1. Use Efficient Data Formats 📊

  • Prefer JSON over XML for faster parsing speed.
  • Compress data using GZIP or Brotli to reduce payload size.
  • Limit response size by filtering unnecessary fields.
API Optimization

2. Implement Caching Strategies 🧾

  • Use HTTP caching headers (e.g., Cache-Control, ETag).
  • Leverage CDN for static assets and frequently accessed resources.
  • Cache database queries with Redis or Memcached.
    Read more about caching

3. Optimize Database Queries 🗄️

  • Add indexes to frequently queried columns.
  • Avoid N+1 query problems with eager loading.
  • Use pagination for large datasets.
Database Indexing

4. Code-Level Optimization 💻

  • Minimize synchronous operations with asynchronous processing.
  • Use efficient algorithms and avoid redundant computations.
  • Optimize API endpoints by reducing latency in code execution.

5. Monitor and Scale 📈

  • Track API performance with tools like Prometheus or New Relic.
  • Scale horizontally using load balancers for high traffic.
  • Set up auto-scaling based on request volume.

6. Security Best Practices 🔒

  • Enable rate limiting to prevent DDoS attacks.
  • Use HTTPS for secure data transmission.
  • Validate and sanitize inputs to avoid injection vulnerabilities.

Explore more optimization techniques

Performance Monitoring