Monitoring System Architecture

Comprehensive real-time monitoring, analytics, and alerting for multi-agent orchestration.

Monitoring Coverage

100%
Agent Coverage
5ms
Update Latency
30 days
Data Retention
15+
Metric Types

🛠️ Core Components

Integrated monitoring stack provides complete visibility into the multi-agent system.

Real-time Dashboard

Live visualization of all agent activities and metrics

Key Features:

  • Agent status tracking
  • Task progress bars
  • Token usage graphs
  • Error monitoring
WebSocket + React

Performance Analytics

Deep insights into system performance and optimization

Key Features:

  • Completion time analysis
  • Resource utilization
  • Cost tracking
  • Quality metrics
Time-series database

Alert System

Proactive notifications for issues and thresholds

Key Features:

  • Error alerts
  • Performance warnings
  • Threshold notifications
  • SLA monitoring
Event-driven architecture

Data Collection

Comprehensive telemetry and logging infrastructure

Key Features:

  • Event logging
  • Metric collection
  • Trace aggregation
  • Context capture
Structured logging

📊 Metrics Collection

Comprehensive metrics provide insights into every aspect of system operation.

Agent Metrics

Real-time
  • Status (active/idle/error)
  • Task assignments
  • Completion rates
  • Response times

Performance Metrics

5 seconds
  • Token usage per task
  • API response times
  • Queue depths
  • Throughput rates

Quality Metrics

Per completion
  • Code quality scores
  • Test coverage
  • Error rates
  • Validation passes

System Metrics

30 seconds
  • CPU usage
  • Memory consumption
  • Network latency
  • Disk I/O

📺 Dashboard Panels

Interactive dashboard panels provide real-time visibility and control.

Agent Overview

Grid view of all agents with status indicators

High

Task Timeline

Gantt chart of task execution and dependencies

Medium

Token Analytics

Real-time token usage and optimization metrics

High

Error Console

Live error stream with stack traces and context

Critical

Performance Graphs

Time-series charts for key performance indicators

Medium

Cost Dashboard

Running cost calculations and projections

Low

🔌 Real-time Integration

WebSocket Architecture

typescript
class MonitoringWebSocket {
  private ws: WebSocket;
  private metrics: MetricsCollector;
  
  connect(): void {
    this.ws = new WebSocket('ws://localhost:3001');
    
    this.ws.on('connect', () => {
      this.subscribeToMetrics();
    });
    
    this.ws.on('agent:update', (data) => {
      this.updateDashboard({
        agentId: data.id,
        status: data.status,
        task: data.currentTask,
        metrics: data.metrics
      });
    });
  }
  
  broadcast(event: MonitoringEvent): void {
    this.ws.emit('metric', {
      timestamp: Date.now(),
      type: event.type,
      data: event.data,
      severity: event.severity
    });
  }
}

Advanced Monitoring Features

Predictive Analytics

  • • Anomaly detection using ML models
  • • Performance degradation predictions
  • • Capacity planning recommendations
  • • Cost optimization suggestions

Intelligent Alerting

  • • Smart alert grouping and deduplication
  • • Contextual alert enrichment
  • • Escalation policies and routing
  • • Self-healing automation triggers