Learn the architecture patterns and best practices we used to handle over 1 billion API requests per month.
Scalable APIs are less about one perfect framework and more about operational discipline. Observability, idempotency, queue design, and careful database access patterns matter more as volume grows.
At high scale, latency budgets and retry behavior become product decisions. Small inefficiencies in validation, caching, or joins multiply quickly.
The practical lesson is to optimize for debuggability first, then throughput. The systems that survive rapid growth are the ones teams can understand under pressure.
