FastAPI Backend Development Company

Yes, for the I/O-bound traffic that makes up most API workloads. Uvicorn runs FastAPI as an ASGI app, so a single worker keeps many requests open while each one waits on PostgreSQL or a partner API, and capacity grows by adding Uvicorn workers and containers behind a load balancer. On top of that we put Redis in front of hot reads, pool database connections, run k6 against your forecast traffic before go-live and track latency in production afterwards. Anything CPU-heavy is handed to a Celery queue or a separate service so request handling stays quick.

If your idea matches a catalogue product, the price is fixed: the ready-made platform, with its web app, admin panel and mobile apps, costs from $2,199 and is live in 6 working days. Custom FastAPI backend work starts from $3,699, depending on the work. A custom FastAPI MVP usually costs $8,000-$25,000 over 2-8 weeks; where it falls depends on how many endpoints and integrations you need, WebSockets or streaming, serving ML models, the databases involved, third-party services and the DevOps setup. After launch, a FastAPI retainer starts from $2,299/month for new features and upkeep. Every quote is written before payment, with no surprise invoices after kickoff.

Yes, all of it. You receive the whole FastAPI repository with its full git history, the Pydantic models and settings, the generated OpenAPI/Swagger docs, environment files and every deployment credential. There is no lock-in of any kind: your own engineers, or another development agency, can pick the codebase up and keep building the day after handoff.

If a catalogue product matches your idea, the ready-made platform (its web app, admin panel and mobile apps, rebranded as yours) is live in 6 working days. Designing and building a custom FastAPI backend takes 2-8 weeks, depending on the endpoints and integrations in scope. All timelines are stated in writing before any payment is requested.

It depends on your team and your workload. Choose FastAPI when the backend works with Python data or ML libraries, when you want request validation and OpenAPI docs generated from type hints, or when your team already writes Python. Node.js with Express is the better pick for a team that already lives in TypeScript and wants request types shared with its React or Next.js code, or for a product that leans on npm packages Python has no match for. We deliver in both stacks and put our recommendation in the written proposal.

Each delivery ships a separate admin web app that opens in any browser. From it your team manages API keys, reads per-endpoint analytics, administers users, configures webhooks and changes environment settings without touching the FastAPI code.

Yes, on every delivery engagement. Miracuves builds the Docker images, deploys to AWS ECS, sets the environment configuration and SSL certificates, and configures CloudWatch monitoring. Production deployment is usually finished in the same sprint as the API development work itself.

Each Miracuves delivery carries 60 days of post-launch technical support, and any defect inside the agreed scope is fixed without charge during that time. New features outside the scope get their own written quote, and a monthly maintenance retainer is available at the published rate if you want continuing help.

Before you share any project detail, Miracuves signs a mutual NDA covering the technical design, business logic and intellectual property. The IP assignment that hands you 100% ownership of the code is signed when the project starts, so ownership never depends on the final invoice.

There is no single best one; it depends on your traffic and dependencies. Container platforms that scale to zero, such as Google Cloud Run or Azure Container Apps, run the same Docker image you would deploy anywhere and handle WebSockets and larger ML dependencies more easily. AWS Lambda works through an ASGI adapter such as Mangum and suits spiky, short requests, with cold starts and package size limits to plan around. We choose between them from your request volume and burst pattern, and name the platform in the written quote.

API design and an OpenAPI contract agreed before code, the FastAPI service itself with Pydantic validation, SQLAlchemy and Alembic, authentication, integrations and background jobs, pytest and k6 load tests, CI/CD, Docker deployment to AWS or your own servers, monitoring with Sentry and CloudWatch, and 60 days of post-launch support. You receive the full repository, documentation and every credential at handoff.

Yes. FastAPI is widely used in production for public APIs, internal services and ML model serving. What makes a FastAPI service production-ready is the work around it: running Uvicorn workers behind a load balancer, keeping blocking code off the event loop, database migrations, tests in CI, secrets kept out of source, and monitoring. Miracuves sets all of these up on every project before launch.