NanoStatus

Finally got a cursor subscription so wanted to build something cool. NanoStatus is a lightweight, single-container monitoring dashboard built with Go and React. Monitor your services' uptime, response times, and health in real-time with a beautiful, modern interface. I personally made this for my PiZero, UptimeKuma was a little too heavy so wanted to make something a little lighter.

Sample

✨ Features

• 🚀 Single Binary Deployment - Everything embedded in one Go binary
• 📊 Real-time Monitoring - Server-Sent Events (SSE) for instant updates
• 🎨 Modern UI - Sleek dark theme with glassmorphism effects and smooth animations
• 📈 Response Time Charts - Historical data with multiple time frames (1h, 12h, 1w, 1y)
• 🔍 Service Management - Add, edit, pause, and delete monitors
• 📱 Fully Responsive - Works beautifully on desktop, tablet, and mobile
• 💾 SQLite Database - Lightweight persistence with automatic cleanup
• ⚡ Efficient Updates - Only sends data when values actually change
• 🎯 Customizable Intervals - Set individual check intervals per service
• 🧹 Auto Cleanup - Automatically removes check history older than 1 year

🚀 Quick Start

Using Docker (Recommended)

1. Build the Docker image:

   docker build -t nanostatus .

2. Run the container:

   docker run -p 8080:8080 -v "$(pwd)/data:/data" nanostatus

   The application will be available at http://localhost:8080

   Note: The -v "$(pwd)/data:/data" flag persists the database across container restarts.

3. Access the dashboard: Open http://localhost:8080 in your browser

Local Development

Prerequisites

• Bun (for frontend)
• Go 1.24+ (for backend)

Running Locally

1. Build the frontend:

   cd src
   bun install
   bun run build.ts --outdir=../dist
   cd ..

2. Run the Go server:

   go run main.go

   Or build and run:

   go build -o nanostatus main.go
   ./nanostatus

3. Access the application: Open http://localhost:8080 in your browser

Using Makefile

make build        # Build both frontend and backend
make run          # Build and run the application
make dev-frontend # Run frontend dev server (with hot reload)
make dev-backend  # Run Go server (requires built frontend)
make clean        # Clean build artifacts

📖 How It Works

Architecture

• Backend: Go HTTP server with embedded frontend static files
• Frontend: React with TypeScript, Tailwind CSS, and Framer Motion
• Database: SQLite with GORM ORM
• Real-time Updates: Server-Sent Events (SSE) for efficient streaming
• Background Jobs:
  • Automatic service health checks based on individual intervals
  • Daily cleanup of check history older than 1 year (runs at midnight)

Monitoring

• Services are checked via actual HTTP requests
• Response times are measured and stored in the database
• Uptime is calculated from the last 24 hours of check history
• Stats are only calculated and broadcast when values change
• Updates are streamed to clients via SSE (no polling needed)

Data Management

• Check history is stored in SQLite for historical analysis
• Automatic cleanup runs daily at 12:00 AM to remove data older than 1 year
• Database uses WAL mode for better concurrency
• All data persists in /data volume when using Docker

🔌 API Endpoints

REST API

• GET /api/monitors - List all monitors
• POST /api/monitors/create - Create a new monitor
• GET /api/stats - Get overall statistics (only unpaused services)
• GET /api/response-time?id=<id>&range=<range> - Get response time history
  • range options: 1h, 12h, 24h, 1w, 1y (default: 24h)
• GET /api/monitor?id=<id> - Get specific monitor details
• PUT /api/monitor?id=<id> - Update a monitor or toggle pause state
• DELETE /api/monitor?id=<id> - Delete a monitor

Server-Sent Events (SSE)

• GET /api/events - Real-time event stream
  • Event types: monitor_update, monitor_added, monitor_deleted, stats_update
  • Automatically reconnects on connection loss
  • Keepalive messages every 30 seconds

⚙️ Configuration

Environment Variables

• PORT - Server port (default: 8080)
• DB_PATH - Database file path
  • Default: ./nanostatus.db (local) or /data/nanostatus.db (Docker)

YAML Configuration

You can pre-populate monitors using a YAML configuration file. Place monitors.yaml in the same directory as your database file.

