1.7 KiB
1.7 KiB
description: Execute performance testing and optimization analysis
argument-hint: [test-scenario] [load-level]
Performance Testing Command
Execute comprehensive performance testing and optimization analysis with detailed metrics.
Context
- Test scenario: $1 (load|stress|spike|endurance - default: load)
- Load level: $2 (light|medium|heavy|extreme - default: medium)
- Application endpoints: @src/routes
- Performance baseline: @performance-baseline.json
Performance Testing Strategy
1. Load Testing
- Simulate normal user traffic
- Measure response times and throughput
- Validate system stability
- Identify performance bottlenecks
2. Stress Testing
- Push system beyond normal capacity
- Identify breaking points
- Test system recovery
- Validate error handling
3. Performance Analysis
- Response time analysis
- Throughput measurement
- Resource utilization monitoring
- Database performance assessment
4. Optimization Recommendations
- Performance bottleneck identification
- Scalability improvement suggestions
- Resource optimization strategies
- Caching implementation guidance
Performance Metrics
- Response time (p50, p95, p99)
- Throughput (requests per second)
- Error rate and availability
- Resource utilization (CPU, memory, disk)
Expected Outcome
- Detailed performance test report
- Performance metrics and benchmarks
- Bottleneck identification and analysis
- Actionable optimization recommendations
Performance Thresholds
- Response time: < 200ms (p95)
- Throughput: > 1000 RPS
- Error rate: < 0.1%
- Availability: > 99.9%
Failure Analysis
If performance targets not met:
- Root cause analysis
- Performance optimization plan
- Infrastructure scaling recommendations
- Code optimization suggestions