Reading up on JSON

The handbook catalogs patterns for representing, recording, and executing money movements—precision handling, double-entry ledgers, immutability, and invariants—to prevent data loss or invention in fintech systems.

The article argues that for many small-scale, read-heavy, or single-user applications, flat files like JSON can outperform a full DBMS, but warns that scaling or adding write concurrency will force you to rebuild a database.

The author argues that Protocol Buffers offer superior efficiency over JSON for APIs, despite trade-offs in human readability and complexity.