feat: stage 2 — hard-monitor agent with install.sh and systemd unit ...

- hard_monitor.py: stateless collector (psutil + requests) — identity
  (hostname/os/kernel/ips with virtual interfaces filtered), cpu/load,
  memory, disks, net counters, top processes by cpu, docker containers,
  temps into extra; --once and --dry-run modes, .env parser
- install.sh: root install into /opt/hard-monitor (venv, .env 600,
  systemd unit enable --now, idempotent)
- tested end-to-end: real agent -> panel ingest -> dashboard summary
  with net rates computed from counter deltas

Co-Authored-By: Claude Code <noreply@anthropic.com>

feat: stage 1 — panel skeleton (FastAPI + SQLite) and ingest API ...

- FastAPI backend: config (pydantic-settings, GHARD_* env), aiosqlite + WAL
- SQLite schema: servers, metrics, events
- POST /api/v1/ingest: auth by X-Server-Key (sha256 hash), net rates in MB/s
  computed on panel from raw counter deltas, server card upsert
- Servers API: create (key shown once), list with dashboard summary,
  detail, PATCH name/note, delete, metrics history
- Dockerfile + docker-compose with persistent volume

Co-Authored-By: Claude Code <noreply@anthropic.com>