Full Django/Postgres stack with Celery tasks and Redis as cache/queue.

Deploy a "complete" Django setup - DB, caching and background tasks with Celery are all set up and ready to go.

Check out the full readme and brief on GitHub: https://github.com/Antvirf/railway_django_stack

1. In the deployment screen, you will need to configure a DJANGO_SECRET_KEY. You can use the below snippet to do that or otherwise generate your own.

   Snippet to create secret

   This assumes your default python installation has Django installed.

   python -c 'from django.core.management.utils import get_random_secret_key; print(get_random_secret_key())'

2. Once the containers have been deployed, please take the following steps to delete public proxy addresses, as you will not need to access the private services directly:

   • Go to the Postgres service > Settings > Networking, delete the proxy
   • Go to the Redis service > Settings > Networking, delete the proxy

This template deploys:

• 1 service running Django
• 1 service running Celery (same as container #1 but with different startup command)
• 1 service running Redis
• 1 service running Postgres

You can test the setup locally with docker compose:

git clone https://github.com/Antvirf/railway_django_stack cd railway_django_stack docker-compose up

Warning Please check the instructions above on deploying the template. By default, Railway creates publicly available proxies for your Postgres and Redis services - make sure to delete them. Should you ever need direct access, creating the proxies is just a few clicks.

flowchart LR subgraph rwp["Your Railway Project"] subgraph public["Publicly exposed services"] django["App container\n(Django server)"] end subgraph private["Private services"] celery["App container\n(Celery worker)"] psql["PostgreSQL"] redis["Redis"] end end users["Users"] --> django django --> celery django --> psql celery --> psql celery --> redis django --> redis 

This is a barebones Django-project with the following additions/updates:

• Configures a PostgreSQL database
• Configures a Redis cache
• Configures Celery, and installs the following add-on apps:
  • django-celery-beat for periodic task management
  • django-celery-results for viewing results of Celery tasks in Django Admin
• Uses python-decouple to manage settings via environment varialbes
• Uses whitenoise to make serving static assets easy
• Installs and runs with gunicorn