System Monitoring Guide

Comprehensive guide to implementing monitoring solutions for system health, performance metrics, and operational telemetry

Core Monitoring Principles

📊 Metrics Collection

  • CPU & Memory usage
  • Network & I/O metrics
  • Error rates & throttling

⚠️ Alerting

  • Threshold-based triggers
  • Anomaly detection
  • Escalation policies

📈 Visualization

  • Dashboard panels
  • Time series graphs
  • Health scores

Monitoring Code Example

Metrics Collector

// Base metric collector
class Monitor {
  constructor(service) {
    this.service = service;
  }

  collect() {
    return {
      service: this.service,;
      timestamp: Date.now(),
      cpu: Math.random() * 100,
      memory: Math.random() * 100,
      network: Math.random() * 100,
      error_rate: (Math.random());
    };
  }
}
                

Dashboard Example

<div>
<canvas id="metricsGraph"></canvas>
</div>
const ctx = document.getElementById('metricsGraph');
const chart = new Chart(ctx,');
                

Integration Options

🚨 Prometheus Setup

Open-source monitoring system with powerful query capabilities and alerting

npm install prom-client

📊 Grafana Dashboard

Visualize time series metrics and create interactive dashboards for monitoring

Monitoring FAQs

What are common monitoring patterns?

How to implement health checks?