- Rename project from system-monitor to Tyto (barn owl themed) - Update Go module name and all import paths - Update Docker container names (tyto-backend, tyto-frontend) - Update localStorage keys (tyto-settings, tyto-hosts) - Create barn owl SVG favicon and PWA icons (192, 512) - Update header with owl logo icon - Update manifest.json and app.html with Tyto branding Named after Tyto alba, the barn owl — nature's silent, watchful guardian 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
396 lines
11 KiB
Markdown
396 lines
11 KiB
Markdown
# Tyto
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<div align="center">
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**A real-time Linux system monitoring dashboard with a modern web interface**
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*Named after Tyto alba, the barn owl — nature's silent, watchful guardian*
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[Features](#features) • [Quick Start](#quick-start) • [Multi-Host Setup](#multi-host-monitoring) • [API](#api-reference) • [Development](#development)
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</div>
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---
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## Overview
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Tyto is a lightweight, containerized monitoring solution that provides real-time visibility into your Linux systems. Built with a Go backend for efficient metric collection and a SvelteKit frontend for a responsive, modern UI.
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### Key Highlights
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- **Real-time streaming** via Server-Sent Events (SSE)
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- **Zero dependencies** on the host system (runs in Docker)
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- **Multi-host support** for monitoring multiple machines from one dashboard
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- **Desktop notifications** for critical alerts
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- **Process management** with kill/pause/resume functionality
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- **Dark/Light themes** with responsive mobile design
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---
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## Features
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| Category | Features |
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|----------|----------|
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| **System** | Hostname, kernel version, uptime, architecture |
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| **CPU** | Per-core usage, frequency, load averages |
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| **Memory** | RAM usage, buffers, cache, swap |
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| **Disk** | Mount points, usage, I/O rates |
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| **Network** | Interface stats, bandwidth rates, TCP connections |
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| **Processes** | Top by CPU/Memory, detailed view, signal control |
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| **Temperature** | Hardware sensors via hwmon |
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| **GPU** | AMD GPU monitoring (utilization, VRAM, power, clocks) |
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| **Docker** | Container stats (CPU, memory, status) |
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| **Systemd** | Service status monitoring |
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| **Alerts** | Configurable thresholds with desktop notifications |
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| **History** | Sparkline charts for CPU, memory, network, disk I/O |
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| **Export** | CSV and JSON export of current metrics |
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---
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## Quick Start
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### Using Docker Compose (Recommended)
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```bash
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# Clone the repository
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git clone https://github.com/yourusername/tyto.git
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cd tyto
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# Start the containers
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docker compose up -d
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# Access the dashboard
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open http://localhost:9847
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```
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### Ports
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| Service | Port | Description |
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|---------|------|-------------|
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| Frontend | 9847 | Web dashboard |
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| Backend | 9848 | API server (internal) |
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---
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## Configuration
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### Environment Variables
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The backend container supports the following environment variables:
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| Variable | Default | Description |
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|----------|---------|-------------|
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| `PORT` | `8080` | Backend server port |
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| `PROC_PATH` | `/proc` | Path to proc filesystem |
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| `SYS_PATH` | `/sys` | Path to sys filesystem |
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| `MTAB_PATH` | `/etc/mtab` | Path to mount table |
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| `DOCKER_SOCKET` | `/var/run/docker.sock` | Docker socket path |
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| `DEFAULT_REFRESH_INTERVAL` | `5s` | Default metric collection interval |
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### Required Volume Mounts
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For the backend to collect host metrics, these mounts are required:
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```yaml
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volumes:
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- /proc:/host/proc:ro # Process information
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- /sys:/host/sys:ro # Hardware sensors, GPU info
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- /etc/mtab:/host/etc/mtab:ro # Disk mount information
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```
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### Optional Features
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<details>
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<summary><b>Docker Monitoring</b></summary>
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Mount the Docker socket to enable container monitoring:
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```yaml
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock:ro
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```
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</details>
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<details>
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<summary><b>Systemd Service Monitoring</b></summary>
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Mount the D-Bus socket to enable systemd service monitoring:
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```yaml
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volumes:
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- /run/dbus/system_bus_socket:/run/dbus/system_bus_socket:ro
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```
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</details>
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---
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## Multi-Host Monitoring
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System Monitor supports monitoring multiple hosts from a single dashboard. Each host runs its own backend container, and the frontend can switch between them.
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### Setting Up Remote Hosts
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1. **Deploy on each host** you want to monitor:
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```bash
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# On remote-host-1 (e.g., 192.168.1.100)
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docker compose up -d
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```
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2. **Configure CORS** (if accessing from a different origin):
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The backend allows cross-origin requests by default. Ensure ports are accessible.
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3. **Add hosts in the dashboard**:
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- Click the **host selector** dropdown in the header
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- Click **"Add Remote Host"**
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- Enter a name (e.g., "Web Server") and URL (e.g., `http://192.168.1.100:9847`)
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### Network Diagram
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```
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┌─────────────────────────────────────────────────────────────┐
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│ Your Browser │
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│ http://localhost:9847 │
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└──────────────────────────┬──────────────────────────────────┘
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│
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┌──────────────┼──────────────┐
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│ │ │
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▼ ▼ ▼
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┌────────────┐ ┌────────────┐ ┌────────────┐
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│ Host A │ │ Host B │ │ Host C │
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│ (local) │ │ :9847 │ │ :9847 │
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│ Frontend + │ │ Frontend + │ │ Frontend + │
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│ Backend │ │ Backend │ │ Backend │
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└────────────┘ └────────────┘ └────────────┘
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```
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### Host Configuration Storage
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Host configurations are stored in browser localStorage under the key `tyto-hosts`. The active host is stored in `tyto-active-host`.
