Move 17 library crates into crates/, CLI binary into bin/fxt, consolidate 10 test crates into testing/, split config crate from deployment config files. Root directory reduced from 38+ to ~17 directories. All Cargo.toml paths and build.rs proto refs updated. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
162 lines
3.2 KiB
Markdown
162 lines
3.2 KiB
Markdown
# Load Testing Cheat Sheet
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## Prerequisites Check
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```bash
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# Docker services running?
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docker ps | grep -E "(redis|postgres)" | wc -l # Should be 2+
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# API Gateway running?
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curl -f http://localhost:50050/health && echo "✅ Ready" || echo "❌ Not running"
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# Load tests built?
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ls -lah ../../target/release/load_test_runner && echo "✅ Built" || echo "❌ Not built"
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```
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## Quick Commands
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### Run Tests
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```bash
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# Normal Load (1K clients, 60s)
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cargo run -r --bin load_test_runner -- normal
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# Spike Load (0→10K clients)
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cargo run -r --bin load_test_runner -- spike
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# Stress Test (find breaking point)
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cargo run -r --bin load_test_runner -- stress
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# All tests
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cargo run -r --bin load_test_runner -- all
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```
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### View Results
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```bash
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firefox *.html # Open all reports
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```
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### Extract Metrics
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```bash
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# P99 Latency
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grep -oP 'P99 Latency.*?value">\K[^<]+' normal_load_report.html
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# Throughput
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grep -oP 'Requests/Second.*?value">\K[^<]+' normal_load_report.html
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# Error Rate
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grep -oP 'Error Rate.*?value">\K[^<]+' normal_load_report.html
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```
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## Performance Targets
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| Metric | Target | Pass/Fail |
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|--------|--------|-----------|
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| P99 Latency | <10μs | ✅ / ❌ |
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| Throughput | >100K req/s | ✅ / ❌ |
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| Error Rate | <0.1% | ✅ / ❌ |
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## Troubleshooting
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### Connection Refused
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```bash
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# Start API Gateway
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cargo run -r -p api_gateway
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```
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### High Latency
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```bash
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# Check CPU
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top -p $(pgrep api_gateway)
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# Check DB connections
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psql -h localhost -p 5433 -U postgres -c 'SELECT count(*) FROM pg_stat_activity;'
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```
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### High Errors
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```bash
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# Check logs
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docker logs foxhunt-api-gateway --tail 50
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# Check backend health
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curl http://localhost:50051/health # Trading
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curl http://localhost:50052/health # Backtesting
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curl http://localhost:50053/health # ML Training
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```
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## 5-Minute Validation
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```bash
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# 1. Start services
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docker-compose up -d redis postgres
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# 2. Start API Gateway
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cargo run -r -p api_gateway &
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# 3. Wait for startup
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sleep 5
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# 4. Run quick test
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cd services/api_gateway/load_tests
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cargo run -r --bin load_test_runner -- normal --num-clients 100 --duration-secs 30
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# 5. Check results
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firefox normal_load_report.html
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```
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## Expected Results
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### Good Performance ✅
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```
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Requests/Second: >100,000
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Error Rate: <0.1%
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P99 Latency: <10μs
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```
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### Needs Work ⚠️
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```
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Requests/Second: 1,000-10,000
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Error Rate: 0.5%-5%
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P99 Latency: 10-100ms
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```
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## Files Generated
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```
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normal_load_report.html # Main dashboard
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normal_load_report.rps.svg # RPS chart
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normal_load_report.latency.svg # Latency chart
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normal_load_report.errors.svg # Error chart
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```
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## Custom Parameters
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```bash
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# Custom normal load
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cargo run -r --bin load_test_runner -- normal \
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--num-clients 500 \
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--duration-secs 120
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# Custom spike load
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cargo run -r --bin load_test_runner -- spike \
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--target-clients 5000 \
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--ramp-up-secs 15
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# Custom stress test
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cargo run -r --bin load_test_runner -- stress \
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--initial-clients 200 \
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--increment 200 \
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--max-p99-latency-ms 100.0
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```
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## Monitoring Commands
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```bash
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# Real-time metrics
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watch -n 1 "curl -s http://localhost:50050/metrics | grep requests_total"
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# Docker stats
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watch -n 1 "docker stats --no-stream foxhunt-api-gateway"
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# System resources
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watch -n 1 "ps aux | grep api_gateway | grep -v grep"
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```
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