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Master RESTful API Design with Style

Your comprehensive resource for REST architectural patterns, API design principles, and modern web service development best practices.

REST Architectural Style Diagram

Top 7 REST API Design Principles Every Developer Must Know

REST API Design Principles
  1. Stateless Communication: Each request must contain all information needed to understand and process it
  2. Uniform Interface: Consistent resource identification through URIs and standard HTTP methods
  3. Client-Server Architecture: Clear separation of concerns between client and server components
  4. Cacheable Responses: Responses should be explicitly marked as cacheable or non-cacheable
  5. Layered System: Architecture composed of hierarchical layers with each layer only knowing about immediate layers
  6. Code on Demand (Optional): Servers can extend client functionality by transferring executable code
  7. Resource-Based URLs: URLs should represent resources, not actions or operations

5 Essential HTTP Methods for RESTful Services

  • GET: Retrieve data from specified resources without side effects
  • POST: Create new resources or submit data for processing
  • PUT: Update existing resources or create if they don't exist
  • DELETE: Remove specified resources from the server
  • PATCH: Apply partial modifications to existing resources

Understanding these HTTP methods is crucial for building intuitive and predictable REST APIs. Each method has specific semantics and idempotency characteristics that affect how clients interact with your services.

HTTP Methods for REST APIs
REST vs GraphQL Comparison

REST vs GraphQL: 6 Key Differences You Should Consider

  1. Data Fetching: REST uses multiple endpoints; GraphQL uses single endpoint with flexible queries
  2. Over/Under-fetching: REST may fetch too much/little data; GraphQL requests exactly what's needed
  3. Caching: REST has excellent HTTP caching; GraphQL caching is more complex
  4. Learning Curve: REST is simpler to learn; GraphQL requires understanding query language
  5. Tooling: REST has mature ecosystem; GraphQL has rapidly growing toolset
  6. Real-time: REST uses polling/webhooks; GraphQL has built-in subscriptions