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Designing Scalable APIs

Principles and patterns for building resilient, evolvable API architectures.

V

Vengatesan Ganesan

May 6, 202410 min read

A scalable API is one that survives growth in traffic, teams, and features without a rewrite. Scalability starts with the contract, not the servers.

Design the Contract First

Model resources around your domain, not your database tables. Keep endpoints predictable and consistent, and version deliberately.

api.http
GET /v1/orders?status=open&limit=20
Authorization: Bearer <token>

Paginate Everything

Never return unbounded lists. Cursor-based pagination stays stable as data changes.

response.json
{
  "data": [{ "id": "ord_1" }, { "id": "ord_2" }],
  "next_cursor": "eyJpZCI6Im9yZF8yIn0"
}

Pro tip

Return a next_cursor even when the page is full — clients shouldn't have to guess whether more data exists.

Make Writes Idempotent

Accept an idempotency key on mutating requests so retries don't double-charge or double-create.

Evolve Without Breaking

  • Add fields; never repurpose them.
  • Treat removals as breaking changes behind a new version.
  • Ship deprecation headers before you delete anything.

Key Takeaways

Scalable APIs are boring on purpose: predictable contracts, bounded responses, idempotent writes, and additive evolution. The boring parts are what let you move fast later.