Best Practices
Follow these best practices to build production-ready applications that are reliable, performant, and scalable when using API Codex APIs.
Architecture Patterns
1. API Gateway Pattern
Centralize your API calls through a gateway that handles:
- Caching - Check cache before making requests
- Rate limiting - Prevent exceeding API quotas
- Circuit breaking - Fail fast when services are down
- Metrics collection - Track performance and errors
- Retry logic - Handle transient failures
2. Repository Pattern
Abstract API calls behind domain-specific repositories:
- Encapsulate caching logic
- Provide domain-specific methods (e.g.,
lookupDomain,validateEmail) - Enable dependency injection for testing
- Keep business logic separate from HTTP concerns
Performance Optimization
1. Connection Pooling
Reuse HTTP connections for better performance. In Node.js, use custom agents with keepAlive: true and configure maxSockets based on your load.
2. Smart Caching Strategy
Implement tiered caching with appropriate TTLs:
| Data Type | Cache Location | TTL |
|---|---|---|
| DNS records | Redis | 24 hours |
| Email validation | Memory | 1 hour |
| Text analysis | Memory | 30 minutes |
Use LRU (Least Recently Used) eviction when cache is full.
3. Batch Processing
When processing multiple items:
- Queue requests and process in batches
- Set a batch size limit (e.g., 10 items)
- Add a timeout to flush partial batches
- Process batches in parallel for throughput
Security Best Practices
1. Secure Configuration Management
- Never hardcode API keys - Use environment variables or secret managers
- Validate configuration on startup - Fail fast if required config is missing
- Use secret managers in production - AWS Secrets Manager, Azure Key Vault, Google Secret Manager
2. Request Validation & Sanitization
Always validate and sanitize input before making API calls:
- Email: Validate format with regex
- Domain: Check for valid domain characters
- IP Address: Validate IPv4/IPv6 format
- URL: Ensure proper protocol and format
- Sanitize strings: Remove potential XSS vectors
Monitoring & Observability
Key Metrics to Track
| Metric | Description | Alert Threshold |
|---|---|---|
| Request count | Total requests by endpoint | - |
| Error rate | Percentage of failed requests | > 5% |
| Response time (p95) | 95th percentile latency | > 2s |
| Cache hit rate | Percentage of cache hits | < 70% |
| Rate limit usage | Current usage vs quota | > 80% |
Structured Logging
Log in JSON format for easy aggregation:
- timestamp - ISO 8601 format
- level - debug, info, warn, error
- requestId - Unique identifier for tracing
- duration - Request duration in ms
- status - HTTP status code
Production Checklist
Pre-Deployment ✅
- Environment variables configured securely
- API keys stored in secret management service
- Error handling implemented comprehensively
- Rate limiting configured appropriately
- Caching strategy implemented
- Connection pooling configured
- Monitoring and alerting set up
- Logging configured with appropriate levels
- Health checks endpoint implemented
- Graceful shutdown handling added
- Security headers configured
- Input validation implemented
- Circuit breakers configured
- Retry logic with exponential backoff
- Timeout values set appropriately
Deployment Tips
Graceful Shutdown:
- Listen for SIGTERM/SIGINT signals
- Stop accepting new connections
- Wait for existing requests to complete (with timeout)
- Close database connections and flush caches
Health Check Endpoint:
- Return 200 OK when healthy
- Return 503 when degraded
- Include dependency status (cache, database, external APIs)
Next Steps
- Review Authentication for secure API access
- Understand Rate Limiting for optimal usage
- Master Error Handling for reliability
- Explore our API Catalog to start building
Conclusion
Following these best practices will help you build robust, scalable, and maintainable applications with API Codex APIs. Remember to:
- Plan your architecture before implementation
- Implement proper error handling from the start
- Monitor and measure everything
- Optimize gradually based on metrics
- Keep security as a top priority
For additional support and updates, follow our documentation and join the API Codex community.