This example describes how to create and use a container image for Reflex with your own code.

The requirements.txt includes the reflex package which is needed to install Reflex framework. If you use additional packages in your project you have to add this in the requirements.txt first. Copy the Dockerfile, .dockerignore and the requirements.txt file in your project folder.

The main Dockerfile is intended to build a very simple, single container deployment that runs the Reflex frontend and backend together, exposing ports 3000 and 8000.

To build your container image run the following command:

docker build -t reflex-app:latest .

Finally, you can start your Reflex container service as follows:

docker run -it --rm -p 3000:3000 -p 8000:8000 --name app reflex-app:latest

It may take a few seconds for the service to become available.

Access your app at http://localhost:3000.

Note that this container has no persistence and will lose all data when stopped. You can use bind mounts or named volumes to persist the database and uploaded_files directories as needed.

An example production deployment uses automatic TLS with Caddy serving static files for the frontend and proxying requests to both the frontend and backend.

Copy the following files to your project directory:

• compose.yaml
• compose.prod.yaml
• compose.tools.yaml
• prod.Dockerfile
• Caddy.Dockerfile
• Caddyfile

The production app container, based on prod.Dockerfile, builds and exports the frontend statically (to be served by Caddy). The resulting image only runs the backend service.

The webserver service, based on Caddy.Dockerfile, copies the static frontend and Caddyfile into the container to configure the reverse proxy routes that will forward requests to the backend service. Caddy will automatically provision TLS for localhost or the domain specified in the environment variable DOMAIN.

This type of deployment should use less memory and be more performant since nodejs is not required at runtime.

If the app uses additional backend API routes, those should be added to the @backend_routes path matcher to ensure they are forwarded to the backend.

During build, set DOMAIN environment variable to the domain where the app will be hosted! (Do not include http or https, it will always use https).

If DOMAIN is not provided, the service will default to localhost.

DOMAIN=example.com docker compose build

This will build both the app service from the prod.Dockerfile and the webserver service via Caddy.Dockerfile.

DOMAIN=example.com docker compose up

The app should be available at the specified domain via HTTPS. Certificate provisioning will occur automatically and may take a few minutes.

Named docker volumes are used to persist the app database (db-data), uploaded_files (upload-data), and caddy TLS keys and certificates (caddy-data).

For a more robust deployment, consider bringing the service up with compose.prod.yaml which includes postgres database and redis cache, allowing the backend to run with multiple workers and service more requests.

DOMAIN=example.com docker compose -f compose.yaml -f compose.prod.yaml up -d

Postgres uses its own named docker volume for data persistence.

When needed, the services in compose.tools.yaml can be brought up, providing graphical database administration (Adminer on http://localhost:8080) and a redis cache browser (redis-commander on http://localhost:8081). It is not recommended to deploy these services if they are not in active use.

DOMAIN=example.com docker compose -f compose.yaml -f compose.prod.yaml -f compose.tools.yaml up -d

Most container hosting services automatically terminate TLS and expect the app to be listening on a single port (typically $PORT).

To host a Reflex app on one of these platforms, like Google Cloud Run, Render, Railway, etc, use app.Dockerfile to build a single image containing a reverse proxy that will serve that frontend as static files and proxy requests to the backend for specific endpoints.

If the chosen platform does not support buildx and thus heredoc, you can copy the Caddyfile configuration into a separate Caddyfile in the root of the project.