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To deploy a FastAPI app on Render, create a Render web service connected to your Git repository, install the project’s declared dependencies with its package manager, and set a start command that launches the correct ASGI application. Then add runtime environment variables, configure an HTTP health-check path, and confirm the deployment in Render’s logs and service status.
1. Prepare your FastAPI project
Before creating the service, make sure the application and dependency declarations are committed to a Git repository that Render can access. Identify the Python module containing your FastAPI instance and the variable that holds it. For example, a project might expose app from main.py, while another might use a package path such as src.api. The correct path depends on your project structure.
If the repository contains multiple applications, identify the directory that should act as this service’s root. Render runs the build and start commands from that directory, so it must contain the files those commands reference. Render treats API servers, including FastAPI apps, as web services rather than static sites. See Render’s first-deploy guide.
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- In the Render dashboard, create a new web service and connect the Git repository that contains your FastAPI project.
- Select the branch Render should deploy.
- If the app is in a monorepo or a subdirectory, set the service’s root directory to that project directory.
- Select the Python runtime option available for the service and use a version compatible with your application and dependencies.
Render’s service setup documentation describes connecting a repository and configuring a web service. Runtime labels and dashboard details can change, so use the current dashboard controls for the service you create.
3. Choose the build command for your dependency manager
The build command installs the dependencies declared by your project. Choose the command that matches the package manager and dependency files committed at the service root; do not mix a command with files the project does not contain.
| Dependency approach | Example build command | What must be in the service root |
|---|---|---|
| pip with requirements.txt | pip install -r requirements.txt |
requirements.txt |
| Poetry | poetry install |
The project’s Poetry dependency files |
| uv | uv sync |
uv.lock is required at the service root |
These are documented examples, not interchangeable defaults. Confirm that the dependency files are committed and that the root directory points to the location where the chosen command can find them. Render documents these options in its deploy commands guide and provides additional checks in its Python deploy troubleshooting guide.
4. Set a start command that launches the ASGI app
Use a command that starts an ASGI server and points to your actual FastAPI object. Render’s FastAPI template uses Uvicorn as its server, but the module path and application variable are specific to your project. Adapt the template’s command to match your layout rather than copying it unchanged.
For instance, if your object is named app in a module named main.py, the import target is commonly written as main:app. If it is inside a package, use that package’s import path instead. Ensure the server binds to the port expected by the current Render configuration; a command that listens only on a fixed local-development port may not receive service traffic correctly.
Render’s template page describes its template as providing a Uvicorn start command and Python dependency detection. That is a reference implementation, not proof that every project uses the same module path or dependency setup.
5. Add environment variables and secrets
Configure runtime values in the Render service’s Environment settings or manage them through a Blueprint. Keep secret values, such as credentials and API keys, out of committed source files, .env files in the repository, and literal values in render.yaml. Use the supported environment-variable configuration mechanism instead. Render explains these options in its environment variables and secrets documentation.
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When changing a value in the dashboard, check the action selected for that change: Render can rebuild and deploy, deploy the existing build, or apply the change on the next deploy, depending on the chosen action. Do not assume every environment edit follows the same deployment path.
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Choose a path on your app that Render can request to determine whether the service is ready. Render considers an HTTP health check successful when it returns a 2xx or 3xx response within five seconds, according to its health checks documentation. The check should cover the readiness conditions that matter for your service; where database access is essential, Render suggests that a check can include a simple database connectivity query.
Health checks affect how Render routes traffic to new instances. A check that is slow, unavailable, or dependent on a component that is not ready can delay or prevent the new instance from receiving traffic. Choose a path whose response reflects useful readiness without doing unnecessary work on every check.
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- Trigger the deployment from the connected branch or use the dashboard’s deployment action.
- Watch the build logs for dependency installation errors, missing files, or an incorrect service root.
- Review startup logs for import errors, an incorrect ASGI target, or a server binding problem.
- Check that the configured health-check path returns a successful response under Render’s criteria and that the service becomes ready.
- Request the deployed API route or its documentation endpoint if your app exposes one, and confirm the response matches the application’s expected behavior.
A failed build or start means that deployment does not complete; Render keeps the most recent successful deployment running. If a Python deployment fails, Render’s troubleshooting guide recommends checking the selected runtime, Python compatibility, dependency file, and build command. If startup succeeds but readiness does not, investigate the health-check path and the app’s response within the configured timeout.
Dashboard setup, Blueprint, or template?
The dashboard workflow is a direct way to configure a service. A Blueprint can keep service configuration in code, which can make repeatable setup and environment-specific settings easier to manage. Render’s FastAPI template offers a preconfigured starting point, but its command and detection choices still need to fit your app’s layout and dependency manager. The available documentation does not establish one approach as best for every project.
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