Instance Monitoring
vCloud Monitoring provides real-time performance charts for virtual machines, tracking CPU, RAM, disk IOPS, and network traffic to help optimize resource usage and detect issues early.
Access Monitoring
- Log into vCloud system
- Navigate to instance details page
- Select Monitoring tab
Performance Metrics
Monitoring displays real-time charts for four key metrics:
Figure needed: Overview of monitoring dashboard showing CPU, RAM, disk IOPS, and network utilization charts Figure needed: Detailed CPU usage chart with percentage over time Figure needed: Memory usage chart showing consumption in MB
CPU Usage
Metric: CPU usage percentage (%) Purpose: Shows CPU utilization against allocated resources
Key Indicators:
- High peaks indicate heavy load periods
- Sustained >80% usage suggests need for upgrade
- Brief spikes are normal; prolonged high usage indicates issues
Memory Usage
Metric: Physical memory consumption (MB) Purpose: Tracks RAM usage by virtual machine
Key Indicators:
- Stable usage indicates normal operation
- Continuous increase without decrease suggests memory leaks
- Near-limit usage requires upgrade to prevent swap/paging
Disk IOPS
Metrics:
- Disk Read IOPS: Read operations per second
- Disk Write IOPS: Write operations per second
Key Indicators:
- High IOPS indicates intensive disk activity (backups, databases)
- Sustained high IOPS may require High IOPS disk upgrade
- Periodic spikes typically relate to automated processes
Network Utilization
Metrics:
- Receive rates (download) – Kbps
- Transmit rates (upload) – Kbps
Key Indicators:
- Sudden high bandwidth may indicate file transfers, backups, or downloads
- Sustained high upload suggests web/API service traffic
- Unusual traffic patterns may indicate network attacks
Best Practices
Performance Optimization:
- Monitor trends over time, not just current values
- Set up alerts for sustained high usage (>80% CPU/RAM)
- Plan capacity upgrades before reaching resource limits
- Investigate sudden changes in patterns
Troubleshooting:
- Combine monitoring data with system logs for comprehensive analysis
- Check for correlations between different metrics
- Monitor during peak and off-peak hours
- Document baseline performance for comparison
Combine monitoring data with system logs for comprehensive performance analysis and issue root cause identification.