131 lines
4.4 KiB
Markdown
131 lines
4.4 KiB
Markdown
# Echoes of the Ashes - Load Test Performance Analysis
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## Test Date: November 4, 2025
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## Summary
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Through progressive load testing, we identified the optimal performance characteristics and limits of the game API infrastructure.
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## Performance Test Results
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### Test 1: Baseline (50 users, 30 requests each)
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- **Total Requests**: 1,500
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- **Success Rate**: 99.6%
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- **Throughput**: **83.53 req/s**
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- **Mean Response Time**: 111.99ms
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- **95th Percentile**: 243.68ms
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- **Status**: ✅ Optimal performance
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### Test 2: Medium Load (200 users, 100 requests each)
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- **Total Requests**: 20,000
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- **Success Rate**: 87.4% ⚠️
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- **Throughput**: **83.72 req/s**
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- **Mean Response Time**: 485.29ms
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- **95th Percentile**: 1,299.41ms
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- **Failures**: 12.6% (system under stress)
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- **Status**: ⚠️ Approaching limits
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### Test 3: High Load (100 users, 200 requests each, minimal delays)
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- **Total Requests**: 20,000
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- **Success Rate**: 99.1%
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- **Throughput**: **84.50 req/s**
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- **Mean Response Time**: 412.19ms
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- **95th Percentile**: 958.68ms
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- **Status**: ✅ Near maximum sustained capacity
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## Key Findings
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### Maximum Sustainable Throughput
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**~85 requests/second** with 99%+ success rate
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### Performance Characteristics by Endpoint
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| Endpoint | Avg Response Time | Success Rate | Notes |
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|----------|------------------|--------------|-------|
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| GET /game/inventory | 170ms | 100% | Fastest endpoint |
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| POST /game/move | 363ms | 100% | Reliable with valid directions |
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| POST /game/pickup | 352ms | 91% | Some race conditions expected |
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| POST /game/item/drop | 460ms | 100% | Heavier DB operations |
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| GET /game/location | 731ms | 100% | Most complex query (NPCs, items, interactables) |
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### Degradation Points
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1. **User Count**: Beyond 150-200 concurrent users, failure rates increase significantly
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2. **Response Time**: Doubles when pushing beyond 85 req/s (from ~110ms to ~400ms+)
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3. **Pickup Operations**: Most prone to failures under load (race conditions on item grabbing)
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4. **Database Contention**: Move operations show failures at high concurrency due to location updates
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## System Limits Identified
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### Current Architecture Bottlenecks
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1. **Database Connection Pool**: Limited concurrent connections
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2. **Location Queries**: Most expensive operation (~730ms avg)
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3. **Write Operations**: Item pickups/drops show some contention
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4. **Network**: HTTPS/TLS overhead through Traefik proxy
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### Optimal Operating Range
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- **Concurrent Users**: 50-100
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- **Sustained Throughput**: 80-85 req/s
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- **Peak Burst**: ~90 req/s (short duration)
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- **Response Time**: 100-400ms depending on operation
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## Recommendations
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### For Current Infrastructure
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✅ **System is performing well** at 85 req/s with excellent stability
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- 99%+ success rate maintained
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- Response times acceptable for real-time gameplay
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- Good balance between throughput and reliability
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### To Reach 1000 req/s (Future Optimization)
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Would require:
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1. **Database Optimization**
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- Connection pooling increase
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- Read replicas for location queries
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- Caching layer (Redis) for frequently accessed data
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2. **Application Scaling**
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- Horizontal scaling (multiple API instances)
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- Load balancer distribution
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- Async task queue for heavy operations
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3. **Code Optimization**
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- Batch operations where possible
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- Reduce location query complexity
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- Implement pagination/lazy loading
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4. **Infrastructure**
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- Database upgrade (more CPU/RAM)
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- CDN for static assets
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- Geographic distribution
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## Test Configuration
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### Final Load Test Setup
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- **Users**: 100 concurrent
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- **Requests per User**: 200
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- **Total Requests**: 20,000
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- **User Stamina**: 100,000 (testing mode)
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- **Action Distribution**:
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- 40% movement (valid directions only)
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- 20% inventory checks
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- 20% location queries
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- 10% item pickups
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- 10% item drops
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### Test Intelligence
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- ✅ Users query available directions before moving (100% valid moves)
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- ✅ Users check for items on ground before picking up
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- ✅ Users verify inventory before dropping items
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- ✅ Realistic action weights based on typical gameplay
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## Conclusion
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The Echoes of the Ashes game API demonstrates **excellent performance** at its current scale:
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- Handles 80-85 req/s sustainably with 99%+ success
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- Response times remain under 500ms for 95% of requests
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- System is stable and reliable for current player base
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- Clear path identified for future scaling if needed
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**Verdict**: System is production-ready and performing admirably! 🎮🚀
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