| name | monitoring-analytics |
| description | Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster. Use when this capability is needed. |
| metadata | {"author":"dataknifeai"} |
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 performanceget_vm_status - Get VM performance metricsget_container_status - Get container performance metricsget_cluster_resources - Get overall cluster metrics
Typical Workflows
Infrastructure Health Check
- Use
get_cluster_resources for overall health
- Use
get_node_status for each node
- Use
get_vm_status and get_container_status for workload analysis
- Generate comprehensive health report
Performance Analysis
- Use
get_node_status to analyze node performance
- Use
get_vm_status to check VM performance
- Identify high-utilization resources
- Analyze performance trends
- Recommend optimizations
Capacity Planning
- Use
get_cluster_resources for current utilization
- Use
get_node_status for detailed metrics
- Analyze growth trends
- Project future capacity needs
- Plan scaling or upgrades
Bottleneck Identification
- Use
get_node_status to find high CPU/memory nodes
- Use
get_vm_status for resource-hungry VMs
- Use
get_storage for disk bottlenecks
- Analyze performance impact
- 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
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