1. Executive Summary
This document outlines the technical specification for a lightweight web-based user interface for Borg, designed to run efficiently on resource-constrained devices like Raspberry Pi or Odroid. The solution provides comprehensive visualization and control over backup operations without requiring command-line interaction.
1.1 Key Objectives
- Resource Efficiency: Minimal memory and CPU footprint suitable for ARM-based devices
- Comprehensive Functionality: Full backup management capabilities through web interface
- Easy Deployment: Docker-based containerization for simplified deployment
- Security: Authentication and secure remote access capabilities
- User Experience: Intuitive interface for non-technical users
2. System Architecture
2.1 High-Level Architecture
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Web Browser │ │ Borg │ │ System │
│ (Frontend) │◄──►│ Web UI │◄──►│ (Backend) │
│ │ │ (Backend) │ │ │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│
▼
┌─────────────────┐
│ Borg │
│ CLI Interface │
└─────────────────┘
2.2 Technology Stack
Backend
- Framework: FastAPI (Python 3.9+)
- Process Management: Subprocess for Borg CLI interaction
- Authentication: JWT-based with bcrypt password hashing
- Database: SQLite for lightweight storage
- Logging: Structured logging with rotation
Frontend
- Framework: React 18 with TypeScript
- Styling: Tailwind CSS for lightweight, responsive design
- State Management: React Context + useReducer
- HTTP Client: Axios for API communication
- Real-time Updates: Server-Sent Events (SSE)
Containerization
- Runtime: Docker with multi-stage builds
- Base Image: Python 3.9-slim for minimal footprint
- Web Server: Gunicorn with Uvicorn workers
3. Core Components Specification
3.1 Dashboard Component
3.1.1 Features
- Backup Status Overview: Real-time status of all configured repositories
- Storage Metrics: Disk usage, backup size, compression ratios
- Scheduling Display: Next scheduled backup times
- Quick Actions: Manual backup, restore, and configuration buttons
- System Health: CPU, memory, and disk usage monitoring
3.1.2 Data Flow
Dashboard → API → Borg CLI → System → Real-time Updates
3.1.3 API Endpoints
GET /api/dashboard/status
GET /api/dashboard/metrics
GET /api/dashboard/schedule
GET /api/dashboard/health
3.2 Configuration Management
3.2.1 Configuration Viewer
- YAML Editor: Syntax-highlighted editor with validation
- Configuration Templates: Pre-built templates for common scenarios
- Validation: Real-time YAML syntax and Borg configuration validation
- Backup/Restore: Configuration backup and restore capabilities
3.2.2 API Endpoints
GET /api/config/current
PUT /api/config/update
POST /api/config/validate
GET /api/config/templates
POST /api/config/backup
POST /api/config/restore
3.3 Backup Control
3.3.1 Manual Backup Operations
- Repository Selection: Choose specific repositories for backup
- Progress Monitoring: Real-time progress with detailed logs
- Cancel Operations: Ability to cancel running backups
- Prune Integration: Automatic pruning after backup completion
3.3.2 API Endpoints
POST /api/backup/start
GET /api/backup/status/{job_id}
DELETE /api/backup/cancel/{job_id}
GET /api/backup/logs/{job_id}
3.4 Archive Browser
3.4.1 Archive Management
- Repository Listing: Browse all configured repositories
- Archive Details: View archive metadata, size, and contents
- File Browser: Navigate archive contents with search
- Archive Operations: Delete, rename, and tag archives
3.4.2 API Endpoints
GET /api/archives/list
GET /api/archives/{archive_id}/info
GET /api/archives/{archive_id}/contents
