eBPF-based Network Observability for CloudStack

# Proposal: eBPF-based Network Observability for CloudStack

## Summary

CloudStack’s network monitoring is mostly based on logs and external agents, making real-time traffic analysis difficult. This project will integrate **eBPF-based network observability** to capture per-VM traffic metrics, detect anomalies, and improve tenant isolation.

## Benefits to CloudStack
- **Enhanced security**: Detect suspicious activity at the kernel level.
- **Real-time traffic monitoring**: Gain deep insights into VM networking.
- **Better tenant isolation**: Identify cross-tenant traffic issues.

## Deliverables
- Develop eBPF probes to capture:
- Per-VM network traffic metrics (packets, bytes, latency)
- Connection tracking for detecting unauthorized access patterns
- Packet drops and retransmission rates
- Expose network metrics via CloudStack’s API.
- Provide visualization through Prometheus/Grafana.
- Document setup, usage, and performance benchmarks.

## Expected Outcome
An eBPF-based solution that improves network observability in CloudStack, providing security and performance insights with minimal resource usage.

La issue non indica file, test o punti di ingresso. Inizia mappando i percorsi esistenti di monitoraggio della rete e delle metriche API di CloudStack, quindi valuta come si integrerebbero le sonde eBPF e l’output Prometheus/Grafana. Il lavoro sarà considerato completato quando saranno fornite le sonde proposte, l’esposizione tramite API, la visualizzazione, la documentazione e i benchmark delle prestazioni.

Scritto dal modello di indicizzazione a partire dal testo della issue.