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Production-ready FastAPI backend with JWT auth, PostgreSQL and Docker

Production-ready FastAPI backend with JWT auth, PostgreSQL and Docker

Software and apps · delivered in 3 days

This package delivers a fully documented REST API backend built on FastAPI, featuring JWT authentication, role-based access control, SQLAlchemy models running on PostgreSQL, Alembic-managed migrations, pytest test coverage, structured logging, and a Docker Compose configuration ready for both local and server environments.

If you already have a frontend, a data model, or a product concept but lack a backend, this service provides a dependable, production-grade foundation you can launch with confidence.

Built with FastAPI, the API includes JWT authentication and role-based access control from the outset. Data handling relies on SQLAlchemy models paired with PostgreSQL, with Alembic migrations allowing your schema to change safely across environments. Key workflows are backed by pytest tests, giving you assurance before real users interact with the system.

AI tools support parts of the build process, speeding up boilerplate code, test scaffolding and documentation drafts, while architectural choices, code review and quality checks remain fully hands-on.

The Docker Compose configuration lets the project run consistently across a laptop, a teammate's machine, or a Linux server, removing environment inconsistencies. Structured logging is built in so you can monitor what your application is actually doing once live. Cloud deployment can also be arranged on request.

This service suits both new builds and existing APIs in need of improvement, whether that means stronger authentication, proper migrations, better test coverage, or a tidier project layout.

What makes this backend production-ready

  • JWT authentication and role-based access control for secure, fine-grained permissions
  • SQLAlchemy models on PostgreSQL with schema changes managed through Alembic
  • A pytest suite covering core flows such as login, business operations and failure scenarios
  • Structured JSON logging for visibility in staging and production
  • A Docker Compose setup verified across Linux, macOS and Windows
  • Complete OpenAPI documentation generated automatically by FastAPI, ready for your frontend team

Delivery takes 3 days, and a single revision is included. Whether you are an independent founder, a small product team, or a growing startup that has outgrown a temporary API, this service gives you a codebase ready to build on.

What happens after you buy

Your order opens its own thread here the moment it is paid, and everything about that order - questions, changes and the final report - happens in it.

Questions people ask

What do I need to provide before you start?

It helps to share your data model or schema, even as a rough outline of entities, along with a summary of user roles and permissions, and any existing frontend or mobile API contracts. More context allows the API to be shaped more precisely around your product.

Will the code be well-structured and easy for my team to maintain?

Yes. The project follows a standard FastAPI layout, with routers, schemas, models, services and dependencies kept separate. The auto-generated OpenAPI documentation lets your frontend team browse and try endpoints without waiting on written notes.

Can you deploy the backend to my cloud provider?

Cloud deployment is possible on request. Let us know your target platform, such as AWS, GCP, DigitalOcean or Railway, when ordering so the requirements can be agreed in advance.

What does 'pytest coverage for critical paths' mean exactly?

This refers to automated tests built around the authentication journey, such as registration, login, token refresh and permission checks, plus the main business operations and typical failure cases. It is not full line-by-line coverage of every route, but it targets the areas most likely to cause issues once live.

Does the Docker Compose setup work on Windows?

Yes, the configuration has been checked on Linux, macOS and Windows. Windows and macOS users need Docker Desktop, and the project follows standard Compose v2 syntax.

What database is used and can it be swapped?

PostgreSQL is used by default. Because SQLAlchemy is not tied to one database engine, moving to another supported database later is feasible, although the current setup, defaults and Alembic migrations are all built specifically for PostgreSQL.

What happens if I need changes after delivery?

One round of revisions is included, covering adjustments within the delivered scope, such as altering an endpoint signature, adding a missing field, or fixing an issue in the delivered code. New features or larger scope changes would be treated as a separate order.

How is AI tooling used in this service?

AI tools help with generating boilerplate, scaffolding tests and drafting documentation. Every architectural decision, code structure choice, security measure and quality check is reviewed and finalised personally, so AI speeds up delivery without affecting quality or accuracy.

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