DELETE /api/archives/{archive_id}
POST /api/archives/{archive_id}/rename
3.5 Restore Functionality
3.5.1 Restore Operations
- Archive Selection: Choose source archive for restore
- Path Selection: Select files/directories to restore
- Destination Configuration: Choose restore location
- Progress Monitoring: Real-time restore progress
- Dry Run: Preview restore operations
3.5.2 API Endpoints
POST /api/restore/preview
POST /api/restore/start
GET /api/restore/status/{job_id}
DELETE /api/restore/cancel/{job_id}
GET /api/restore/logs/{job_id}
3.6 Scheduling Management
3.6.1 Cron Integration
- Schedule Editor: Visual cron expression builder
- Job Management: View, edit, and delete scheduled jobs
- Execution History: Track scheduled job executions
- Manual Trigger: Execute scheduled jobs manually
3.6.2 API Endpoints
GET /api/schedule/jobs
POST /api/schedule/job
PUT /api/schedule/job/{job_id}
DELETE /api/schedule/job/{job_id}
POST /api/schedule/job/{job_id}/trigger
GET /api/schedule/history
3.7 Log Management
3.7.1 Log Viewer
- Real-time Logs: Live log streaming with filtering
- Log Levels: Filter by error, warning, info, debug
- Search Functionality: Full-text search across logs
- Export Capabilities: Download logs in various formats
3.7.2 API Endpoints
GET /api/logs/stream
GET /api/logs/search
GET /api/logs/download
GET /api/logs/levels
3.8 System Settings
3.8.1 Settings Management
- Authentication: User management and password changes
- Network Configuration: Port settings and access controls
- Backup Settings: Default backup parameters
- Notification Settings: Email and webhook configurations
3.8.2 API Endpoints
GET /api/settings/system
PUT /api/settings/system
GET /api/settings/auth
PUT /api/settings/auth
GET /api/settings/notifications
PUT /api/settings/notifications
3.9 Health Monitoring
3.9.1 System Health
- Resource Monitoring: CPU, memory, disk usage
- Backup Health: Repository status and integrity
- Network Monitoring: Connectivity and performance
- Alert System: Configurable alerts for issues
3.9.2 API Endpoints
GET /api/health/system
GET /api/health/backups
GET /api/health/network
POST /api/health/alerts
4. User Interface Design
4.1 Design Principles
4.1.1 Responsive Design
- Mobile-First: Optimized for touch interfaces
- Progressive Enhancement: Core functionality works without JavaScript
- Accessibility: WCAG 2.1 AA compliance
- Performance: Minimal bundle size and fast loading
4.1.2 Visual Design
- Color Scheme: Dark mode with high contrast
- Typography: System fonts for performance
- Icons: SVG icons for scalability
- Layout: Grid-based responsive layout
4.2 Component Structure
src/
├── components/
│ ├── common/
│ │ ├── Header.tsx
│ │ ├── Sidebar.tsx
│ │ ├── Loading.tsx
│ │ └── ErrorBoundary.tsx
│ ├── dashboard/
│ │ ├── StatusCard.tsx
│ │ ├── MetricsChart.tsx
│ │ └── QuickActions.tsx
│ ├── config/
│ │ ├── YamlEditor.tsx
│ │ ├── ConfigValidator.tsx
│ │ └── TemplateSelector.tsx
│ ├── backup/
│ │ ├── BackupControl.tsx
│ │ ├── ProgressMonitor.tsx
│ │ └── JobQueue.tsx
│ ├── archives/
│ │ ├── ArchiveList.tsx
│ │ ├── FileBrowser.tsx
│ │ └── ArchiveDetails.tsx
│ ├── restore/
│ │ ├── RestoreWizard.tsx
│ │ ├── PathSelector.tsx
│ │ └── RestoreProgress.tsx
│ ├── schedule/
│ │ ├── CronEditor.tsx
│ │ ├── JobList.tsx
│ │ └── ExecutionHistory.tsx
│ ├── logs/
│ │ ├── LogViewer.tsx
│ │ ├── LogFilter.tsx
│ │ └── LogSearch.tsx
│ ├── settings/
│ │ ├── SystemSettings.tsx
│ │ ├── AuthSettings.tsx
│ │ └── NotificationSettings.tsx
│ └── health/
│ ├── SystemHealth.tsx
│ ├── BackupHealth.tsx
│ └── AlertManager.tsx
4.3 State Management
4.3.1 Context Structure
interface AppState {
auth: AuthState;
