This project contains practical tips and best practices for API development, inspired by lessons from the trenches.
This repository provides insights and guidelines on:
- Following RESTful principles
- Implementing versioning
- Securing your API
- Using OpenAPI and Swagger tools
- Asynchronous processing with queues
- Rate limiting
- Health checks
- Providing an API dashboard
- Using webhooks
- Optimizing microservices with gRPC
- Unit testing
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Follow RESTful Principles: Use standard HTTP methods.
- GET /documents: Retrieves a list of documents.
- POST /documents: Adds a new document.
- PUT /documents/{id}: Updates a specific document.
- DELETE /documents/{id}: Removes the document.
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Use standard HTTP methods: GET, POST, PUT, DELETE.
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Keep APIs stateless.
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Utilize resources and URIs effectively.
- Implement Versioning: Via URI paths, query parameters, or headers.
- Example:
/api/v1/documents
- Example:
- Allow for backward compatibility.
- Plan for deprecation phases.
- OAuth & API Keys: Secure access and monitor API usage.
- Scoped Access: Define specific permissions for different API modules.
- Token Management: Use access tokens with short expiration and refresh tokens for user convenience.
- Secure Data Transmission: Use HTTPS.
- Validate Inputs: Prevent vulnerabilities by validating user inputs.
- Authentication and Authorization: Integrate role-based, claim-based, and resource-based authorization.
- Standard Format: Use OpenAPI for defining REST APIs.
- Swagger Tools: Use Swagger UI for interactive testing and Codegen for auto-generating code and documentation.
- Offload Tasks: For faster API responses.
- Load Balancing: Manage spikes and improve system response.
- Reliability: Enhance robustness with retry mechanisms.
- Scalability: Distribute tasks across workers for efficient scaling.
- Environment Segregation: Separate rate limits for test and production environments.
- Prevent Abuse: Set and enforce appropriate rate limits.
- Meaningful Error Responses: Inform users when rate limits are exceeded.
- Use Health Check Libraries: Monitor third-party services.
- Provide Health Check Endpoints: Allow users to verify system status.
- Proactive Maintenance: Use health check data for early issue detection.
- Uptime Data: Keep users informed about system status.
- Visualize Usage: Monitor API usage and metrics in real-time.
- Simplify Management: Use dashboards for troubleshooting.
- Retries: Ensure delivery with automatic retries.
- Secure Messages: Use HMAC for cryptographic hashing.
- IP Whitelisting: Restrict access to trusted sources.
- Monitor Performance: Use dashboards to monitor webhook performance.
- Reliability Enhancement: Retry for transient errors.
- Backoff Strategies: Use fixed and exponential delays.
- Retry Limits & Circuit Breaker: Limit retries and manage system recovery.
- Optimized for Microservices: Improve inter-service communication.
- High Performance: Use HTTP/2 for lower latency.
- Efficient Data Handling: Use Protocol Buffers for faster serialization.
- Scalable Architecture: Efficiently scale microservices.
- Mock Dependencies: Use mocking to isolate units from dependencies.
- Dependency Injection: Simplify testing with ASP.NET Core's dependency injection.
- Async Testing: Replicate asynchronous behavior in tests.
- Fast and Reliable Tests: Use in-memory databases for quick checks.