like this:
/app ... └── logs Log files ├── supervisord.log Supervisor logs └── gunicorn.access.log Gunicorn access logs └── gunicorn.app.log Gunicorn application logs
Ok we've got logging all set up, looking good! Later on, you might want to also add error monitoring to your app, which alerts you when errors happen.
Before we move on to automating our deployments, there's an elephant in the room that I'd like to address. This whole time we've been running Gunicorn as the Linux root user. In Windows terminology we'd call this an "admin" account.
This setup is a potential security risk. Here's the problem: we've given Gunicorn permission to do anything to our VM. It can delete all the files, install any programs they want, terminate other processes, whatever. This will be a problem if a hacker figures out how to execute arbitrary code on our Django app, or manipulate our Django app in some other way (like writing to any part of the filesystem). Any vulnerability that we accidentally write in our Django app can do maximum damage to our server, because we've allowed Gunicorn to do everything. The two biggest risks that I see are:
This is why people say "don't run Gunicorn as root", because if you fuck up your code somewhere, or if Gunicorn itself is vulnerable somehow, then control of your server and data could be compromised.
So why does this guide have you run Gunicorn as root?
As you learn more about deploying web apps and managing infrastructure, you'll need to learn to make your own decisions about the security risks you're willing to take vs. the extra work you'll need to do. For now I think running as root is OK. In the future, especially if you think your app is important, you may want to run Gunicorn as a non-root user and research other security measures.
Now that we've got our Django app up-and-running, all on its own, we can look forward to automating the deployment, so we can deploy our code again and again, quickly and easily.
If you have any feedback or questions email me at [email protected]