The article outlines key challenges in distributed API design—including date formatting, decimal precision, response structures, idempotency, security, and naming consistency—and provides practical recommendations to improve usability, scalability, and maintainability across backend services.
This comprehensive guide explores the fundamentals of API design for front‑end development, covering naming conventions, lexical correctness, parameter ordering, return values, versioning, and extensibility, and provides practical code examples to help developers create intuitive, maintainable, and future‑proof interfaces.
This article traces the evolution of APIs from early mechanical automata and historic milestones like Deep Blue to today’s REST‑based Web APIs, highlights current challenges such as documentation drift and versioning, and proposes autonomous, self‑describing APIs powered by vocabularies and discovery services.
This article presents comprehensive API design standards for mobile apps, covering request/response conventions, naming rules, data type handling, security measures, compatibility, performance and user‑experience optimizations, and offers practical examples to help front‑end and back‑end engineers create robust, maintainable interfaces.
Effective API design requires shifting from a developer‑centric mindset to the user’s perspective, emphasizing clear documentation, stability, versioning, flexibility, security, and ease of use, while avoiding unnecessary complexity and ensuring consistent, well‑structured interfaces for diverse clients across web, mobile, and IoT platforms.
The article explores the rise of experience APIs and Backends for Frontends, discussing how microservice architectures, API facades, custom payloads, media types, Prefer headers, and GraphQL can be used to tailor APIs for diverse client platforms while weighing the trade‑offs for small versus large teams.
GitHub introduced a GraphQL‑based public API to overcome REST’s scalability and flexibility limits, allowing clients to specify exact data needs, reduce network overhead, and combine multiple queries into a single request, while offering features like batching, subscriptions, and data latency control.
This guide demystifies RESTful API design by explaining the role of each HTTP method, resource types, URL conventions, and best‑practice principles, using clear diagrams so beginners can grasp how to build scalable, maintainable backend services.
This article explains the fundamentals of RESTful architecture—including resources, uniform interfaces, URIs, statelessness—and compares it with ROA, SOA, and RPC, while also covering authentication methods such as Basic, Token, and OAuth, offering practical guidance for building robust microservice APIs.
This article analyzes how APIs create commercial opportunities, explains the criteria of practicality and usability, examines case studies such as Amazon and Twilio, and provides a step‑by‑step guide for designing APIs that deliver accurate, accessible data and drive business growth.
This article highlights the two most critical performance mistakes identified by Martin Thompson—excessive logging and poorly designed APIs—illustrating how logging threads can linearly increase latency and proposing better API signatures such as returning iterators or using caller‑provided collections to boost efficiency.
The article explores the multiple demands on internet systems, explains why business service granularity is the biggest obstacle to microservice adoption, and shares practical insights on designing a cloud‑native platform with Docker, Kubernetes, unified monitoring, API governance, and multi‑tenant resource isolation.
This article explains how GraphQL’s schema and type system model complex business data, and how its query language lets front‑end developers freely compose and customize data requests, covering core components, scalar and advanced types, queries, fragments, directives, and practical code examples.
This article explains how to design a well‑structured RESTful API by covering protocol choice, domain naming, versioning, endpoint conventions, HTTP verbs, filtering, status codes, error handling, response formats, hypermedia links, authentication, and data format recommendations.
This article explains why developer experience matters for API products, defines DX, outlines empathy‑driven principles, and provides concrete guidelines—clear documentation, easy onboarding, robust debugging tools, supportive channels, and community‑focused practices—to help API designers create more appealing and competitive services.
An experienced backend engineer shares practical strategies to prevent service failures, covering third‑party distrust, user‑side safeguards, robust API design, traffic limiting, resource management, and architectural best practices such as single‑responsibility and avoiding single points of failure.
This article presents practical guidelines for designing, versioning, securing, and documenting RESTful APIs, covering resource modeling, URL conventions, filtering, sorting, pagination, authentication, rate limiting, error handling, and response formats to help developers build flexible and user‑friendly public APIs.
The article shares Meiya's journey from a small startup to a full‑featured beauty video platform, detailing common early‑stage challenges, communication and protocol strategies, RESTful API design, development workflow, toolchain choices like Laravel, DB migrations, iOS libraries, ELK logging, and DevOps automation with SaltStack.
The article analyzes the practical differences and overlaps between RESTful APIs and Service‑Oriented Architecture, offering guidance on when to build services versus APIs, outlining each approach’s focus, best practices, and a step‑by‑step method for creating RESTful APIs within a unified strategy.
This article outlines a repeatable, seven‑step process for designing robust Web APIs that leverages both HTTP and broader Web protocols, covering everything from listing semantic descriptors to publishing the API, and emphasizes clear separation of design and implementation details for future extensibility.
This article presents a comprehensive, seven‑step methodology for designing, implementing, and maintaining Web APIs—covering business use‑case definition, semantic description, state‑diagram modeling, naming harmonization, media‑type selection, semantic archive creation, coding, and publishing—while offering interviews and further reading recommendations.
The article outlines the essential traits of high‑quality interfaces, describes a step‑by‑step process for designing and implementing them, and presents fundamental principles for interface, class, and method design to ensure usability, maintainability, and robustness in software development.
