Keep the Django build you already use
Install Python dependencies and run the project-specific preparation your release requires. Keep collectstatic and migration decisions explicit instead of hiding them in a dashboard toggle.
Ship a Django project with a production WSGI process, runtime settings, database credentials, health checks, static asset decisions, and release evidence in one place.
Candidate release
Django
SOURCE
Git
REGION
de
ROUTE
HTTPS
01Source received
02Build completed
03Runtime started
04Health check passed
Promoted route
production.adios.run
A production path for
The production path
The application or service is only one part of production. Build evidence, runtime state, health, secrets, logs, routes, and the promoted version should remain inspectable together.
Install Python dependencies and run the project-specific preparation your release requires. Keep collectstatic and migration decisions explicit instead of hiding them in a dashboard toggle.
Start the WSGI application with Gunicorn, bind it to the declared port, and use a health route that proves the web process is ready without mutating data.
Build output, runtime logs, health state, secrets, domains, and the promoted release stay attached to the project instead of being split across unrelated tools.
From source to release
Use the source and production behavior the project already has. The manifest records what the platform should build or provision and how the result becomes ready.
Bring the existing repository, or inspect and deploy one of the exact starter variants linked below.
$adios loginKeep commands, runtime or service version, health behavior, and secret references in adios.yaml.
$git diff -- adios.yamlFollow build and runtime evidence, verify the candidate, and open the promoted route or service connection.
$adios upname: django-app
build_cmd: pip install -r requirements.txt && python manage.py collectstatic --noinput
start_cmd: gunicorn project.wsgi:application --bind 0.0.0.0:8000
runtime:
name: python@3.13
port: 8000
health_path: /healthzDeployable starting points
Choose a pip or Pipenv Django starter with Gunicorn and an Adios manifest already connected.
API starters
FastAPI, Django, Flask, Litestar, and Sanic starters with production start commands.
git clone https://github.com/adiosdotdev/template-python-django.git
cd template-python-django
adios upAPI starters
FastAPI, Django, Flask, Litestar, and Sanic starters with production start commands.
git clone https://github.com/adiosdotdev/template-python-django-pipenv.git
cd template-python-django-pipenv
adios upBefore production
The safest first release starts with a reproducible build or service configuration and a preview that exercises the dependencies production will actually use.
Questions, answered
Review the runtime or service boundary, template path, failure behavior, and production checks before creating the first release.
Yes. Run the Adios CLI from the project root, keep the repository and dependency files you already use, and add an adios.yaml file that describes the production build, start command, port, and health path.
Not for a standard supported runtime. Use the project's normal production commands in adios.yaml. If the build needs unusual operating-system packages or native libraries, verify those dependencies in a preview before promotion.
Treat production schema changes as an explicit release step. Test them against representative data and choose an approval or workflow strategy instead of coupling every build to an automatic migration.
Choose a deliberate production strategy such as collected assets served by the application, object storage, or another static delivery path. Verify cache headers and URLs in the preview domain.
The candidate release keeps its build and runtime output for inspection. It must report healthy before it becomes the promoted version serving the application route.
Yes. This page links to the closest official Adios Django starters. Inspect the exact source variant, deploy it in the console, or clone it locally and run adios up.
Related deployment paths
Run a Python web app or worker with the dependency file, process command, health route, and secret-backed configuration kept beside the source.
Choose a PostgreSQL version, keep database credentials out of Git, attach persistent storage, connect the application, and verify data after a restart.
Start Redis 7 for cache, session, pub/sub, or fast state workloads, then verify connectivity, persistence expectations, eviction, and dependency failure behavior.
Deploy scheduled jobs, webhook processors, approval gates, maintenance tasks, and operational automation from a versioned workflow manifest.
The first release
Start from the repository or a template, review the deployment contract, and inspect what becomes the promoted production version.