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---
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## API Reference
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### Endpoints
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| Method | Endpoint | Description |
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|--------|----------|-------------|
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| `GET` | `/api/v1/stream` | SSE stream of real-time metrics |
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| `GET` | `/api/v1/history` | Historical metric data (1 hour) |
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| `GET` | `/api/v1/alerts` | Current alerts and configuration |
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| `POST` | `/api/v1/alerts/config` | Update alert thresholds |
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| `POST` | `/api/v1/alerts/:id/acknowledge` | Acknowledge an alert |
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| `GET` | `/api/v1/processes/:pid` | Detailed process information |
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| `POST` | `/api/v1/processes/:pid/signal` | Send signal to process |
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| `POST` | `/api/v1/settings/refresh` | Update refresh interval |
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| `GET` | `/api/v1/export/metrics?format=csv\|json` | Export current metrics |
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| `GET` | `/health` | Health check endpoint |
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### SSE Stream Format
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The `/api/v1/stream` endpoint sends JSON messages with this structure:
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```json
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{
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"timestamp": "2024-01-15T10:30:00Z",
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"system": { "hostname": "...", "kernel": "...", "uptime": 12345 },
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"cpu": { "cores": [...], "totalUsage": 15.5, "loadAverage": {...} },
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"memory": { "total": 16000000000, "used": 8000000000, ... },
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"disk": { "mounts": [...], "io": [...] },
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"network": { "interfaces": [...], "connectionCount": 42 },
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"processes": { "topByCpu": [...], "topByMemory": [...], "total": 200 },
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"temperature": { "sensors": [...] },
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"gpu": { "available": true, "utilization": 45, ... },
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"docker": { "available": true, "containers": [...] },
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"systemd": { "available": true, "services": [...] }
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}
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```
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### Process Signal API
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```bash
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# Send SIGTERM (graceful termination)
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curl -X POST http://localhost:9847/api/v1/processes/1234/signal \
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-H "Content-Type: application/json" \
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-d '{"signal": 15}'
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# Send SIGKILL (force kill)
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curl -X POST http://localhost:9847/api/v1/processes/1234/signal \
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-H "Content-Type: application/json" \
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-d '{"signal": 9}'
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```
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---
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## Development
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### Prerequisites
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- **Go 1.23+**
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- **Node.js 22+**
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- **Docker & Docker Compose** (for containerized development)
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### Local Development
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```bash
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# Backend (Go)
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cd backend
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go mod download
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go run ./cmd/server
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# Frontend (SvelteKit)
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cd frontend
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npm install
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npm run dev
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```
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### Running Tests
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```bash
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# Backend tests
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cd backend
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go test ./...
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# Frontend tests
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cd frontend
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npm test
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```
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### Project Structure
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```
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tyto/
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├── backend/
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│ ├── cmd/server/ # Main entry point
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│ ├── internal/
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│ │ ├── api/ # HTTP handlers and routes
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│ │ ├── alerts/ # Alert management
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│ │ ├── collectors/ # Metric collectors
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│ │ ├── config/ # Configuration
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│ │ ├── history/ # Historical data storage
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│ │ ├── models/ # Data structures
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│ │ └── sse/ # Server-Sent Events broker
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│ └── Dockerfile
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├── frontend/
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│ ├── src/
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│ │ ├── lib/
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│ │ │ ├── api/ # API clients
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│ │ │ ├── components/ # Svelte components
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│ │ │ ├── stores/ # Svelte stores
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│ │ │ ├── types/ # TypeScript types
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│ │ │ └── utils/ # Utility functions
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│ │ └── routes/ # SvelteKit routes
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│ └── Dockerfile
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└── docker-compose.yaml
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```
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### Building Docker Images
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```bash
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# Build both images
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docker compose build
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# Build specific service
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docker compose build backend
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docker compose build frontend
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```
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---
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## Keyboard Shortcuts
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| Key | Action |
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| `T` | Toggle dark/light theme |
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| `R` | Cycle refresh rate |
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| `?` | Show keyboard shortcuts |
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| `Esc` | Close modals/panels |
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---
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## Alerts & Notifications
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### Configuring Thresholds
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1. Open the **Alerts** card
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2. Click **"Configure Thresholds"**
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3. Set warning and critical percentages for each metric type
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4. Click **"Save Configuration"**
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### Desktop Notifications
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1. Enable the **"Desktop Notifications"** toggle in the Alerts card
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2. Allow browser notification permission when prompted
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3. Notifications will appear for new warning/critical alerts
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> **Note:** Critical alerts require manual dismissal; warnings auto-close after 10 seconds.
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---
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## Troubleshooting
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<details>
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<summary><b>No metrics displayed</b></summary>
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1. Check if backend is running: `docker compose ps`
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2. Verify volume mounts: `docker inspect sysmon-backend`
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3. Check backend logs: `docker compose logs backend`
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</details>
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<details>
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<summary><b>GPU not detected</b></summary>
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AMD GPU monitoring requires:
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- AMD GPU with amdgpu driver
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- `/sys/class/drm/card*/device/` accessible
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- Proper volume mount: `-v /sys:/host/sys:ro`
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</details>
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<details>
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<summary><b>Docker containers not showing</b></summary>
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Ensure Docker socket is mounted:
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```yaml
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock:ro
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```
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</details>
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<details>
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<summary><b>Systemd services not showing</b></summary>
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Mount D-Bus socket and ensure the container can access it:
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```yaml
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volumes:
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- /run/dbus/system_bus_socket:/run/dbus/system_bus_socket:ro
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```
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</details>
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---
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## License
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MIT License - see [LICENSE](LICENSE) for details.
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---
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<div align="center">
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**[Back to top](#tyto)**
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</div>
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