Is SQLite just a toy? Nope. In this video, I break down why SQLite is often the superior production choice for read-heavy, single-server, and edge workloads and how to set it up for speed, reliability, and dead-simple ops. We’ll cover WAL mode for concurrency, backup + restore with streaming, and real production patterns (per-tenant DBs, hybrid with Postgres, SQLite as a zero-latency cache). You’ll also see where SQLite isn’t a fit so you can choose with confidence. Highlights Why “embedded DB” ≠ “toy” and how SQLite removes an entire class of failures. WAL mode = concurrent readers + faster writes; common myths debunked. Real-world proof points (yes, big money moves on SQLite) and how edge platforms benefit. Backup/restore that’s literally just files + streaming for point-in-time recovery. When you still want Postgres/MySQL (multi-writer, server-side ACLs, built-in replication). Timestamps / Chapters 00:00:00 - Hook: “SQLite for production? Yes.” 00:00:30 - Reality check: who’s already doing this (and at what scale) 00:00:52 - Why SQLite ≠ client-server: think “library,” not “server” 00:01:16 - What SQLite actually is (ACID, SQL, up to massive DB sizes) 00:01:41 - Where it crushes: reads, single-server, edge, embedded analytics 00:02:53 - Limits (and the truth about concurrency with WAL) 00:04:38 - Architecture shift: app → disk (fewer moving parts) 00:05:03 - Ops dream: backups, point-in-time restore, simple testing/monitoring 00:06:21 - Production patterns: cache, per-tenant DBs, hybrid with Postgres 00:06:47 - When to use / when not to use SQLite 00:07:14 - Case study results: faster, cheaper, simpler migrations 00:08:04 - The mental shift (& why platforms are betting on it) 00:08:49 - Final checklist: should your next app start with SQLite? If you found this useful, like & subscribe and drop your questions below. Want a deep-dive on WAL tuning or per-tenant DB design? Tell me in the comments. #sqlite #postgresql #database