fastapi-advanced

FastAPI lifespan management handles startup and shutdown resources using async context managers. This ensures database connections and background tasks initialize cleanly during application startup and dispose safely during shutdown.

Structured logging and request tracing middleware in FastAPI intercepts incoming requests to attach trace IDs and measure timing. Using structlog, it outputs structured JSON logs for better observability and debugging in production.

Pydantic settings configure environment-driven FastAPI applications by loading variables from environment files. This validates configuration types automatically and provides a centralized, type-safe settings object across your project.

Redis and SQLAlchemy integrations are optional for FastAPI dependency injection patterns. The core dependency injection and service patterns work independently, activating Redis or SQLAlchemy features only when those specific dependencies are installed.

RFC 9457 style error responses in FastAPI use ORJSON for high-performance serialization. This pattern structures error payloads with standard problem details fields, ensuring consistent API error handling across all endpoints.