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
-
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())'
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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 managementdjango-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