How to Monitor Server Resources with BT Panel?
Real-time Resource Monitoring Implementation
BT Panel’s monitoring system utilizes WebSocket technology for real-time updates. Here’s how to implement custom monitoring using the BT Panel API:
// JavaScript implementation for real-time monitoring
const btMonitor = {
init: function() {
const ws = new WebSocket('ws://your-server:8888/monitor');
ws.onmessage = function(event) {
const data = JSON.parse(event.data);
this.updateMetrics(data);
};
},
updateMetrics: function(data) {
// CPU Usage
document.getElementById('cpu-usage').innerHTML = `${data.cpu}%`;
// Memory Usage
document.getElementById('mem-usage').innerHTML = `${data.mem}%`;
// Disk I/O
document.getElementById('disk-io').innerHTML =
`Read: ${data.disk.read}MB/s Write: ${data.disk.write}MB/s`;
}
};
Custom Monitoring Scripts Development
Beyond built-in features, BT Panel allows integration of custom monitoring scripts. Here’s a Python script for enhanced resource tracking:
#!/usr/bin/python3
import psutil
import json
import time
def get_system_metrics():
return {
'cpu_percent': psutil.cpu_percent(interval=1),
'memory': {
'total': psutil.virtual_memory().total,
'available': psutil.virtual_memory().available,
'percent': psutil.virtual_memory().percent
},
'disk_io': psutil.disk_io_counters(perdisk=True),
'network': psutil.net_io_counters()._asdict()
}
def monitor_continuous():
while True:
metrics = get_system_metrics()
with open('/www/server/panel/logs/custom_metrics.json', 'w') as f:
json.dump(metrics, f)
time.sleep(5)
if __name__ == "__main__":
monitor_continuous()
Load Balancing and Resource Distribution
For hosting environments running multiple services, implementing proper load balancing is crucial. BT Panel provides built-in tools for resource distribution:
# Configure Nginx load balancing
bt nginx set-upstream myapp {
server 192.168.1.10:8080 weight=3;
server 192.168.1.11:8080 weight=2;
server 192.168.1.12:8080 weight=1;
}
# Enable fair load distribution
bt nginx set-params {
worker_processes auto;
worker_connections 2048;
use epoll;
multi_accept on;
}
Database Performance Monitoring
Database performance significantly impacts overall server health. Implement these MySQL monitoring configurations:
# Enable MySQL slow query log
bt mysql set-param slow_query_log=1
bt mysql set-param long_query_time=2
# Monitor key database metrics
bt mysql monitor-status --extended
# Analyze query performance
bt mysql query-analyzer --start-time="2024-01-01" --end-time="2024-01-02"
Security Monitoring Integration
Combine resource monitoring with security tracking for comprehensive server management:
# Enable advanced security monitoring
bt security enable-monitor
# Configure security rules
bt firewall add-rules {
"port_protection": true,
"cc_defense": {
"enabled": true,
"threshold": 100
},
"waf": {
"enabled": true,
"level": "medium"
}
}
Automated Resource Management
Implement automation scripts for resource management. Here’s a shell script example:
#!/bin/bash
# Resource management automation
THRESHOLD_CPU=85
THRESHOLD_MEM=90
while true; do
CPU_USAGE=$(bt system get-cpu-usage)
MEM_USAGE=$(bt system get-mem-usage)
if [ $CPU_USAGE -gt $THRESHOLD_CPU ] || [ $MEM_USAGE -gt $THRESHOLD_MEM ]; then
bt system optimize-resources
bt notify-admin "Resource usage alert: CPU: $CPU_USAGE%, MEM: $MEM_USAGE%"
fi
sleep 300
done
Best Practices for Long-term Monitoring
Implement these strategies for sustainable resource monitoring:
- Regular metric data archival and analysis
- Trend analysis for capacity planning
- Integration with external monitoring tools
- Custom alert thresholds based on historical data
- Automated report generation and distribution
Conclusion
Effective server resource monitoring through BT Panel requires a combination of built-in tools, custom scripts, and proper configuration. By implementing these advanced monitoring techniques and maintaining vigilant oversight of server resources, hosting professionals can ensure optimal performance and reliability of their infrastructure.