Well-designed APIs are the backbone of modern applications. Whether you're building REST or GraphQL APIs, following best practices ensures scalability and developer happiness.
The key takeaway
Use REST with consistent resource names, HTTP methods and status codes for straightforward operations, and GraphQL when complex data relationships or multiple client types make over-fetching a problem. For either style, plan versioning from day one, validate permissions at the API layer, rate limit, document with examples and paginate large datasets.
RESTful API Design Principles
Resource Naming
Use nouns, not verbs. Plural for collections: /users, /products. Keep URLs consistent and predictable.
HTTP Methods
- GET: Retrieve resources
- POST: Create new resources
- PUT/PATCH: Update resources
- DELETE: Remove resources
Status Codes
Use appropriate HTTP status codes: 200 (OK), 201 (Created), 400 (Bad Request), 401 (Unauthorized), 404 (Not Found), 500 (Server Error).
GraphQL Advantages
GraphQL solves over-fetching and under-fetching problems. Clients request exactly what they need, reducing bandwidth and improving performance.
When to Use GraphQL:
- Complex data relationships
- Multiple client types (web, mobile, IoT)
- Need for real-time subscriptions
- Evolving schema requirements
Which API best practices apply to both REST and GraphQL?
Versioning
Use URL versioning (/api/v1/) or header-based versioning. Plan for deprecation from day one.
Authentication & Authorization
Use an appropriate identity protocol and enforce server-side authorisation. OAuth 2.0 is an authorisation framework; JWT is a token format, not a complete authentication design. Always validate permissions at the API layer.
Rate Limiting
Protect your API from abuse with rate limiting. Use headers to communicate limits to clients. For per-tenant limits in SaaS products, see multi-tenant SaaS architecture patterns.
Documentation
Provide comprehensive documentation with examples. Tools like Swagger/OpenAPI for REST, GraphQL Playground for GraphQL.
Error Handling
Return consistent error formats with clear messages and error codes. Help developers debug quickly.
Performance Optimization
- Implement pagination for large datasets
- Use caching strategically (ETags, Cache-Control)
- Enable compression (gzip, brotli)
- Consider GraphQL DataLoader for N+1 query problems
Actinode designs and implements production-ready APIs that scale. From REST to GraphQL, we follow industry best practices for optimal performance and developer experience. API design is core to every product we build through our development service.
Questions and answers
Should I build a REST API or a GraphQL API?
REST is the standard choice for straightforward CRUD operations with a single client type. Choose GraphQL when you have complex data relationships, multiple client types (web, mobile, IoT), or when clients need to request exactly the data they need without over-fetching.
How should I version a REST API?
Use URL versioning (/api/v1/, /api/v2/) or header-based versioning. Plan for deprecation from day one — document which version is current, which is deprecated, and when old versions will be removed.
What is rate limiting and why do APIs need it?
Rate limiting restricts how many requests a client can make in a time window, protecting your API from abuse and ensuring fair usage. Use response headers (X-RateLimit-Limit, X-RateLimit-Remaining) to communicate limits to API consumers.
How do I handle the N+1 query problem in GraphQL?
Use the DataLoader pattern to batch and cache database requests. Without it, resolving a list of items with nested fields triggers one database query per item — DataLoader collapses these into a single batched query.