Build
Use pip install -r requirements.txt. Commit the lockfile and pin the runtime version so a rebuild installs the same dependency graph.
Review deployment docs →FastAPI · Deployment guide · Hosting
Deploy FastAPI with the runtime made explicit.
JSON APIs, model-serving endpoints, internal services, webhooks, and asynchronous Python applications. Darwa AI connects the repository, runs pip install -r requirements.txt, deploys the result on python asgi server, and keeps domains, HTTPS, releases, logs, and billing in the same workspace.
- Python ASGI server
- Deployment model
- pip install -r requirements.txt
- Build command
- Python application
- Expected output
- Web Services
- Recommended Darwa product
What a production FastAPI deployment needs.
These are operational requirements, not a generic framework feature list. Confirm them in the repository before the first release.
Start
Production start: uvicorn main:app --host 0.0.0.0 --port $PORT. The command must stay in the foreground and report a failed boot with a non-zero exit code.
Explore Web Services →Artifact
Expected deployable output: Python application. Generated artifacts should come from the build rather than being edited after release.
Configure the build →Configuration
Store secrets and environment-specific values in the service environment. Do not commit production credentials or bake them into frontend bundles.
Manage configuration →Health and logs
Expose a lightweight health endpoint, keep startup logs actionable, and verify the public endpoint after every release.
See runtime operations →Known boundary
Long model downloads increase cold starts. Pin dependencies, move large artifacts to object storage, and use a worker for work that should outlive a request.
Check a workload with Darwa →From FastAPI repository to a repeatable release.
A successful first deploy is not enough. The release must be reproducible, observable, reversible, and safe to scale.
Connect source01
Select the repository and production branch. Keep preview work isolated from the production service.
Detect and confirm02
Confirm python asgi server, the build command, output, and production start command instead of relying on a lucky default.
Add environment03
Set secrets and public configuration with the correct build-time or runtime scope.
Deploy and verify04
Watch the build, startup, and health checks; then exercise a real application path rather than only the homepage.
Attach the domain05
Point the domain after the generated endpoint is healthy. Managed HTTPS should complete before traffic is moved.
Plan rollback06
Keep the previous successful release available and make database changes backward-compatible before scaling replicas.
Products, plans, and regional guidance.
Web ServicesThe recommended Darwa AI product for this FastAPI deployment.→PricingCompare current plan resources and renewal pricing.→Web ServicesAlways-on APIs and server applications.→Frontend CloudStatic build output on global delivery.→Managed databasesPostgreSQL, MySQL, Redis, and compatible data services.→All frameworksCompare the deployment model for another framework.→
Answers before you deploy.
Can Darwa AI host FastAPI?+
Yes. JSON APIs, model-serving endpoints, internal services, webhooks, and asynchronous Python applications. The recommended starting product is Web Services, subject to the runtime boundary described on this page.
What build command should I use for FastAPI?+
Start with pip install -r requirements.txt. Keep the dependency lockfile committed and test the same command in a clean environment before deployment.
What starts FastAPI in production?+
Use uvicorn main:app --host 0.0.0.0 --port $PORT. A server deployment must listen on the assigned port, stay in the foreground, and exit when startup fails.
Can I connect a custom domain?+
Yes. Deploy to the generated endpoint first, verify health, then connect the domain and wait for managed HTTPS before moving traffic.
Where should secrets be stored?+
Use the service environment and keep production secrets out of Git, build logs, browser bundles, and image layers.
How do I deploy without downtime?+
Use health checks, backward-compatible data changes, a verified new release, and a retained previous release that can be restored quickly.