API Design & Integration

We follow REST and GraphQL best practices to design APIs that are intuitive and developer-friendly. Our approach includes clear resource modeling, consistent naming conventions, and thoughtful HTTP method usage. We design for extensibility, allowing APIs to evolve without breaking existing clients. API documentation is comprehensive and includes code examples for common use cases.

API security is paramount. We implement OAuth 2.0 and OpenID Connect for authentication, role-based access control (RBAC) for authorization, and API key management for service-to-service communication. Rate limiting prevents abuse, while request signing ensures integrity. We implement CORS policies carefully to balance security and usability.

Great APIs require great documentation. We use OpenAPI/Swagger specifications to document APIs comprehensively, generate interactive API explorers, and provide SDKs in popular languages. Developer portals include getting started guides, code examples, and sandbox environments for testing. Clear error messages and status codes guide developers toward correct usage.

We implement versioning strategies that allow APIs to evolve without breaking existing clients. URL versioning, header-based versioning, and content negotiation are evaluated for your specific needs. Deprecation policies provide clear timelines for removing old API versions. Comprehensive changelog documentation helps developers understand what changed between versions.

We implement proven integration patterns including request/response transformation, protocol translation, and event-driven integration. API gateways provide centralized management, rate limiting, and request routing. Message queues enable asynchronous integration for decoupled systems. We handle error handling, retry logic, and circuit breakers to ensure reliable integrations.

APIs must perform under load. We implement caching strategies (HTTP caching, application-level caching), pagination for large result sets, and field selection to reduce payload size. Load testing identifies bottlenecks before they impact users. We monitor API performance metrics including latency, throughput, and error rates.