Production Tips

Comprehensive guide to deploying and optimizing PGRestify in production environments.

Performance Optimization

Connection Pooling

const client = createClient('http://localhost:3000', {
  connection: {
    // Connection pool configuration
    poolSize: 10,
    maxIdleTime: 30000, // 30 seconds
    
    // Retry and timeout settings
    timeout: 5000, // 5 seconds
    retry: {
      enabled: true,
      maxAttempts: 3,
      delay: 1000 // 1 second between retries
    }
  }
});

Caching Strategies

const client = createClient('http://localhost:3000', {
  cache: {
    // Intelligent caching for production
    enabled: true,
    strategy: 'lru', // Least Recently Used
    maxEntries: 1000,
    ttl: 300000, // 5 minutes
    
    // External cache storage
    storage: redisCache, // Optional Redis or Memcached integration
    
    // Selective caching
    shouldCache: (query) => {
      // Custom caching logic
      return query.table !== 'sensitive_logs' && 
             query.method === 'select';
    }
  }
});

Security Hardening

JWT Authentication

const client = createClient('http://localhost:3000', {
  auth: {
    // Advanced JWT configuration
    tokenValidation: {
      // Strict token validation
      requireExpiration: true,
      maxTokenAge: 3600, // 1 hour
      
      // Custom validation function
      validate: (token) => {
        // Implement custom token validation
        return validateJWTClaims(token);
      }
    },
    
    // Automatic token refresh
    refreshToken: {
      enabled: true,
      beforeExpiry: 300 // Refresh 5 minutes before expiration
    }
  }
});

Rate Limiting

const client = createClient('http://localhost:3000', {
  rateLimit: {
    // Global rate limiting
    enabled: true,
    maxRequests: 100,
    windowMs: 60000, // 1 minute
    
    // Per-endpoint rate limiting
    endpoints: {
      '/users': {
        maxRequests: 50,
        windowMs: 60000
      },
      '/sensitive-data': {
        maxRequests: 10,
        windowMs: 60000
      }
    },
    
    // Custom rate limit handler
    onLimitReached: (req, res, next) => {
      // Log rate limit violations
      logRateLimitViolation(req);
      res.status(429).json({ 
        error: 'Too many requests' 
      });
    }
  }
});

Logging and Monitoring

const client = createClient('http://localhost:3000', {
  logging: {
    // Comprehensive logging
    level: 'error',
    format: 'json',
    
    // External logging integration
    transport: {
      // Send logs to external service
      type: 'external',
      url: 'https://logging-service.com/logs',
      apiKey: process.env.LOGGING_API_KEY
    },
    
    // Performance tracking
    performance: {
      enabled: true,
      threshold: 500 // Log queries taking over 500ms
    }
  },
  
  // Monitoring configuration
  monitoring: {
    enabled: true,
    reportUrl: 'https://monitoring-service.com/metrics',
    
    // Track key performance indicators
    trackMetrics: [
      'query_time',
      'cache_hit_rate',
      'error_rate'
    ]
  }
});

Error Handling and Resilience

const client = createClient('http://localhost:3000', {
  errorHandling: {
    // Global error handling
    fallbackStrategy: 'retry', // 'retry' | 'default' | 'custom'
    
    // Retry configuration
    retry: {
      maxAttempts: 3,
      delay: (attempt) => Math.pow(2, attempt) * 1000,
      
      // Retry only on specific error types
      retryOn: [
        'NetworkError',
        'TimeoutError',
        'ConnectionError'
      ]
    },
    
    // Custom error handler
    onError: (error, context) => {
      // Advanced error logging and reporting
      reportErrorToMonitoringService(error, context);
      
      // Potential error recovery
      if (error.type === 'AuthenticationError') {
        attemptTokenRefresh();
      }
    }
  }
});

Deployment Strategies

Docker Deployment

const client = createClient({
  // Docker-optimized configuration
  url: process.env.POSTGREST_URL,
  
  docker: {
    // Automatic Docker detection
    enabled: true,
    
    // Container-specific settings
    healthCheck: {
      interval: 30000, // 30 seconds
      timeout: 5000,   // 5 seconds timeout
      retries: 3
    },
    
    // Service discovery
    serviceDiscovery: {
      enabled: true,
      strategy: 'dns' // 'dns' | 'env' | 'custom'
    }
  }
});

Kubernetes Deployment

const client = createClient({
  // Kubernetes-aware configuration
  url: process.env.POSTGREST_SERVICE_HOST,
  
  kubernetes: {
    enabled: true,
    
    // Cluster-specific configuration
    namespace: process.env.KUBERNETES_NAMESPACE,
    podName: process.env.HOSTNAME,
    
    // Horizontal Pod Autoscaler integration
    autoscaling: {
      enabled: true,
      minReplicas: 2,
      maxReplicas: 10,
      targetCPUUtilization: 70
    }
  }
});

Performance Profiling

const client = createClient('http://localhost:3000', {
  performance: {
    // Detailed performance profiling
    enabled: true,
    
    // Profiling configuration
    profile: {
      // Track slow queries
      slowQueryThreshold: 500, // ms
      
      // Detailed query analysis
      trackQueries: true,
      
      // Export performance data
      exportTo: {
        type: 'prometheus',
        url: 'http://monitoring.example.com/metrics'
      }
    }
  }
});

Best Practices

• Use environment-specific configurations
• Implement robust error handling
• Configure comprehensive logging
• Set up monitoring and alerting
• Use connection pooling
• Implement intelligent caching
• Secure authentication mechanisms
• Configure rate limiting
• Use Docker and Kubernetes for scalability
• Regularly update and patch dependencies

Security Checklist

• Use HTTPS everywhere
• Implement strong JWT validation
• Configure strict CORS policies
• Use environment variable management
• Implement rate limiting
• Log and monitor security events
• Regularly rotate secrets
• Use least-privilege access
• Keep dependencies updated
• Implement proper error handling

Scaling Considerations

• Use horizontal scaling
• Implement load balancing
• Configure connection pooling
• Use caching strategically
• Monitor performance metrics
• Design for stateless architecture
• Use microservices architecture
• Implement circuit breakers
• Optimize database queries

Troubleshooting

• Enable detailed logging
• Use performance profiling
• Monitor system resources
• Check network configurations
• Validate environment settings
• Review authentication mechanisms
• Test error handling scenarios
• Perform load testing
• Use monitoring dashboards