dashboard: DashboardState;
backup: BackupState;
config: ConfigState;
archives: ArchivesState;
restore: RestoreState;
schedule: ScheduleState;
logs: LogsState;
settings: SettingsState;
health: HealthState;
}
4.3.2 Real-time Updates
- Server-Sent Events: For live log streaming and progress updates
- WebSocket Fallback: For environments requiring WebSocket support
- Polling: Fallback for environments with limited real-time capabilities
5. Backend Architecture
5.1 FastAPI Application Structure
app/
├── main.py # Application entry point
├── config.py # Configuration management
├── database/
│ ├── models.py # SQLAlchemy models
│ ├── database.py # Database connection
│ └── migrations/ # Database migrations
├── api/
│ ├── auth.py # Authentication endpoints
│ ├── dashboard.py # Dashboard endpoints
│ ├── config.py # Configuration endpoints
│ ├── backup.py # Backup endpoints
│ ├── archives.py # Archive endpoints
│ ├── restore.py # Restore endpoints
│ ├── schedule.py # Schedule endpoints
│ ├── logs.py # Log endpoints
│ ├── settings.py # Settings endpoints
│ └── health.py # Health endpoints
├── core/
│ ├── borg.py # Borg CLI interface
│ ├── scheduler.py # Cron job management
│ ├── notifications.py # Notification system
│ └── security.py # Security utilities
├── models/
│ ├── auth.py # Authentication models
│ ├── backup.py # Backup models
│ ├── config.py # Configuration models
│ └── system.py # System models
└── utils/
├── logger.py # Logging utilities
├── validators.py # Validation utilities
└── helpers.py # Helper functions
5.2 Borg Integration
5.2.1 CLI Interface
class BorgInterface:
def __init__(self, config_path: str):
self.config_path = config_path
self.borg_cmd = "borg"
async def run_backup(self, repository: str = None) -> dict:
"""Execute backup operation"""
cmd = [self.borg_cmd, "create"]
if repository:
cmd.extend(["--repository", repository])
return await self._execute_command(cmd)
async def list_archives(self, repository: str) -> dict:
"""List archives in repository"""
cmd = [self.borg_cmd, "list", "--repository", repository]
return await self._execute_command(cmd)
async def _execute_command(self, cmd: List[str]) -> dict:
"""Execute command with real-time output capture"""
process = await asyncio.create_subprocess_exec(
*cmd,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
stdout, stderr = await process.communicate()
return {
"return_code": process.returncode,
"stdout": stdout.decode(),
"stderr": stderr.decode()
}
5.3 Database Schema
5.3.1 Core Tables
-- Users table for authentication
CREATE TABLE users (
id INTEGER PRIMARY KEY,
username VARCHAR(50) UNIQUE NOT NULL,
password_hash VARCHAR(255) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Backup jobs table
CREATE TABLE backup_jobs (
id INTEGER PRIMARY KEY,
repository VARCHAR(255) NOT NULL,
status VARCHAR(20) NOT NULL,
started_at TIMESTAMP,
completed_at TIMESTAMP,
error_message TEXT,
logs TEXT
);
-- Configuration backups
CREATE TABLE config_backups (
id INTEGER PRIMARY KEY,
name VARCHAR(100) NOT NULL,
content TEXT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Scheduled jobs
CREATE TABLE scheduled_jobs (
id INTEGER PRIMARY KEY,
name VARCHAR(100) NOT NULL,
cron_expression VARCHAR(100) NOT NULL,
repository VARCHAR(255),
enabled BOOLEAN DEFAULT TRUE,
last_run TIMESTAMP,
next_run TIMESTAMP
);
-- System logs
CREATE TABLE system_logs (
id INTEGER PRIMARY KEY,
level VARCHAR(10) NOT NULL,
message TEXT NOT NULL,
timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
source VARCHAR(50)
);
6. API Design
6.1 Authentication API
6.1.1 Endpoints
# Authentication
POST /api/auth/login
POST /api/auth/logout
POST /api/auth/refresh
