P38 · Architecture, Services & Distribution

layered architecture, services & distributed basics

Shape a Python system into services and reason about scaling it: invert dependencies with ports and adapters, design an in-process API with idempotency and versioning, and make distributed calls survivable with retry-and-backoff - capped by a resilient-service capstone. All-Pyodide, build-in-process; real serving, sockets and queues stay prose.