Does Django Work With Fly.io?

Fully CompatibleLast verified: 2026-02-20

Django works excellently on Fly.io with first-class support for containerized Python applications and seamless database/storage integration.

Quick Facts

Compatibility
full
Setup Difficulty
Easy
Official Integration
No — community maintained
Confidence
high
Minimum Versions
Django: 3.2

How Django Works With Fly.io

Django deploys to Fly.io as a containerized application, leveraging Docker to package your Python environment and dependencies. Fly.io provides a `flyctl` CLI tool that scaffolds a Dockerfile for Django apps, handling WSGI server configuration (typically Gunicorn) and static file serving automatically. The platform's multi-region deployment means your Django app runs close to users globally, reducing latency for both HTTP requests and database queries through Fly's managed Postgres offering.

Developer experience is streamlined: after running `flyctl launch`, you get a production-ready `fly.toml` configuration file and Dockerfile. Environment variables for `SECRET_KEY`, `DEBUG`, and `ALLOWED_HOSTS` are managed through Fly's dashboard or CLI. Django's collectstatic is automatically run during deployment, with files served from Fly's distributed cache. For databases, you can either use Fly Postgres (a managed PostgreSQL service) or connect to external databases via environment variables.

One architectural consideration: since Fly.io distributes your app across regions, ensure your sessions and caching use a shared backend (Redis via Upstash or similar) rather than in-memory storage. This prevents users from losing session state during requests to different regions.

Best Use Cases

SaaS platforms serving global users with low-latency requirements
Content management systems needing predictable scaling without managing infrastructure
Real-time collaboration apps using Django Channels over WebSockets distributed across regions
Rapid MVP development where infrastructure shouldn't be a bottleneck

Django on Fly.io - Settings & Deployment

bash
pip install django gunicorn python-dotenv
python
# settings.py (additions for Fly.io)
import os
from pathlib import Path

BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = os.getenv('SECRET_KEY', 'insecure-dev-key-only')
DEBUG = os.getenv('DEBUG', 'False') == 'True'
ALLOWED_HOSTS = os.getenv('ALLOWED_HOSTS', 'localhost,127.0.0.1').split(',')

# Database
DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql',
        'NAME': os.getenv('DATABASE_NAME', 'postgres'),
        'USER': os.getenv('DATABASE_USER', 'postgres'),
        'PASSWORD': os.getenv('DATABASE_PASSWORD', ''),
        'HOST': os.getenv('DATABASE_HOST', 'localhost'),
        'PORT': os.getenv('DATABASE_PORT', '5432'),
    }
}

STATIC_ROOT = '/app/staticfiles'
STATIC_URL = '/static/'

# fly.toml
# [env]
# DEBUG = "False"
# DATABASE_HOST = "<your-postgres-private-ip>"

# Dockerfile entrypoint
# CMD ["gunicorn", "config.wsgi:application", "--bind", "0.0.0.0:8080"]

Known Issues & Gotchas

critical

DEBUG=True in production will leak sensitive information and fail to start properly

Fix: Set DEBUG=False in fly.toml environment variables and use SECRET_KEY from a secure environment variable, not hardcoded

warning

Static files may not be served if collectstatic fails during deployment

Fix: Ensure STATIC_ROOT is set to /app/staticfiles in settings.py and add collectstatic to the Dockerfile RUN command before starting Gunicorn

warning

Database connections timeout when using external databases due to Fly's network architecture

Fix: Use Fly Postgres for simplicity, or configure connection pooling (PgBouncer) and appropriate timeout settings in your database URL

info

Local development with fly.io differs from production environment variables and secrets

Fix: Use python-dotenv to load .env files locally but never commit them; rely on flyctl secrets for production

Alternatives

  • Heroku with Django - simpler but less customizable, more expensive at scale
  • AWS App Runner + RDS - more control but requires more configuration and AWS knowledge
  • Railway with Django - similar ease to Fly.io but smaller ecosystem and less multi-region support

Resources

Related Compatibility Guides

Explore more compatibility guides