API & Integration Overview
APIs (Application Programming Interfaces) are the contracts that allow software components to communicate. This section provides comprehensive guidelines for designing, implementing, and integrating HTTP-based APIs using REST, GraphQL, and OpenAPI contracts.
API Documentation Structure
Our API guidelines are organized by topic to help you find relevant information quickly:
REST API Design
REST Fundamentals - Core REST principles, HTTP methods, status codes, and resource modeling. Start here for REST basics.
REST Patterns - Pagination, filtering, sorting, searching, idempotency keys, and async operations. Essential patterns for scalable REST APIs.
REST Versioning - API versioning strategies, backward compatibility, deprecation processes, and migration paths.
GraphQL
GraphQL - GraphQL schema design, queries, mutations, when to use GraphQL vs REST, and implementation patterns.
API Contracts
API Contracts - Contract-first development, request/response modeling, validation, and contract testing.
OpenAPI Specifications - Writing OpenAPI specs, contract-first design, and generating documentation.
OpenAPI Backend Integration - Implementing APIs in Spring Boot using OpenAPI contracts.
OpenAPI Frontend Integration - Generating TypeScript clients from OpenAPI specs for React and Angular.
General API Patterns
API Patterns - Error handling, circuit breakers, retries, resilience patterns, and async processing patterns that apply across REST and GraphQL.
API Design Principles
Good API design follows these core principles:
1. Design for Consumers - Start with consumer needs, not your data model. Ask what tasks consumers are trying to accomplish and what would make the API easiest to use.
2. Be Consistent - Establish conventions (naming, error formats, pagination) and follow them everywhere. Consistency reduces cognitive load.
3. Use Standard Patterns - Leverage REST, GraphQL, OpenAPI, and gRPC rather than inventing custom protocols. Standards improve discoverability and reduce learning curve.
4. Design for Evolution - Plan for change through versioning, additive changes, deprecation periods, and backward compatibility.
5. Security by Default - Build in authentication, authorization, input validation, rate limiting, and HTTPS from the start.
See REST Fundamentals for REST-specific principles or GraphQL for GraphQL design patterns.
When to Use Each API Style
REST (Recommended for Most APIs)
Use REST for:
- Standard CRUD operations on resources
- Public-facing APIs (widely understood)
- APIs where caching is important
- Resource-oriented data models
Characteristics: Resource-oriented URIs, HTTP verbs, stateless, standard status codes, JSON/XML responses.
→ Start here: REST Fundamentals
GraphQL
Use GraphQL for:
- Clients needing flexible data fetching
- Fetching multiple related resources in a single request
- Strong typing requirements
- Client teams controlling data needs
Characteristics: Query language, schema-driven, type-safe, single endpoint, client-specified responses.
→ Learn more: GraphQL
Trade-offs: More complex to implement than REST, caching is harder, requires different tooling.
API Development Workflow
1. Design the Contract First
Define the API contract before implementing:
- For REST: Write OpenAPI Specification
- For GraphQL: Define the schema
Contract-first enables parallel development, stakeholder review before implementation, and auto-generated documentation.
2. Review the Contract
Get feedback from:
- Consumers: Do they find it intuitive?
- Security: Are there vulnerabilities?
- Architecture: Does it align with system design?
- Standards: Does it follow team conventions?
3. Implement Provider and Consumer
Backend: Implement API following the contract. See OpenAPI Backend Integration.
Frontend: Generate typed clients from contracts. See OpenAPI Frontend Integration.
4. Test the Contract
Verify provider and consumer match the contract:
- Contract Testing - Validate API contracts
- Integration Testing - Test end-to-end flows
- Security Testing - Test auth, validation, rate limiting
5. Document and Deploy
- Auto-generate documentation from OpenAPI specs (Swagger UI, ReDoc)
- Include getting started guide, authentication guide, examples
- Monitor API metrics and errors in production
Quick Reference
Essential Patterns
Pagination - Always paginate collections. Use cursor-based pagination for large datasets.
Filtering & Sorting - Support query parameters for filtering and sorting. See REST Patterns.
Error Handling - Use consistent error responses with HTTP status codes, error codes, and messages. See API Patterns.
Versioning - Use URL versioning (/api/v1/, /api/v2/) for major versions.
Idempotency - Make POST operations safe to retry using idempotency keys.
Async Operations - Return 202 Accepted with job tracking URL for long-running operations.
Security Checklist
- HTTPS only (redirect HTTP to HTTPS)
- Authentication (OAuth 2.0, JWT, API keys)
- Authorization (verify permissions per operation)
- Input validation (never trust client input)
- Rate limiting (prevent abuse)
- Never expose internal errors to clients
→ See: Security Overview
Observability Checklist
- Structured logging with correlation IDs
- Metrics (request rate, error rate, latency)
- Distributed tracing across services
- Monitoring and alerting
→ See: Observability Overview
Common Anti-Patterns to Avoid
Chatty APIs - Requiring many requests to accomplish a task. Solution: Provide composite endpoints or use GraphQL.
Leaky Abstractions - Exposing internal implementation details in URIs (e.g., /database/users/select). Solution: Design resource-oriented APIs.
Ignoring HTTP Semantics - Misusing HTTP methods (POST for reads) or status codes (200 with error body). Solution: Use HTTP correctly - see REST Fundamentals.
No Pagination - Returning unbounded collections. Solution: Always paginate - see REST Patterns.
No Versioning Strategy - Breaking clients without warning. Solution: Plan for versioning - see REST Versioning.
Related Guidelines
Framework Implementation
- Spring Boot API Design - Spring Boot implementation patterns
- Spring Boot Security - Securing Spring Boot APIs
- React State Management - API integration in React
- Angular Services - API integration in Angular
Cross-Cutting Concerns
- Security - Authentication, authorization, input validation
- Observability - Logging, metrics, tracing
- Performance - Performance optimization strategies
- Rate Limiting - Rate limiting implementation
- Caching - Caching strategies
Testing
- Contract Testing - API contract verification
- Integration Testing - End-to-end API testing
- Security Testing - API security testing
Further Learning
Study Well-Designed APIs:
- Stripe API - Excellent developer experience, clear documentation
- GitHub API - Well-versioned, comprehensive
- Twilio API - Clear, consistent patterns
Specifications and Standards:
- OpenAPI Specification - REST API contract standard
- GraphQL Specification - GraphQL query language
- RFC 7231 - HTTP Semantics - Official HTTP spec
Books:
- RESTful Web Services by Leonard Richardson & Sam Ruby
- Designing Web APIs by Brenda Jin et al.
- API Design Patterns by JJ Geewax