FastAPI has gained popularity for building production APIs due to its asynchronous capabilities and automatic documentation, prompting many organizations to migrate from frameworks like Flask and Django REST. Transitioning to production deployment requires careful platform selection, with key considerations including configuration complexity, cost, scaling, and operational features. FastAPI operates on the ASGI specification, supporting asynchronous I/O and concurrency, unlike older WSGI frameworks. In production, FastAPI typically deploys with Uvicorn and Gunicorn for efficient process management. Key infrastructure considerations include isolated environment variable management, database connectivity, static file handling, and process supervision. Various deployment platforms such as Render, AWS, Heroku, Google Cloud Run, DigitalOcean, and Railway offer different trade-offs in terms of ease of use, pricing, scaling, and database management. Render stands out for its streamlined, Git-based deployment, native Python support, and predictable pricing, making it a strong choice for teams seeking managed infrastructure without deep DevOps expertise. Each platform offers unique advantages depending on specific project needs, such as AWS for custom networking or Cloud Run for variable traffic patterns.