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| REST Super | |
|---|---|
| Name | REST Super |
| Operating system | Cross-platform |
| Genre | Web API architecture |
REST Super
REST Super is a proposed extension to representational state transfer approaches intended to standardize high-level conventions for web services. It synthesizes ideas from established architectures and protocols to define conventions for resource modeling, hypermedia controls, and interaction patterns. Proponents situate it among influences such as Roy Fielding, HTTP/1.1, JSON, XML, and Hypermedia-centric designs, and compare deployments alongside platforms like Amazon Web Services, Google Cloud Platform, and Microsoft Azure.
REST Super frames resource-oriented APIs with prescriptive guidance for URI design, media types, and action semantics, drawing comparisons to SOAP, GraphQL, OData, gRPC, and JSON:API. The model emphasizes link-driven interactions similar to philosophies in Richardson Maturity Model discussions, and integrates practices from OpenAPI Initiative, IETF, W3C, IANA, and standards work associated with IETF RFCs and W3C Recommendations.
The architecture recommends clear separation of concerns influenced by Model–view–controller, Event-driven architecture, Service-oriented architecture, and Microservices. It prescribes use of established internet protocols including HTTP/2, HTTP/3, TLS, and aligns with message formats like JSON-LD, HAL, AtomPub, and RSS. Design principles reference thinkers and institutions such as Roy Fielding, Tim Berners-Lee, World Wide Web Consortium, and practices codified by IETF working groups.
Endpoints under the specification map to resource hierarchies with predictable verbs patterned after HTTP methods like GET (HTTP), POST (HTTP), PUT (HTTP), PATCH (HTTP), and DELETE (HTTP). Responses recommend status semantics from HTTP/1.1 codes and content negotiation influenced by RFC 7231 and media type registries maintained by IANA. Tooling ecosystems discussed include Swagger, OpenAPI Specification, RAML, API Blueprint, and testing platforms such as Postman, SoapUI, Insomnia.
Security guidance aligns with established protocols and standards including OAuth 2.0, OpenID Connect, JSON Web Token, Mutual TLS, and recommendations from OWASP. It discusses integration patterns with identity providers like Okta, Auth0, Azure Active Directory, and federated identity models referenced by SAML 2.0 and LDAP. Cryptographic recommendations reference libraries and specifications from NIST and transport protections from Let's Encrypt ecosystems.
Performance strategies reference techniques used by Amazon Elastic Load Balancing, Kubernetes, NGINX, Envoy (software), and HAProxy for load distribution. Caching recommendations cite standards such as HTTP caching semantics in RFC 7234, use of CDNs like Cloudflare, Akamai Technologies, and architectures from Content Delivery Network providers. Asynchronous patterns draw on Apache Kafka, RabbitMQ, Redis, and Amazon SQS for queuing and event streaming.
Ecosystem implementations span language ecosystems with libraries such as Express.js, Django REST Framework, Spring Framework, ASP.NET Core, FastAPI, Flask (web framework), Node.js, Go (programming language), and Ruby on Rails. Client and server tools include Axios (software), Retrofit (software), Faraday (HTTP client), Requests (software), HttpClient (Java), and code generation via OpenAPI Generator and Swagger Codegen.
Adoption scenarios include public APIs run by Twitter, Facebook, GitHub, Stripe, PayPal, Dropbox, and Salesforce where predictable resource interfaces are desirable. Enterprise integrations reference patterns used by SAP, Oracle Corporation, IBM, ServiceNow, and Atlassian. Mobile and IoT examples draw on platforms like Android (operating system), iOS, Arduino, and Raspberry Pi where constrained clients benefit from standardized interactions.
Critiques compare REST Super to alternatives such as GraphQL, gRPC, and OData citing concerns about over-prescription and potential mismatch with real-time needs found in WebSocket-based systems, QUIC-driven transports, and event-centric platforms like Apache Pulsar. Observers from communities including GitHub, Stack Overflow, Reddit, and academic circles at MIT, Stanford University, and UC Berkeley have debated trade-offs between uniformity and flexibility.
Category:Web API architectures