Observed Signal · Jun 5, 2026 · Technical Release · Source: DEV Community · Impact: 1/5 · Sentiment: Neutral
REST API Design: Building APIs Developers Love
A developer guide (published 2026-06-05) that outlines practical principles and patterns for designing RESTful APIs focused on consistency, simplicity, predictability, and discoverability. It covers URL and resource naming (use nouns, avoid verbs), HTTP method semantics and correct status code usage, request/response envelope patterns, standard headers (e.g., Content-Type, Authorization, X-Request-ID), pagination/filtering/sorting best practices (cursor-based pagination, sparse fields), versioning strategies (URL and header-based), and deprecation signaling (Deprecation, Sunset, Link headers). The article includes code examples (Express) and recommends clear error envelopes and metadata for observability and developer ergonomics.
Technical developer guidance on REST API design is useful to engineers but not specific to AdTech/MarTech and does not materially shift the industry.
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Key Takeaways & Evidence Grounding
- Article lists core API design principles: consistency, simplicity, predictability, and discoverability.
- Recommends RESTful URL design using nouns (e.g., /users, /users/123) and HTTP method mappings (GET/POST/PUT/PATCH/DELETE).
- Describes correct use of HTTP status codes (2xx, 3xx, 4xx, 5xx) and idempotency semantics for methods like PUT and DELETE.
- Advocates request/response envelope pattern (data + meta), consistent error structure, and headers such as Authorization, X-Request-ID, and X-API-Version.
- Recommends cursor-based pagination with opaque next_cursor, sparse field selection, standard filtering and sorting query conventions, and versioning/deprecation strategies (URL or header versioning and Deprecation/Sunset/Link headers).
Ontology Mapping & Concepts
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What an API Is — A Plain‑English Guide
This developer-focused blog post explains what an API (Application Programming Interface) is using a restaurant analogy. It breaks APIs into key parts — the documentation as a 'menu', requests (orders) with action/target/details, and responses (plates) with status and content — and describes how APIs travel over HTTP/HTTPS. The post surveys common API styles (REST, GraphQL, SOAP, webhooks), gives a real-world weather-app example, and encourages readers to experiment with public APIs using tools like Postman. The article emphasizes that well-designed APIs hide backend complexity, enable composable software, and speed product development by letting teams reuse existing services for maps, payments, authentication and more.
API Versioning Strategies: REST vs GraphQL
This technical guide compares API versioning strategies for REST and GraphQL, drawing on the author's multi-year experience and concrete operational examples. For REST the article reviews common approaches — URI/path versioning, query-parameter versioning, header-based versioning (e.g., X-Api-Version), and content negotiation via Accept media types — and lists trade-offs for cacheability, discoverability, routing complexity, and testing. For GraphQL it advocates schema evolution (single endpoint, add fields, mark deprecated fields with @deprecated) instead of traditional versioned endpoints. The author shares recommendations: plan and document versioning early, communicate deprecation timelines to clients, monitor version usage, avoid breaking changes by running versions in parallel, and consider an API gateway to route versions. The piece includes Nginx and FastAPI examples and real usage metrics from projects.
Designing a Data-Driven API Gateway
This technical guide by Rizwan Saleem (published 2026-06-02) explains how to design a data-driven API gateway for microservices. It covers the gateway's mission, architecture (data plane vs control plane), a compact policy model (routes, auth, rate limits, circuit breakers, telemetry), core datapath design, protocol translation (REST↔gRPC, WebSocket passthrough), security (JWT, mTLS, secret management), observability (OpenTelemetry, Prometheus, logs, dashboards) and deployment best practices (canary/blue-green, hot-reload policies, shadow traffic). The article includes a minimal example scaffold in Go with components for routing, JWT auth, an in-memory rate limiter, a reverse proxy, Prometheus metrics and OpenTelemetry tracing, plus recommendations for storage and service registry choices (Redis, etcd, Consul).
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