Monitoring Guide¶

This guide covers monitoring and observability for AIDDDMAP deployments.

Overview¶

AIDDDMAP provides comprehensive monitoring capabilities across:

System health and performance
Application metrics
User activity
Security events
Resource utilization

Monitoring Stack¶

1. Core Metrics¶

metrics:
  # System Metrics
  - cpu_usage
  - memory_usage
  - disk_io
  - network_traffic

  # Application Metrics
  - request_count
  - response_time
  - error_rate
  - active_users

  # Custom Metrics
  - encryption_operations
  - agent_deployments
  - data_processing_time

2. Logging System¶

Log Levels¶

enum LogLevel {
  ERROR = "error", // System errors, crashes
  WARN = "warn", // Important warnings
  INFO = "info", // General information
  DEBUG = "debug", // Detailed debugging
  TRACE = "trace", // Very detailed tracing
}

Log Format¶

{
  "timestamp": "2024-01-15T12:00:00Z",
  "level": "info",
  "service": "api",
  "traceId": "abc123",
  "message": "Request processed",
  "metadata": {
    "userId": "user123",
    "action": "data_access",
    "duration": 150
  }
}

Monitoring Tools¶

1. Prometheus Setup¶

# prometheus.yml
global:
  scrape_interval: 15s
  evaluation_interval: 15s

scrape_configs:
  - job_name: "aidddmap"
    static_configs:
      - targets: ["localhost:3000"]
    metrics_path: "/metrics"

2. Grafana Dashboards¶

{
  "dashboard": {
    "id": null,
    "title": "AIDDDMAP Overview",
    "panels": [
      {
        "title": "System Health",
        "type": "gauge",
        "datasource": "Prometheus",
        "targets": [
          {
            "expr": "system_health_score"
          }
        ]
      },
      {
        "title": "API Response Times",
        "type": "graph",
        "datasource": "Prometheus",
        "targets": [
          {
            "expr": "http_request_duration_seconds"
          }
        ]
      }
    ]
  }
}

Alert Configuration¶

1. Alert Rules¶

groups:
  - name: aidddmap_alerts
    rules:
      - alert: HighErrorRate
        expr: error_rate > 0.05
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: High error rate detected

      - alert: SystemOverload
        expr: cpu_usage > 0.85
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: System under high load

2. Alert Channels¶

{
  "alerting": {
    "channels": [
      {
        "type": "email",
        "settings": {
          "addresses": ["ops@yourdomain.com"]
        }
      },
      {
        "type": "slack",
        "settings": {
          "webhook_url": "https://hooks.slack.com/..."
        }
      },
      {
        "type": "pagerduty",
        "settings": {
          "integration_key": "your_key"
        }
      }
    ]
  }
}

Health Checks¶

1. Service Health¶

// health.ts
interface HealthCheck {
  service: string;
  status: "healthy" | "degraded" | "unhealthy";
  lastCheck: Date;
  details?: Record<string, any>;
}

const checks: HealthCheck[] = [
  {
    service: "database",
    endpoint: "/health/db",
    interval: "30s",
  },
  {
    service: "redis",
    endpoint: "/health/cache",
    interval: "30s",
  },
  {
    service: "encryption",
    endpoint: "/health/encryption",
    interval: "1m",
  },
];

2. Custom Health Metrics¶

interface CustomHealth {
  agentCount: number;
  activeUsers: number;
  queueSize: number;
  processingRate: number;
}

Performance Monitoring¶

1. Resource Tracking¶

{
  "resources": {
    "cpu": {
      "warning": 75,
      "critical": 90,
      "period": "5m"
    },
    "memory": {
      "warning": 80,
      "critical": 95,
      "period": "5m"
    },
    "disk": {
      "warning": 85,
      "critical": 95,
      "period": "1h"
    }
  }
}

2. Performance Metrics¶

interface PerformanceMetrics {
  requestLatency: number;
  databaseQueryTime: number;
  cacheHitRate: number;
  encryptionTime: number;
  agentResponseTime: number;
}

Security Monitoring¶

1. Security Events¶

{
  "security": {
    "events": [
      "authentication_failure",
      "permission_denied",
      "encryption_failure",
      "suspicious_activity"
    ],
    "retention": "90d",
    "alerting": true
  }
}

2. Audit Logs¶

interface AuditEvent {
  timestamp: Date;
  userId: string;
  action: string;
  resource: string;
  status: "success" | "failure";
  details: Record<string, any>;
}

Best Practices¶

1. Log Management¶

Use structured logging
Implement log rotation
Set appropriate retention periods
Enable log shipping to central storage

2. Metric Collection¶

Choose relevant metrics
Set appropriate intervals
Use labels effectively
Implement aggregation

3. Alert Configuration¶

Define clear thresholds
Avoid alert fatigue
Implement escalation policies
Document response procedures

4. Performance Optimization¶

Monitor resource usage
Track response times
Identify bottlenecks
Implement caching

Troubleshooting¶

Common Issues¶

High Resource Usage
Check system metrics
Review active processes
Analyze resource allocation
Slow Response Times
Monitor request latency
Check database performance
Review caching effectiveness
Error Spikes
Analyze error logs
Check recent changes
Review dependencies

Next Steps¶

Set up monitoring tools
Configure alerts
Review security measures
Plan maintenance
Consider scaling

Support¶

Need help with monitoring?