Introduction Running a Python HTTP server in a containerized environment often feels like trying to fit a bulldozer into a compact car—it works, but the inefficiency is glaring. Take Uvicorn and Grainian, two popular Python HTTP servers: they consume ~600 MB of RAM at startup, a stark contrast to Node.js (128 MB) or even PHPMyAdmin (20 MB). This isn’t just a numbers game; it’s a physical resourc