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

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

## 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

{
  "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