Comprehensive guidelines for designing consistent, interoperable, and developer-friendly REST APIs.
Microsoft REST API Guidelines is a comprehensive set of best practices and standards for designing RESTful APIs that are consistent, interoperable, and developer-friendly. It provides detailed recommendations on resource naming, error handling, versioning, pagination, and other critical aspects of API design to ensure high-quality, predictable interfaces. The guidelines aim to improve API quality across Microsoft services while serving as an educational resource for the broader API community.
API designers, developers, and architects building or consuming REST APIs, particularly those working on Microsoft Azure or Microsoft Graph services, as well as organizations seeking to establish internal API standards.
Developers choose these guidelines because they offer battle-tested, pragmatic design patterns from Microsoft's extensive API ecosystem, ensuring consistency and interoperability. The open-source, community-driven approach allows for adaptation and evolution, making it a valuable reference for both enterprise and public API projects.
Microsoft REST API Guidelines
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Offers standardized approaches for resource naming, error handling, versioning, and pagination, ensuring thorough and consistent API design as detailed in the README.
Guidelines for HTTP methods, status codes, and media types enhance service compatibility, making APIs more predictable and interoperable across systems.
Recommendations for clear documentation and intuitive resource modeling simplify API consumption, directly improving usability for developers.
Includes modular extensions like Azure and Microsoft Graph companion documents, providing tailored guidance for Microsoft service teams.
While general, the guidelines have specialized sections for Azure and Microsoft Graph, which may not align with non-Microsoft or open-source ecosystems.
As a set of recommendations, it lacks built-in validation or automation for compliance, relying on manual adherence which can lead to inconsistencies.
The comprehensive nature can be daunting for new API designers or small projects seeking lightweight, concise best practices without extensive study.