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Building a Production-Ready REST API with FastAPI and Docker: A Complete Guide
Ever wondered how to build a production-grade REST API that's secure, scalable, and properly containerized? In this comprehensive guide, we'll walk through creating a professional API using FastAPI, PostgreSQL, and Docker. We'll use a real-world example of integrating with Studio Ghibli's API to demonstrate enterprise-level patterns and practices.
What You’ll Learn
- Setting up a FastAPI project with proper structure
- Implementing secure authentication and authorization
- Creating maintainable database models with SQLModel
- Containerizing your application with Docker
- Configuring different environments (development/production)
- Writing comprehensive tests
- Deploying with proper security considerations
Project Overview
Source Code
The complete project code is available on GitHub. Feel free to explore, contribute, or use it as a reference for your own projects.
Current Implementation
Our project implements a production-ready REST API with:
- Role-based authentication and authorization
- Complete user management system
- Integration with external APIs
- Multi-environment support
- Containerized deployment
- Comprehensive testing suite

Professional Project Structure
Here's our production-grade project structure:
.
├── app/
│ ├── api/ # API endpoints and routes
│ │ ├── v1/
│ │ │ ├── auth.py
│ │ │ ├── ghibli.py
│ │ │ └── user.py
│ │ └── deps.py
│ ├── core/ # Core configurations
│ │ ├── config.py
│ │ ├── security.py
│ │ └── logging.py
│ ├── crud/ # Database operations
│ │ └── user.py
│ ├── models/ # Data models
│ │ └── user.py
│ └── services/ # Business logic
│ └── ghibli.py
├── containers/ # Docker configurations…