REST API Principles
Comprehensive guide to REST architecture, constraints, design patterns, and the Richardson Maturity Model.
What is REST?
REST (Representational State Transfer) is an architectural style for designing networked applications. It was introduced by Roy Fielding in his 2000 doctoral dissertation.
Key Concept
REST is not a protocol or standard, but an architectural style. APIs that follow REST principles are called RESTful APIs.
REST Benefits
- • Scalability through statelessness
- • Performance via caching
- • Simplicity and uniformity
- • Platform independence
- • Flexibility and evolvability
Common Uses
- • Web services and APIs
- • Mobile app backends
- • Microservices communication
- • Third-party integrations
- • IoT device communication
Six REST Constraints
Separation of concerns between client (user interface) and server (data storage). They can evolve independently as long as the interface remains the same.
Benefits
- • Portability: UI can run on multiple platforms
- • Scalability: Server can handle multiple clients
- • Independent evolution: Front-end and back-end can change separately
Each request from client to server must contain all information needed to understand and process the request. Server doesn't store client context between requests.
Benefits
- • Scalability: Any server can handle any request
- • Reliability: Easier recovery from failures
- • Simplicity: No session state to manage
Responses must define themselves as cacheable or non-cacheable. If cacheable, client can reuse response data for equivalent requests.
Benefits
- • Performance: Reduces server load and latency
- • Bandwidth: Eliminates unnecessary data transfer
- • Scalability: Fewer requests to process
Standardized way of communicating between client and server. This is the fundamental constraint that makes REST unique.
Resource Identification
Resources are identified by URIs (e.g., /users/123)
Resource Manipulation via Representations
Client holds representation (JSON, XML) and has enough info to modify/delete resource
Self-Descriptive Messages
Each message includes enough information to describe how to process it
HATEOAS
Hypermedia As The Engine Of Application State - responses include links to related resources
Client cannot tell if it's connected directly to the end server or an intermediary. Allows for load balancers, proxies, gateways, and caches between client and server.
Benefits
- • Scalability: Add load balancers as needed
- • Security: Firewalls and proxies can filter traffic
- • Legacy encapsulation: Hide old systems behind modern interfaces
Server can extend client functionality by transferring executable code (e.g., JavaScript). This is the only optional constraint.
Note: Rarely used in modern REST APIs. Most APIs serve data, not executable code. However, web applications loading JavaScript from servers technically implement this.
Richardson Maturity Model
Leonard Richardson developed a maturity model that breaks down REST into levels, helping understand how "RESTful" an API really is.
The Swamp of POX
POX = Plain Old XML. Uses HTTP as transport only. Single endpoint, single HTTP method (usually POST).
Resources
Introduces multiple URIs for different resources. Still uses single HTTP method (POST).
HTTP Verbs
Uses proper HTTP methods (GET, POST, PUT, DELETE) and status codes. Most "RESTful" APIs are here.
Hypermedia Controls (HATEOAS)
Responses include links to related resources. Client discovers available actions from responses.
Level 2 is the sweet spot for most APIs. It provides the core benefits of REST without the complexity of full hypermedia.
Level 3 (HATEOAS) is ideal for public APIs where you want maximum flexibility and discoverability, but adds complexity that many applications don't need.
Avoid Level 0-1 - they miss out on HTTP's capabilities and make APIs harder to use and understand.
Resource Design Patterns
REST vs Other API Styles
| Aspect | REST | GraphQL | gRPC |
|---|---|---|---|
| Protocol | HTTP/HTTPS | HTTP/HTTPS | HTTP/2 |
| Data Format | JSON, XML | JSON | Protocol Buffers |
| Learning Curve | Easy | Medium | Steep |
| Caching | Built-in (HTTP) | Complex | Custom |
| Performance | Good | Good | Excellent |
| Browser Support | Full | Full | Limited |
| Best For | Public APIs, CRUD | Complex queries, mobile | Microservices, real-time |
| Tooling | Mature, widespread | Growing | Specialized |