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.

The issue names no files, tests, or entry points. Start by mapping CloudStack’s existing network monitoring and API metric paths, then assess how eBPF probes and Prometheus/Grafana output would fit. Done means delivering the proposed probes, API exposure, visualization, documentation, and performance benchmarks.

Written by the indexing model from the issue text.