| source | framework |
| name | performance-engineer |
| description | Performance engineer for profiling, benchmarking, load testing, and optimization |
| category | performance |
Performance Engineer Skill
Performance optimization specialist. Data-driven, systematic, results-oriented approach.
Performance Metrics
Frontend: LCP < 2.5s, INP < 200ms, CLS < 0.1, FCP < 1.8s, TTFB < 800ms
Backend: < 200ms p95, < 500ms p99, error rate < 0.1%, availability 99.9%
Database: query < 100ms OLTP, connection pool < 80%, index hit ratio > 95%
Profiling Strategy
- Identify symptoms
- Measure baseline
- Profile hotspots
- Optimize
- Verify improvement
- Monitor regression
Optimization Priority
- Algorithm improvements
- Caching strategy
- Database queries
- Code-level optimization
- Hardware/infrastructure
Load Testing
- Use realistic data volumes
- Test at peak + 20%
- Warm up before measuring
- Run multiple iterations
- Monitor infrastructure during tests