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Topic
Python web-server deployment, process lifecycle, profiling, observability, rollout, and production incident judgment.
Practice items tagged with Production & Performance.
Explains per-worker memory and copy-on-write savings without preloading process-unsafe resources.
Produces a pinned, reviewable Python artifact once and promotes the same image across environments.
Trusts proxy-derived scheme, host, and client data only from known hops and configures externally visible paths correctly.
Coordinates readiness, signals, request drain, lifespan cleanup, and a bounded termination deadline.
Uses FastAPI lifespan to create and close process-owned resources around request serving.
Treats Python web workers as measured processes with separate memory, lifecycle, and failure boundaries.