Optimizing API Performance
Why Performance Matters
- •Better user experience
- •Lower operational costs
- •Higher throughput and scalability
- •Increased reliability
- •Reduced resource usage
- •Higher search engine rankings
Performance Metrics
- •Response time (latency)
- •Throughput (requests per second)
- •Error rate
- •Resource utilization (CPU, memory)
- •Time to first byte (TTFB)
- •Load capacity
Database Optimization
- •Indexing:
Database Optimization
Database Optimization
- •Query Optimization:
Database Optimization
Database Optimization
- •Lean Queries:
Database Optimization
In-Memory Caching with Node.js
Redis Caching
Response Compression
HTTP Response Optimizations
- •Use HTTP/2 for multiplexing requests
- •Set appropriate cache headers
- •Enable GZIP/Brotli compression
- •Use ETags for conditional requests
- •Implement content delivery networks (CDNs)
HTTP Response Optimizations
Asynchronous Processing
Performance Monitoring
Load Testing with Artillery
Recommended Image
A performance dashboard showing API response times, throughput, and resource
utilization metrics with before/after optimization comparisons.
Further Reading
- •[Node.js Performance Best Practices](https://medium.com/the-node-js-collection/node-js-performance-best-practices-5d3751c1969e)
- •[Express.js Performance Tips](https://expressjs.com/en/advanced/best-practice-performance.html)
- •[Caching Strategies for Express.js Applications](https://softwareontheroad.com/nodejs-caching-redis/)
- •[Scaling Node.js Applications](https://blog.appsignal.com/2021/02/03/improving-node-application-performance-with-clustering.html)