api-design-principles

RESTful API best practices involve using resource-oriented architecture with proper HTTP method semantics for intuitive endpoints. This approach covers resource collection design, pagination, filtering, error handling, versioning, and HATEOAS to ensure scalable and maintainable interfaces.

GraphQL schema design uses a schema-first development approach with defined resolver patterns. To prevent the N+1 problem, implement DataLoader patterns for batching requests, ensuring efficient data fetching and maintaining consistent API performance.

Choosing between REST and GraphQL depends on your architecture needs. REST uses resource-oriented HTTP semantics, while GraphQL offers schema-first development and resolver patterns. Evaluate your data fetching requirements and client flexibility needs to decide.

API pagination, filtering, and error handling in Python use practical design patterns for resource collections. Implement standard HTTP status codes for errors and cursor or offset pagination techniques to manage large datasets efficiently.

Common API design mistakes include improper HTTP method usage, inconsistent error handling, neglecting pagination, and ignoring the N+1 problem in GraphQL. Following established best practices prevents these pitfalls and ensures developer experience.

Establishing API design standards requires understanding software architecture principles like resource-oriented design and HTTP semantics. Teams use these guidelines to choose appropriate patterns, avoid pitfalls, and build maintainable microservice APIs.