Challenge 2: Redis or MySQL? — Possible Solution ==================================================================== (a) A user's shopping cart contents during an active session — REDIS. This is exactly the kind of short-lived, frequently-read-and-updated data Redis fits well: it needs to be fast (checked/updated on nearly every page view), and losing it in the rare case of a crash is inconvenient but not catastrophic — the cart can be rebuilt or the user can just re-add items. It also naturally expires (Chapter 5) once a session ends, which Redis handles well via TTLs. (b) Completed order records for a business's permanent financial history — MYSQL. This is the textbook case for "must survive a crash with zero loss" — a business cannot afford to lose a record of a completed, paid order due to a server restart or crash. This is exactly the system-of-record role MySQL is built for, with durable, ACID- compliant writes as its core guarantee, not an optional add-on. The underlying test in both cases: can this data be lost or become stale without real consequences (Redis fits), or does it need to be the permanent, durable source of truth (MySQL/MongoDB fits)?