Example monitors.yaml (in the same directory as your database):

monitors:
  - name: "Example.com"
    url: "https://example.com"
    icon: "🌐"
    checkInterval: 60
    isThirdParty: false
    paused: false

  - name: "Google"
    url: "https://google.com"
    icon: "🔍"
    checkInterval: 30
    isThirdParty: true
    paused: false

  - name: "GitHub"
    url: "https://github.com"
    icon: "💻"
    checkInterval: 120
    isThirdParty: true
    paused: false

Configuration Fields:

• name (required) - Display name for the service
• url (required) - Full URL to monitor (e.g., https://example.com)
• icon (optional) - Emoji icon to display
• checkInterval (optional) - How often to check in seconds (default: 60)
• isThirdParty (optional) - Whether this is a third-party service (default: false)
• paused (optional) - Whether monitoring should start paused (default: false)

Location:

• The YAML file must be named monitors.yaml and placed in the same directory as your database
• For Docker: If DB_PATH=/data/nanostatus.db, place the file at /data/monitors.yaml
• For local: If database is at ./nanostatus.db, place the file at ./monitors.yaml

How It Works:

• The YAML configuration is synchronized on every server startup
• Each monitor from YAML gets a hash calculated from its configuration
• The system compares hashes to detect changes:
  • New monitors in YAML are created
  • Changed monitors (different hash) are updated (preserving runtime data like status and uptime)
  • Removed monitors (no longer in YAML) are deleted
  • Unchanged monitors are left as-is
• Monitors created via the UI/API are not managed by YAML and won't be modified
• If a monitor with the same name/URL exists but was created via UI/API, the YAML version will be skipped to avoid duplicates

Service Configuration

When creating a monitor via the UI or API, you can configure:

• Name: Display name for the service
• URL: Full URL to monitor (e.g., https://example.com)
• Icon: Optional emoji icon
• Check Interval: How often to check (10-3600 seconds, default: 60)
• Third-party Service: Flag for external services

🎯 Features in Detail

Service Management

• Add Services: Create new monitors with custom check intervals
• Edit Services: Update name, URL, icon, and check interval
• Pause/Resume: Temporarily disable monitoring for specific services
• Delete Services: Remove monitors and their history

Real-time Updates

• SSE Streaming: All updates pushed instantly to connected clients
• Change Detection: Stats only calculated and sent when values change
• Debouncing: Rapid monitor updates are batched for efficiency
• No Polling: Frontend receives updates via SSE, eliminating HTTP polling

Response Time History

• Multiple Time Frames: View data for 1 hour, 12 hours, 1 week, or 1 year
• Interactive Charts: Beautiful area charts with gradient fills
• Time-based Formatting: Labels adapt to the selected time range

Statistics

• Overall Uptime: Average uptime across all unpaused services
• Service Counts: Number of services online/offline (unpaused only)
• Average Response Time: Calculated from last 24 hours of check history
• Real-time Updates: Stats update automatically when monitors change

🏗️ Project Structure

.
├── main.go              # Main server entry point and routing
├── models.go            # Data models and structures
├── database.go            # Database initialization and seeding
├── config.go             # YAML configuration loader
├── checker.go            # Service health checking logic
├── stats.go              # Statistics calculation
├── sse.go                # Server-Sent Events broadcasting
├── handlers.go           # HTTP API endpoint handlers
├── cleanup.go            # Background cleanup jobs
├── go.mod                # Go dependencies
├── go.sum                # Go dependency checksums
├── Dockerfile            # Standard multi-stage Docker build (distroless)
├── Dockerfile.minimal    # Minimal Docker build with UPX compression (scratch)
├── Makefile              # Build automation
├── monitors.yaml.example # Example YAML configuration file
├── dist/                 # Frontend build output (generated)
├── nanostatus.db         # SQLite database (generated)
├── monitors.yaml         # YAML config (optional, same dir as DB)
├── src/                  # Frontend source code
│   ├── src/
│   │   ├── App.tsx       # Main React component
│   │   ├── components/   # React components
│   │   │   ├── Header.tsx
│   │   │   ├── StatsGrid.tsx
│   │   │   ├── ServicesGrid.tsx
│   │   │   ├── ServiceCard.tsx
│   │   │   ├── MonitorDetails.tsx
│   │   │   ├── AddServiceDialog.tsx
│   │   │   ├── EditServiceDialog.tsx
│   │   │   └── ui/       # shadcn/ui components
│   │   ├── types/        # TypeScript type definitions
│   │   └── ...
│   └── package.json
└── README.md

🔧 Development

Building

# Build frontend
cd src
bun install
bun run build.ts --outdir=../dist

# Build backend
go build -o nanostatus main.go

Docker Build

The Dockerfile uses a multi-stage build:

1. Frontend Builder: Builds React app with Bun
2. Backend Builder: Compiles Go binary with embedded frontend
3. Final Stage: Minimal distroless image (no shell, no package manager)

Result: Ultra-small, secure container (~16MB)

📝 License

See LICENSE file for details.

🙏 Acknowledgments

Built with:

• Go - Backend server
• React - Frontend framework
• Bun - JavaScript runtime and package manager
• Tailwind CSS - Styling
• Framer Motion - Animations
• Recharts - Charting
• shadcn/ui - UI components
• GORM - ORM
• SQLite - Database

Icon Attribution

The favicon/logo is from the small-n-flat icon set, licensed under CC0 1.0 Universal. See ICON_LICENSE for full license text.