EXPERIMENTAL BUILD - Advanced CI/CD configuration management with AI integration.
- Experimental Version: 3.0.0-experimental (Testing)
- Production Version: 1.0.0
- Development Version: 2.0.0-beta
- Maintainer: DevOps Innovation Team
- Student: [YOUR NAME]
- Student ID: [YOUR ID]
- Warning:
⚠️ This build includes experimental features. Use at your own risk!
- AI-powered deployment optimization
- Multi-cloud orchestration (AWS, Azure, GCP, DigitalOcean)
- Predictive scaling with machine learning
- Zero-trust security architecture
- Event-driven architecture
- Chaos engineering tools
- Automated deployment scripts
- Real-time monitoring
- Configuration management
- Backup and recovery system
- SSL/TLS encryption
- Auto-scaling
- Load balancer integration
- Scheduled backups
- Docker Compose integration
- Hot reload enabled
- Debug mode active
- Enhanced logging
- Mock external APIs
The merged scripts now support all three environments.
# Install AI dependencies (if not already done)
pip install tensorflow keras
# Initialize AI models (if not already done)
# ./scripts/init-ai-models.sh
# Deploy using the experimental flag
export DEPLOY_ENV=experimental
./scripts/deploy.sh
# Start the monitor in AI-enhanced mode
export NODE_ENV=experimental
node scripts/monitor.js