Enhancing CloudStack Monitoring with eBPF

# Proposal: Enhancing CloudStack Monitoring with eBPF

## Summary
Apache CloudStack currently relies on traditional monitoring tools, which may lack deep visibility into kernel-level events and networking performance. This project aims to integrate **eBPF-based monitoring** into CloudStack to provide lightweight, real-time performance analysis and security auditing.

## Benefits to CloudStack
- **Improved observability**: Gain fine-grained insights into VM performance metrics.
- **Lower overhead**: eBPF runs in the kernel and avoids the performance penalties of user-space monitoring tools.
- **Enhanced security auditing**: Detect and log anomalies in system behavior.

## Deliverables
- Implement eBPF programs to track:
- VM CPU usage
- Memory consumption
- Disk I/O metrics
- Network traffic analysis
- Develop a CloudStack-compatible API or CLI for retrieving eBPF-generated insights.
- Provide visualization support using Prometheus/Grafana.
- Write documentation for setup and usage.

## Expected Outcome
A robust eBPF-based monitoring solution integrated into CloudStack, offering real-time performance insights with minimal overhead.

该提案没有指明文件、测试或入口点。首先梳理 CloudStack 现有的监控以及 API 或 CLI 接口，然后定义实现所述结果所需的 eBPF 指标、获取接口、Prometheus/Grafana 集成、安全审计和文档。

由索引模型根据 Issue 内容生成。