GET /api/auth/me
# User management
GET /api/auth/users
POST /api/auth/users
PUT /api/auth/users/{user_id}
DELETE /api/auth/users/{user_id}
6.1.2 Security Implementation
from fastapi import Depends, HTTPException, status
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
import jwt
from passlib.context import CryptContext
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
security = HTTPBearer()
def create_access_token(data: dict):
to_encode = data.copy()
expire = datetime.utcnow() + timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
to_encode.update({"exp": expire})
encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
return encoded_jwt
async def get_current_user(credentials: HTTPAuthorizationCredentials = Depends(security)):
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
try:
payload = jwt.decode(credentials.credentials, SECRET_KEY, algorithms=[ALGORITHM])
username: str = payload.get("sub")
if username is None:
raise credentials_exception
except JWTError:
raise credentials_exception
return username
6.2 Dashboard API
6.2.1 Status Endpoint
@router.get("/api/dashboard/status")
async def get_dashboard_status(current_user: str = Depends(get_current_user)):
"""Get comprehensive dashboard status"""
try:
# Get backup status
backup_status = await borg.get_backup_status()
# Get system metrics
system_metrics = await get_system_metrics()
# Get scheduled jobs
scheduled_jobs = await get_scheduled_jobs()
return {
"backup_status": backup_status,
"system_metrics": system_metrics,
"scheduled_jobs": scheduled_jobs,
"last_updated": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error getting dashboard status: {e}")
raise HTTPException(status_code=500, detail="Failed to get dashboard status")
6.3 Real-time Updates
6.3.1 Server-Sent Events
@router.get("/api/events/backup-progress/{job_id}")
async def backup_progress_events(job_id: str):
"""Stream backup progress updates"""
async def event_generator():
while True:
# Check if job is still running
job_status = await get_job_status(job_id)
if job_status["status"] in ["completed", "failed", "cancelled"]:
yield f"data: {json.dumps(job_status)}\n\n"
break
yield f"data: {json.dumps(job_status)}\n\n"
await asyncio.sleep(1)
return StreamingResponse(
event_generator(),
media_type="text/plain",
headers={
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"Content-Type": "text/event-stream"
}
)
7. Docker Implementation
7.1 Multi-stage Dockerfile
# Build stage for frontend
FROM node:18-alpine AS frontend-builder
WORKDIR /app/frontend
COPY frontend/package*.json ./
RUN npm ci --only=production
COPY frontend/ .
RUN npm run build
# Build stage for backend
FROM python:3.9-slim AS backend-builder
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Production stage
FROM python:3.9-slim AS production
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
cron \
borgbackup \
&& rm -rf /var/lib/apt/lists/*
# Copy Python dependencies
COPY --from=backend-builder /usr/local/lib/python3.9/site-packages /usr/local/lib/python3.9/site-packages
COPY --from=backend-builder /usr/local/bin /usr/local/bin
# Copy application code
COPY app/ ./app/
COPY --from=frontend-builder /app/frontend/build ./app/static
# Create non-root user
RUN useradd -m -u 1000 borg && \
chown -R borg:borg /app
# Switch to non-root user
USER borg
# Expose port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8000/api/health/system || exit 1
# Start application
CMD ["gunicorn", "app.main:app", "--bind", "0.0.0.0:8000", "--workers", "2", "--worker-class", "uvicorn.workers.UvicornWorker"]
7.2 Docker Compose Configuration
version: '3.8'
services:
borg-ui:
build: .
