name: monitoring-analytics description: Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.

Monitoring & Analytics Skill

Monitor and analyze your Proxmox infrastructure health and performance.

What this skill does

This skill enables you to:

• Get node statistics and performance metrics
• Monitor CPU, memory, and disk utilization
• Track network performance
• Analyze VM/container performance
• Monitor resource allocation efficiency
• Identify performance bottlenecks
• Generate performance reports
• Track usage trends over time
• Plan capacity based on metrics
• Establish baselines and thresholds

When to use this skill

Use this skill when you need to:

• Check cluster health and performance
• Monitor node resource usage
• Analyze VM/container performance
• Identify performance bottlenecks
• Troubleshoot performance issues
• Plan capacity expansion
• Generate performance reports
• Establish monitoring baselines
• Forecast resource needs
• Optimize resource allocation

Available Tools

• get_node_status - Get node statistics and performance
• get_vm_status - Get VM performance metrics
• get_container_status - Get container performance metrics
• get_cluster_resources - Get overall cluster metrics

Typical Workflows

Infrastructure Health Check

1. Use get_cluster_resources for overall health
2. Use get_node_status for each node
3. Use get_vm_status and get_container_status for workload analysis
4. Generate comprehensive health report

Performance Analysis

1. Use get_node_status to analyze node performance
2. Use get_vm_status to check VM performance
3. Identify high-utilization resources
4. Analyze performance trends
5. Recommend optimizations

Capacity Planning

1. Use get_cluster_resources for current utilization
2. Use get_node_status for detailed metrics
3. Analyze growth trends
4. Project future capacity needs
5. Plan scaling or upgrades

Bottleneck Identification

1. Use get_node_status to find high CPU/memory nodes
2. Use get_vm_status for resource-hungry VMs
3. Use get_storage for disk bottlenecks
4. Analyze performance impact
5. Recommend solutions

Example Questions

• "What's the current cluster health and performance?"
• "Which nodes are running at high utilization?"
• "Show me the performance metrics for all VMs"
• "Are there any performance bottlenecks?"
• "Get a complete performance analysis report"
• "Which containers are consuming the most resources?"
• "What are the resource trends over time?"

Response Format

When using this skill, I provide:

• Node statistics with CPU, memory, disk metrics
• VM/container performance data
• Utilization trends and analysis
• Bottleneck identification
• Capacity planning recommendations
• Optimization suggestions

Best Practices

• Monitor metrics continuously
• Establish performance baselines
• Set appropriate alert thresholds
• Track metrics over time for trends
• Identify and optimize peak usage periods
• Balance load across nodes
• Monitor both physical and virtual resources
• Analyze before and after optimization
• Keep historical data for trend analysis
• Use metrics to justify capacity investments
• Monitor network performance
• Consider both current and future growth