# Performance & Security
Performance characteristics and security features of the Diagram Bridge MCP Server.
## Performance
### Format Selection & Instructions
- **Response time target**: <100ms for format analysis
- **Memory efficient**: Optimized algorithms for format selection
- **Pipeline optimization**: Streamlined template rendering process
### Diagram Rendering
- **Response time target**: <2 seconds for diagram rendering
- **Encoding optimization**: Efficient Base64 encoding/decoding
- **Retry logic**: Exponential backoff for transient failures
- **Memory optimization**: Designed for container deployment scenarios
### Infrastructure Performance
- **Health monitoring**: Built-in health checks and performance metrics
- **Error handling**: Comprehensive error classification and safe handling
- **Resource optimization**: Efficient resource usage patterns
- **Concurrent processing**: Async request handling for multiple simultaneous requests
### Performance Metrics
Key metrics available via MCP resources:
- **Selection metrics**: Average response time, request count
- **Instructions metrics**: Template generation time
- **Rendering metrics**: Kroki response times, error rates
- **System metrics**: Memory usage, concurrent request handling
## Security
### Input Validation & Sanitization
- **Parameter validation**: Comprehensive validation using Zod schemas
- **Length limits**: Maximum code length: 100,000 characters
- **Format whitelist**: Strict validation against supported diagram formats
- **Content sanitization**: Input sanitization to prevent injection attacks
### Malicious Content Detection
- **Code analysis**: Static analysis of diagram code for suspicious patterns
- **Format validation**: Ensure code matches expected format syntax
- **Resource limits**: Prevent resource exhaustion attacks
- **Safe error handling**: No system information leakage in error messages
### File System Security
- **Controlled storage**: Files saved only to designated storage directory
- **Path validation**: Prevent directory traversal attacks
- **Safe file naming**: Generated filenames prevent conflicts and injection
- **Access control**: Restricted access to generated diagram files
### Network Security
- **Kroki integration**: Secure communication with Kroki services
- **Request validation**: All external requests validated and sanitized
- **Timeout protection**: Request timeouts prevent hanging connections
- **Error boundaries**: Isolated error handling prevents cascading failures
### Container Security
- **Minimal attack surface**: Docker images built with minimal dependencies
- **Non-root execution**: Containers run with non-privileged users where possible
- **Resource limits**: Container resource limits prevent resource exhaustion
- **Network isolation**: Proper network segmentation in Docker Compose setups
### Security Best Practices
**Input Handling:**
- Never execute user-provided code directly
- Validate all inputs against strict schemas
- Sanitize data before processing or storage
- Use parameterized queries for any database operations
**Error Handling:**
- Provide meaningful but safe error messages
- Log security-relevant events for monitoring
- Prevent information disclosure through error messages
- Implement rate limiting for error-prone operations
**File Operations:**
- Use absolute paths to prevent directory traversal
- Validate file extensions and MIME types
- Implement secure file cleanup policies
- Monitor disk space usage
## Monitoring & Observability
### Health Checks
**Endpoint Health Monitoring:**
- Format selection service health
- Instruction generation service health
- Diagram rendering service health
- Kroki connectivity status
**Health Check Response Format:**
```json
{
"status": "healthy|degraded|unhealthy",
"timestamp": "2024-01-01T12:00:00Z",
"components": {
"format_selection": "healthy",
"instructions": "healthy",
"rendering": "healthy",
"kroki_connectivity": "healthy"
},
"details": {
"uptime": "24h 15m 30s",
"requests_processed": 1543
}
}
```
### Performance Monitoring
**Key Performance Indicators:**
- Average response time per operation type
- Request throughput (requests per second)
- Error rates by error type
- Memory and CPU usage
**Metrics Collection:**
- Real-time metrics via MCP resource endpoints
- Historical data tracking for trend analysis
- Alert thresholds for performance degradation
- Integration-ready metrics format
### Logging
**Log Levels:**
- `debug`: Detailed debugging information
- `info`: General operational information (default)
- `warn`: Warning conditions that should be monitored
- `error`: Error conditions requiring attention
**Security Logging:**
- Failed authentication attempts
- Input validation failures
- Suspicious request patterns
- File system access attempts
**Performance Logging:**
- Slow request identification
- Resource usage patterns
- External service response times
## Scalability Considerations
### Horizontal Scaling
- **Stateless design**: Server can be scaled horizontally without session affinity
- **Shared storage**: Generated files can be stored on shared volumes
- **Load balancing**: Compatible with standard load balancing strategies
- **Container orchestration**: Kubernetes and Docker Swarm ready
### Resource Management
- **Memory optimization**: Efficient memory usage patterns
- **CPU efficiency**: Non-blocking operations where possible
- **Disk management**: Automatic cleanup of old generated files
- **Network efficiency**: Connection pooling for external services
### Capacity Planning
**Typical Resource Usage:**
- **Memory**: 50-200MB base usage, 10-50MB per concurrent request
- **CPU**: Low CPU usage for format selection, higher for diagram rendering
- **Disk**: 1-10MB per generated diagram (auto-cleanup configured)
- **Network**: Dependent on Kroki service latency and diagram complexity
**Scaling Recommendations:**
- Scale based on Kroki service capacity and response times
- Implement request queuing for high-traffic scenarios
- Consider CDN for static diagram file serving