container_name: borg-web-ui
ports:
- "8080:8000"
volumes:
- ./config:/app/config:ro
- ./backups:/backups:ro
- ./logs:/app/logs
- /etc/cron.d:/etc/cron.d:ro
environment:
- BORG_CONFIG_PATH=/app/config
- BORG_BACKUP_PATH=/backups
- LOG_LEVEL=INFO
- SECRET_KEY=${SECRET_KEY}
restart: unless-stopped
networks:
- borg-network
# Optional: PostgreSQL for production
postgres:
image: postgres:13-alpine
container_name: borg-db
environment:
- POSTGRES_DB=borg
- POSTGRES_USER=borg
- POSTGRES_PASSWORD=${DB_PASSWORD}
volumes:
- postgres_data:/var/lib/postgresql/data
restart: unless-stopped
networks:
- borg-network
networks:
borg-network:
driver: bridge
volumes:
postgres_data:
7.3 Environment Configuration
# .env file
SECRET_KEY=your-secret-key-here
DB_PASSWORD=your-db-password
BORG_CONFIG_PATH=/app/config
BORG_BACKUP_PATH=/backups
LOG_LEVEL=INFO
ALLOWED_HOSTS=localhost,127.0.0.1
CORS_ORIGINS=http://localhost:3000,http://localhost:8080
8. Deployment Considerations
8.1 Resource Requirements
8.1.1 Minimum Requirements
- CPU: 1 core ARM Cortex-A53 or equivalent
- RAM: 512MB (1GB recommended)
- Storage: 2GB for application + backup storage
- Network: Ethernet or WiFi connection
8.1.2 Recommended Requirements
- CPU: 2+ cores ARM Cortex-A72 or equivalent
- RAM: 2GB
- Storage: 8GB+ for application and backup storage
- Network: Gigabit Ethernet
8.2 Security Considerations
8.2.1 Authentication
- JWT Tokens: Secure token-based authentication
- Password Hashing: bcrypt with salt rounds
- Session Management: Configurable session timeouts
- Rate Limiting: API rate limiting to prevent abuse
8.2.2 Network Security
- HTTPS: TLS/SSL encryption for all communications
- CORS: Configurable Cross-Origin Resource Sharing
- Firewall: Port restrictions and access controls
- VPN: Optional VPN integration for remote access
8.2.3 Data Security
- Encryption: Backup data encryption at rest
- Access Control: Role-based access control
- Audit Logging: Comprehensive audit trail
- Backup Security: Encrypted configuration backups
8.3 Monitoring and Logging
8.3.1 Application Monitoring
# Health check endpoints
@router.get("/api/health/system")
async def system_health():
return {
"cpu_usage": get_cpu_usage(),
"memory_usage": get_memory_usage(),
"disk_usage": get_disk_usage(),
"uptime": get_system_uptime()
}
@router.get("/api/health/backups")
async def backup_health():
return {
"repositories": await get_repository_status(),
"last_backup": await get_last_backup_time(),
"backup_errors": await get_recent_backup_errors()
}
8.3.2 Logging Configuration
# Structured logging setup
import structlog
structlog.configure(
processors=[
structlog.stdlib.filter_by_level,
structlog.stdlib.add_logger_name,
structlog.stdlib.add_log_level,
structlog.stdlib.PositionalArgumentsFormatter(),
structlog.processors.TimeStamper(fmt="iso"),
structlog.processors.StackInfoRenderer(),
structlog.processors.format_exc_info,
structlog.processors.UnicodeDecoder(),
structlog.processors.JSONRenderer()
],
context_class=dict,
logger_factory=structlog.stdlib.LoggerFactory(),
wrapper_class=structlog.stdlib.BoundLogger,
cache_logger_on_first_use=True,
)
8.4 Backup and Recovery
8.4.1 Configuration Backup
async def backup_configuration():
"""Backup current configuration"""
config_path = os.getenv("BORG_CONFIG_PATH")
backup_dir = "/app/backups/config"
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
backup_file = f"{backup_dir}/config_backup_{timestamp}.tar.gz"
with tarfile.open(backup_file, "w:gz") as tar:
tar.add(config_path, arcname="config")
return backup_file
8.4.2 Disaster Recovery
- Configuration Backup: Automatic backup of all configurations
- Database Backup: Regular SQLite database backups
- Application Backup: Docker image and configuration backups
- Recovery Procedures: Documented recovery procedures
9. Performance Optimization
9.1 Frontend Optimization
9.1.1 Bundle Optimization
// webpack.config.js
module.exports = {
optimization: {
splitChunks: {
chunks: 'all',
cacheGroups: {
vendor: {
test: /[\\/]node_modules[\\/]/,
name: 'vendors',
chunks: 'all',
},
},
},
},
performance: {
hints: 'warning',
maxEntrypointSize: 512000,
maxAssetSize: 512000,
},
};
9.1.2 Lazy Loading
// Lazy load components for better performance
const Dashboard = lazy(() => import('./components/dashboard/Dashboard'));
const ConfigEditor = lazy(() => import('./components/config/ConfigEditor'));
