Performance and Optimization

• •Better user experience
• •Reduced server costs
• •Higher scalability
• •Improved reliability
• •Competitive advantage
• •Better SEO (for web APIs)

• •Monitoring Tools: New Relic, Datadog, PM2
• •Load Testing: Artillery, JMeter, k6
• •Profiling: Node.js built-in profiler, Clinic.js
• •Benchmarking: Autocannon, wrk

• 1.Database operations: Missing indexes, inefficient queries
• 2.Memory leaks: Unclosed connections, accumulating cache
• 3.Synchronous code: Blocking the event loop
• 4.External API calls: High latency, timeouts
• 5.Resource-intensive operations: Image processing, complex calculations
• 6.Inefficient algorithms: O(n²) or worse time complexity

• •✅ Use asynchronous code
• •✅ Implement proper caching
• •✅ Create database indexes
• •✅ Optimize database queries
• •✅ Implement pagination
• •✅ Use compression
• •✅ Scale horizontally
• •✅ Monitor performance
• •✅ Load test your API
• •✅ Use connection pooling
• •✅ Implement circuit breakers for external services

A dashboard showing performance metrics before and after optimization, with

graphs displaying response times, throughput, and server resource utilization.

• •[Node.js Performance Best Practices](https://expressjs.com/en/advanced/best-practice-performance.html)
• •[MongoDB Performance Best Practices](https://www.mongodb.com/blog/post/performance-best-practices-mongodb-data-modeling-and-memory-sizing)
• •[Redis Caching Patterns](https://redis.com/redis-best-practices/caching-patterns/)
• •[Load Testing with Artillery](https://www.artillery.io/docs)