Python

Deploy a Django app on Enzonic

Deploy recognises a Django project from manage.py and the project package's wsgi.py (application = get_wsgi_application()), installs your requirements and serves the WSGI application as a function on Python 3.12.

Deploy Django Docs

At a glance

What Enzonic Deploy does with a Django project when you connect it. You can override any of it in the project settings.

Language: Python
Detected from: django in requirements.txt, pyproject.toml or Pipfile; manage.py and <project>/wsgi.py containing get_wsgi_application
Build command: pip install -r requirements.txt
Output: Functions, plus public/ for collected static files
Runs as: Functions

How it runs

Functions
Always.

Deploy Django step by step

1Read DATABASE_URL and SECRET_KEY from the environment in settings.py.
2Set ALLOWED_HOSTS to your Enzonic and custom domains.
3Collect static files into public/ (or serve them with WhiteNoise).
4Connect the repository and deploy.

Connect a database to Django

Create a database on Enzonic Databases (or from the project's settings) and its connection string is added to the project's environment variables. This example uses PostgreSQL.

settings.py

import os
import dj_database_url  # pip install dj-database-url

SECRET_KEY = os.environ['SECRET_KEY']
ALLOWED_HOSTS = ['.enzonic.dev', 'example.com']

DATABASES = {
    'default': dj_database_url.parse(os.environ['DATABASE_URL'], conn_max_age=60, ssl_require=True)
}

Postgres projects get two variables: DATABASE_URL through the connection pooler for the app, and DATABASE_URL_UNPOOLED for migrations.

PostgreSQL on Enzonic Databases Every database engine

Things to know

Run migrations from your machine or CI against the database URL; functions do not run manage.py migrate on deploy.
DEBUG must be off in production; set it from an environment variable.

Plan limits that matter here

From the live plan data. Every plan includes previews for each branch, instant rollback, environment variables and logs.

Plan limits that matter for Django
Limit	Free	Pro
Build minutes	3,000/mo, 1 concurrent	10,000/mo, 3 concurrent
Function memory / timeout	1 GB / 300 s	4 GB / 1800 s
Function invocations	2 M/mo	20 M/mo
Bandwidth	150 GB/mo	2 TB/mo

Compare every plan

Related guides

Deploy a Flask appFlask (and Quart) apps served as WSGI/ASGI functions.
Deploy a FastAPI appFastAPI (and Starlette) apps as ASGI functions on Python 3.12.
Deploy a Python functions appPlain Python handlers in api/*.py, no framework needed.

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