const ArchiveBrowser = lazy(() => import('./components/archives/ArchiveBrowser'));
9.2 Backend Optimization
9.2.1 Caching Strategy
from fastapi_cache import FastAPICache
from fastapi_cache.backends.redis import RedisBackend
from fastapi_cache.decorator import cache
@cache(expire=300) # Cache for 5 minutes
async def get_dashboard_metrics():
"""Get cached dashboard metrics"""
return await calculate_metrics()
@cache(expire=60) # Cache for 1 minute
async def get_repository_status():
"""Get cached repository status"""
return await borg.get_repository_status()
9.2.2 Database Optimization
# Database connection pooling
from sqlalchemy import create_engine
from sqlalchemy.pool import QueuePool
engine = create_engine(
"sqlite:///borg.db",
poolclass=QueuePool,
pool_size=10,
max_overflow=20,
pool_pre_ping=True
)
10. Testing Strategy
10.1 Unit Testing
10.1.1 Backend Tests
# tests/test_borg.py
import pytest
from app.core.borg import BorgInterface
@pytest.fixture
def borg_interface():
return BorgInterface("/tmp/test_config")
@pytest.mark.asyncio
async def test_run_backup(borg_interface):
result = await borg_interface.run_backup("test_repo")
assert result["return_code"] == 0
assert "backup" in result["stdout"].lower()
10.1.2 Frontend Tests
// tests/components/Dashboard.test.tsx
import { render, screen } from '@testing-library/react';
import Dashboard from '../Dashboard';
test('renders dashboard with status cards', () => {
render(<Dashboard />);
expect(screen.getByText('Backup Status')).toBeInTheDocument();
expect(screen.getByText('System Health')).toBeInTheDocument();
});
10.2 Integration Testing
10.2.1 API Testing
# tests/test_api.py
from fastapi.testclient import TestClient
from app.main import app
client = TestClient(app)
def test_dashboard_status():
response = client.get("/api/dashboard/status")
assert response.status_code == 200
assert "backup_status" in response.json()
10.3 End-to-End Testing
10.3.1 Docker Testing
# docker-compose.test.yml
version: '3.8'
services:
test-app:
build: .
environment:
- TESTING=true
- DATABASE_URL=sqlite:///test.db
volumes:
- ./tests:/app/tests
command: ["pytest", "/app/tests"]
11. Documentation
11.1 User Documentation
11.1.1 Getting Started Guide
- Installation: Step-by-step Docker installation
- Configuration: Initial setup and configuration
- First Backup: Creating and running first backup
- Troubleshooting: Common issues and solutions
11.1.2 User Manual
- Dashboard: Understanding the dashboard interface
- Backup Management: Creating and managing backups
- Restore Operations: Restoring data from archives
- Scheduling: Setting up automated backups
- Monitoring: Understanding system health and logs
11.2 Developer Documentation
11.2.1 API Documentation
- OpenAPI/Swagger: Auto-generated API documentation
- Endpoint Reference: Detailed endpoint documentation
- Authentication: Authentication and authorization guide
- Error Codes: Comprehensive error code reference
11.2.2 Development Guide
- Setup: Development environment setup
- Architecture: System architecture overview
- Contributing: Contribution guidelines
- Testing: Testing procedures and guidelines
12. Conclusion
This technical specification provides a comprehensive framework for developing a lightweight, feature-rich web UI for Borg. The solution addresses all core requirements while maintaining focus on resource efficiency and ease of deployment.
12.1 Key Success Factors
- Resource Efficiency: Minimal footprint suitable for ARM devices
- Comprehensive Functionality: Full backup management capabilities
- Security: Robust authentication and data protection
- User Experience: Intuitive interface for non-technical users
- Deployment Simplicity: Docker-based deployment for easy installation
- Maintainability: Well-structured codebase with comprehensive testing
- Scalability: Architecture supports future enhancements
12.2 Next Steps
- Implementation: Begin with core dashboard and backup functionality
- Testing: Comprehensive testing across different ARM devices
- Documentation: Complete user and developer documentation
- Deployment: Create deployment packages and installation scripts
- Community: Open source release and community engagement
This specification provides a solid foundation for building a production-ready Borg web UI that meets all requirements while maintaining the lightweight, efficient design necessary for resource-constrained devices.