Enterprise-grade backup solution with semantic file organization and production reliability

BackupIQ.tech →

• Production-Grade Reliability: Circuit breakers, exponential backoff, resource monitoring
• Semantic Organization: AI-powered file classification and knowledge graph construction
• Multi-Cloud Support: Pluggable architecture supporting iCloud, Google Drive, AWS S3
• Enterprise Monitoring: Prometheus metrics, structured logging, health checks
• Scalable Architecture: Microservices-ready with dependency injection
• Security-First: Encrypted storage, audit trails, compliance reporting
• DevOps Ready: Docker containers, Kubernetes deployment, Terraform infrastructure

# Production deployment
docker-compose up -d
curl http://localhost:8080/health

# Development setup
make install
make test
make run

BackupIQ/
├── src/                    # Source code
│   ├── core/              # Core business logic
│   ├── services/          # Business services
│   ├── interfaces/        # External interfaces
│   └── monitoring/        # Observability
├── tests/                 # Test suites
│   ├── unit/             # Unit tests
│   ├── integration/      # Integration tests
│   └── e2e/              # End-to-end tests
├── config/               # Configuration
├── deployment/           # Infrastructure as Code
├── monitoring/           # Observability configs
└── docs/                # Documentation

# config/environments/production.yml
backup:
  resources:
    max_memory_gb: 4.0
    max_cpu_percent: 75
    concurrent_uploads: 5

monitoring:
  metrics_port: 9090
  health_port: 8080
  log_level: INFO

# config/services.yml
services:
  backup_orchestrator:
    enabled: true
    instances: 3
  knowledge_graph:
    enabled: true
    database: neo4j://neo4j:7687

• GET /health - System health status
• GET /metrics - Prometheus metrics
• GET /status - Current operations
• GET /version - Build information

• backup_files_processed_total - Files processed counter
• backup_duration_seconds - Backup operation duration
• backup_errors_total - Error counter by type
• system_resource_usage - CPU/Memory/Disk utilization

{
  "timestamp": "2025-01-24T10:30:00Z",
  "level": "INFO",
  "service": "backup-orchestrator",
  "correlation_id": "corr-abc123",
  "message": "Backup completed",
  "metadata": {
    "files_processed": 1337,
    "duration_ms": 45000,
    "size_bytes": 2048000
  }
}

• End-to-end encryption with AES-256
• OAuth 2.0/OIDC authentication
• RBAC with fine-grained permissions
• Audit logging for compliance
• Secrets management integration
• Network security with mTLS

• SOC 2 Type II ready
• GDPR data handling
• HIPAA compliance options
• PCI DSS for sensitive data

docker-compose -f deployment/docker/docker-compose.yml up -d

kubectl apply -f deployment/k8s/

cd deployment/terraform
terraform apply -var-file="production.tfvars"

make test-unit          # Unit tests (95%+ coverage)
make test-integration   # Integration tests
make test-e2e          # End-to-end tests
make test-performance  # Performance benchmarks
make test-security     # Security scans

• Unit test coverage: ≥95%
• Integration test coverage: ≥85%
• Security scan: No HIGH/CRITICAL
• Performance: <30s backup time for 10GB

• Throughput: 1000+ files/minute
• Latency: <100ms per file operation
• Memory: <4GB for 1TB dataset
• Concurrent uploads: 10+ streams
• Recovery time: <15 minutes

• Horizontal scaling with Redis clustering
• Vertical scaling with resource limits
• Auto-scaling based on queue depth
• Load balancing across instances

• Python 3.9+
• Docker & Docker Compose
• Make
• Git

git clone https://github.com/Senpai-sama7/BackupIQ
cd BackupIQ
make dev-setup
make test

make lint      # Linting with black, flake8, mypy
make security  # Security scan with bandit
make format    # Auto-formatting
make check     # All quality checks

• API Documentation - REST API reference
• Architecture Guide - System design
• Operations Manual - Production operations
• Developer Guide - Development workflow

1. Fork the repository
2. Create feature branch: git checkout -b feature/amazing-feature
3. Run tests: make test
4. Commit changes: git commit -m 'Add amazing feature'
5. Push branch: git push origin feature/amazing-feature
6. Create Pull Request

MIT License - see LICENSE for details.

• Issues: GitHub Issues
• Documentation: Wiki
• Commercial: [email protected]# BackupIQ