03 Data Persistence
Intro
Data persistence is how software survives a restart: storing, retrieving, and protecting state across processes and machines. The choice between SQL, NoSQL, and caching layers shapes every system's consistency guarantees, latency profile, and operational cost. Example: picking the wrong isolation level can silently corrupt data under concurrency, while an unnecessary cache adds a stale-read failure mode that did not exist before.