Server Health Dashboard

Know exactly what's happening on your servers. Get alerts before users do.

What You'll Build

A monitoring dashboard that tracks:

• CPU, memory, disk, and network usage
• Process-level resource consumption
• Historical trends and anomaly detection
• Instant Telegram alerts for issues

Requirements

• Plugins: Web Search (for API calls)
• Time: 15 minutes
• Server Access: SSH or monitoring agent installed

Setup

1. Add Servers to Monitor

Monitor these servers: - prod-web-1 (192.168.1.10) - prod-api-1 (192.168.1.11) - prod-db-1 (192.168.1.12) Check every 1 minute.

2. Configure Alert Thresholds

Alert on Telegram if: - CPU >80% for 5 minutes - Memory >90% for 3 minutes - Disk >85% on any partition - Network errors detected - Any server unreachable

3. Set Up Historical Tracking

Store metrics for: - Last 24 hours (1-minute intervals) - Last 7 days (5-minute intervals) - Last 30 days (hourly averages) Generate weekly performance reports.

4. Process Monitoring

Track top processes by: - CPU usage - Memory usage - Open file descriptors - Network connections Alert if any process uses >50% CPU unexpectedly.

Sample Alert

High CPU:

🚨 SERVER ALERT Server: prod-api-1 Issue: High CPU usage Current: 87% (5-minute avg) Normal: 35-50% 🔝 Top Processes: 1. node (PID 1234): 52% CPU 2. postgres (PID 5678): 18% CPU 3. nginx (PID 9012): 9% CPU 💡 Possible causes: - Traffic spike (check logs) - Inefficient query - Background job running [View detailed metrics →]

Recovery:

✅ ALERT RESOLVED Server: prod-api-1 CPU: 87% → 42% Duration: 12 minutes Root cause analysis: - Traffic spike from API endpoint /search - Query optimization deployed - CPU back to normal [View incident timeline →]

Sample Weekly Report

📊 Server Health Report — Feb 5-11 🖥️ prod-web-1 Uptime: 99.98% Avg CPU: 38% Avg Memory: 62% Disk: 45% used Incidents: 0 🖥️ prod-api-1 Uptime: 99.85% Avg CPU: 52% Avg Memory: 71% Disk: 58% used Incidents: 2 (both auto-resolved) 🖥️ prod-db-1 Uptime: 100% Avg CPU: 28% Avg Memory: 78% Disk: 67% used Incidents: 0 🎯 Recommendations: - prod-api-1: Consider scaling to 2 instances (CPU trending up) - prod-db-1: Memory usage stable but near threshold — monitor - All servers: Disk usage healthy Next review: Feb 18, 2024

Pro Tips

1. Predictive Alerts: Use ML to detect anomalies before thresholds are hit
2. Log Correlation: When CPU spikes, auto-pull relevant application logs
3. Auto-Scaling: Trigger cloud provider API to scale up during high load
4. Cost Tracking: Monitor cloud costs alongside performance metrics

---

Monitor your infrastructure → Launch Claws