Serverless Architecture for Travel APIs

A dive booking platform might see 10 requests per hour in May and 10,000 per hour in December. Traditional server architecture forces you to provision for peak, wasting money year-round.

The Cold Start Problem

Serverless functions take time to initialize after idle periods. For travel APIs, this matters less than you'd think — most requests are async (availability checks, booking confirmations) rather than real-time user interactions.

Edge Caching

Static data like resort descriptions, dive site maps, and pricing tiers should live at the edge. Only dynamic inventory and bookings need to hit your origin server.