ai-agent/symphony-ai-agent/logs/Goal-3-Task-4/benchmarks.md

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# Performance Benchmarking Report - Goal 3 Task 4
## Benchmarking Methodology
### CLI Interface Testing
- **Tools**: Custom Python benchmarking script (`cli_benchmark.py`)
- **Metrics**:
- Response time (ms)
- Throughput (requests/second)
- Security overhead impact (RBAC, TLS 1.3)
- **Test Cases**:
- Single-threaded execution
- Concurrent execution (10 threads)
- **Target**: <500ms response time
### Web Interface Testing
- **Tools**: Custom Python benchmarking script (`web_benchmark.py`)
- **Metrics**:
- Response time (ms)
- Throughput (requests/second)
- Security overhead impact (RBAC, TLS 1.3)
- **Test Cases**:
- Single-threaded execution
- Concurrent execution (10 threads)
- **Target**: <500ms response time
## Security Requirements
```markdown
## Security Requirements (from symphony-core.md)
1. **Encryption**: All secrets must use AES-256 encryption
2. **Access Control**: RBAC required for privileged operations
3. **Audit Logging**:
- Logs retained for 90 days
- Integrity protection (HMAC-SHA256)
4. **Transport Security**:
- TLS 1.3 enforced
- Modern ciphers (AES256-GCM, CHACHA20)
- MCP client certificate pinning (SHA-256 fingerprints)
5. **Performance Targets**:
- API Response Time ≤ 800ms (with security overhead)
- Memory Footprint ≤ 512MB
## Performance Benchmarks (from test_performance.py)
### Event Processing
- **Throughput**: Minimum 100 events/sec (test_event_throughput)
- **Concurrency**: Supports 10 concurrent publishers (test_concurrent_publishers)
- **Latency**:
- Immediate events: <500ms response time
- Scheduled events: <1.5s for 100 events with 10ms delay (test_scheduled_events)
### Test Methodology
1. **Throughput Test**:
- Publishes 1000 events sequentially
- Measures total processing time
- Verifies 100 events/sec rate
2. **Concurrency Test**:
- 10 threads each publishing 100 events
- Verifies thread safety and consistent throughput
3. **Scheduled Events Test**:
- Schedules 100 events with 10ms delay
- Verifies all events processed within 1.5s
```
## Expected Results Format
```json
{
"command/endpoint": {
"single_thread": {
"baseline": {
"avg_time": 0.0,
"throughput": 0.0
},
"rbac": {
"avg_time": 0.0,
"throughput": 0.0
},
"tls": {
"avg_time": 0.0,
"throughput": 0.0
},
"full_security": {
"avg_time": 0.0,
"throughput": 0.0
}
},
"concurrent": {
"throughput": 0.0,
"total_time": 0.0
}
}
}
```
## Analysis Framework
1. **Performance Baseline**:
- Compare against <500ms target
- Identify bottlenecks
2. **Security Impact**:
- Measure RBAC overhead
- Measure TLS 1.3 overhead
- Compare combined security impact
3. **Concurrency Scaling**:
- Evaluate throughput under load
- Identify contention points
4. **Recommendations**:
- Optimization opportunities
- Configuration adjustments
- Architectural improvements
## Execution Plan
1. Run CLI benchmarks
2. Run Web benchmarks
3. Generate performance_logs.json
4. Analyze results
5. Document findings
6. Submit for review