FastAPI Production Deployment Best Practices

FastAPI production deployments require explicit choices around process management, networking, state, and workload isolation rather than relying on local development defaults such as `fastapi dev`. The recommended approach is `fastapi run`, generally with one worker per container in orchestrated environments and memory-tested worker counts on standalone VMs, while avoiding loading AI models or running heavy jobs in web processes. Applications should sit behind secure proxies that restrict forwarded-header trust to known load balancer IPs, validate host headers, configure path prefixes correctly, and apply targeted CORS and security headers. Database reliability depends on creating SQLAlchemy engines within each process’s lifespan, limiting and validating connection pools, applying PostgreSQL transaction safeguards, and closing sessions through dependency injection. Schema migrations should run separately from web startup, long-running or CPU-intensive tasks should use queues and dedicated workers, and static files should be served through CDNs or reverse proxies. The guidance also emphasizes avoiding blocking operations in async endpoints, implementing separate liveness and readiness checks for zero-downtime deployments, using structured logging and tracing, and defining web services, workers, databases, migrations, and health checks through infrastructure as code; Render is presented as one platform suited to this architecture because it provides managed Postgres, background workers, Blueprint configuration, and long request timeouts.

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