Understanding REST Fundamentals
Fundamental concepts and principles that define RESTful API architecture
5 minute read
This section covers the core foundations of RESTful API design and development, providing essential knowledge for building effective, scalable, and maintainable REST services.
REST (Representational State Transfer) is an architectural style that defines a set of constraints for creating web services. RESTful APIs use standard HTTP methods, leverage the existing features of the protocol, and focus on resources rather than operations.
REST APIs are built on top of HTTP (Hypertext Transfer Protocol), utilizing its methods, status codes, and headers to enable communication between clients and servers:
HTTP Method | Typical Usage in REST APIs | Idempotent | Safe |
---|---|---|---|
GET | Retrieve a resource or collection | Yes | Yes |
POST | Create a new resource | No | No |
PUT | Update a resource (complete replacement) | Yes | No |
PATCH | Update a resource (partial modification) | Yes* | No |
DELETE | Remove a resource | Yes | No |
HEAD | Retrieve headers only (like GET without body) | Yes | Yes |
OPTIONS | Get supported methods/CORS preflight | Yes | Yes |
*PATCH is idempotent only if properly implemented
REST is built around several key concepts that guide API design:
In REST, everything is a resource that can be identified by a unique URI. Resources can be:
Resources can have multiple representations (JSON, XML, etc.) based on client needs. Content negotiation determines which representation is served in the response.
Each request from client to server must contain all information needed to understand and process the request. The server shouldn’t store client context between requests.
RESTful APIs provide a uniform way to interact with resources using standard HTTP methods, self-descriptive messages, and hypermedia as the engine of application state (HATEOAS).
The following principles guide the design of truly RESTful APIs:
APIs should be organized around resources, with resource identifiers (URIs) used consistently.
Use HTTP methods according to their defined semantics:
Return meaningful HTTP status codes that properly convey the outcome of operations.
APIs should include links in responses that guide clients on possible next actions, reducing the need for clients to have URI construction knowledge.
API architecture can include multiple layers (load balancers, gateways, etc.) that are invisible to clients.
Below is a table of pros and cons for various aspects of REST API implementation:
Approach | Pros | Cons |
---|---|---|
REST vs. GraphQL | • Caching support • Standardized methods • Widely adopted • Statelessness improves scalability | • Multiple requests for complex data • Potential over-fetching/under-fetching • Less flexible for varied client needs |
REST vs. gRPC | • Human-readable formats • Easier debugging • Broad browser support • Less client/server coupling | • Typically slower performance • Larger payload sizes • No built-in code generation • No built-in streaming |
Resource-based design | • Intuitive organization • Clear mapping to domain objects • Easier to understand and document | • May not fit all operations • Can be challenging for complex relationships • May lead to endpoint proliferation |
JSON representation | • Lightweight and readable • Native JavaScript support • Wide tool support • No schema requirement | • No built-in schema validation • Type information needs external definition • Verbosity compared to binary formats |
XML representation | • Built-in validation (XSD) • Rich metadata support • Namespaces • Mature tooling | • Verbose • More processing overhead • More complex to parse • Less popular in modern APIs |
REST versioning in URL | • Explicit and visible • Easy client implementation • Clear version isolation | • Breaks resource identification purity • Complicates URI construction • Can lead to code duplication |
REST versioning in header | • Maintains clean URIs • Preserves resource identification • More RESTful approach | • Less visible • More complex client implementation • Harder to test in browsers |
Strict REST compliance | • More predictable behavior • Better alignment with HTTP • Improved cacheability • More self-documenting | • Implementation complexity • HATEOAS adds overhead • May be overkill for simple APIs • Steeper learning curve |
Pragmatic REST | • Faster implementation • Lower learning barrier • More flexibility • Focus on practical needs | • Less consistent across implementations • May sacrifice beneficial constraints • Potential for anti-patterns |
REST implementation can be evaluated according to the Richardson Maturity Model:
Most real-world “RESTful” APIs operate at Level 2, with few reaching the full Level 3 hypermedia implementation.
Fundamental concepts and principles that define RESTful API architecture
Understanding and implementing API contracts for REST services using OpenAPI, Swagger, and other tools