APIs are the contracts between systems. A well-designed API is not only functional but also predictable, consistent, and future-proof. Poor design leads to confusion, misuse, and costly rewrites. This chapter explores the core principles that guide scalable and developer-friendly API design.
1️⃣ Consistency in Resource Naming and Structure
Consistency is key to usability. Clients should be able to guess an endpoint or understand a response without always checking documentation.
Resource-oriented naming (use nouns, not verbs):
/users/123/orders // clear, resource-based /getUserOrders?id=123 // action-based, inconsistent)
Plural nouns for collections:
/users /users/{id} /users/{id}/posts
- Standard HTTP methods:
GET /users
: Retrieve usersPOST /users
: Create userPUT /users/{id}
: Update userDELETE /users/{id}
: Delete user
2️⃣ Statelessness and Scalability
APIs should be stateless: each request must contain all necessary information for the server to process it:
- Don't rely on server-side sessions.
- Use tokens (JWT, OAuth2) for authentication.
- Benefits: scalability, fault tolerance, easier load balancing.
Example:
GET /orders/123
Authorization: Bearer <token>
The server can validate the request without remembering prior interactions.
3️⃣ Idempotency
Idempotency means that repeating the same request produces the same result.
GET
is naturally idempotent (multiple GETs = no side effects).PUT
should overwrite an entity without duplicating.DELETE
should succeed even if the resource no longer exists.
Why it matters:
- Prevents duplicate charges/orders in case of retries.
- Ensures APIs are safe under network failures.
Example:
PUT /orders/123
{
"status": "cancelled"
}
No matter how many times it's called, the order stays cancelled.
4️⃣ Versioning Strategies
APIs evolve over time. A breaking change should never silently disrupt clients.
URI-based versioning:
/api/v1/users /api/v2/users
Header-based versioning:
Accept: application/vnd.api+json; version=2
- Best practice: Plan for backward compatibility, and always provide a deprecation path.
5️⃣ Pagination, Filtering, and Sorting
Large datasets should never be returned in a single response.
Pagination:
GET /users?page=2&limit=50
Filtering:
GET /users?role=admin&status=active
Sorting:
GET /users?sort=created_at&order=desc
Response example:
{ "data": [...], "pagination": { "page": 2, "limit": 50, "total": 1000 } }
6️⃣ Structured Error Handling
Errors should be predictable and structured so that clients can handle them programmatically.
- Use standard HTTP status codes:
200 OK
: Success400 Bad Request
: Client error401 Unauthorized
: Invalid credentials404 Not Found
: Resource missing500 Internal Server Error
: Unexpected server error
Error response format:
{ "error": { "code": "USER_NOT_FOUND", "message": "User with ID 123 does not exist", "details": { "id": 123 } } }
7️⃣ Example: A Well-Designed Endpoint
GET /api/v1/users/123/orders?status=active&limit=10
Response:
{
"data": [
{ "id": 1, "item": "Laptop", "status": "active" },
{ "id": 2, "item": "Headphones", "status": "active" }
],
"pagination": {
"page": 1,
"limit": 10,
"total": 25
},
"meta": {
"request_id": "abc-xyz-123",
"timestamp": "2025-08-27T09:00:00Z"
}
}
- Consistent resoruce naming (
/users/123/orders
). - Stateless (auth token required per request).
- Idempotent if repeated.
- Versioned (
/v1
). - Paginated results.
- Structured errors & metadata included.
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