Performance Monitoring & Optimization Suite
7.9/10Overall
7.9AI
No user ratings
Submitted Jul 22AI evaluated Jul 22
Prompt
Implement comprehensive performance monitoring and optimization workflows:
**Performance Analysis Workflow:**
- Use profiling tools to identify bottlenecks (Node.js profiler, Chrome DevTools)
- Analyze bundle sizes and loading performance
- Monitor memory usage and garbage collection patterns
- Track database query performance and optimization opportunities
**Automated Performance Testing:**
- Set up continuous performance benchmarking
- Implement performance regression detection
- Create load testing scenarios for different user patterns
- Monitor real-user performance metrics
**Optimization Implementation:**
- Optimize database queries and indexing strategies
- Implement caching layers (Redis, CDN, application cache)
- Optimize frontend bundle sizes and loading strategies
- Implement lazy loading and code splitting
**Monitoring & Alerting Setup:**
- Configure performance monitoring dashboards
- Set up alerting for performance degradation
- Implement distributed tracing for microservices
- Create performance SLA monitoring
**Performance Testing Automation:**
- Create automated performance test suites
- Implement A/B testing for performance optimizations
- Set up automated performance reports and recommendations
- Design capacity planning and scaling strategies
**Example Performance Operations:**
```bash
# Node.js profiling
node --prof app.js && node --prof-process isolate-*.log > profile.txt
# Bundle analysis
npx webpack-bundle-analyzer build/static/js/*.js
# Load testing
artillery run --target http://localhost:3000 load-test.yml
# Database performance analysis
EXPLAIN ANALYZE SELECT * FROM users WHERE email = 'test@example.com';
```
Provide specific optimization techniques with before/after performance comparisons.
AI Evaluation
How we evaluateClaude 3 Haiku
AI Evaluation
8.3/10
GPT-4 Mini
AI Evaluation
7.4/10
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