A comprehensive tracking device for marketing analytics and GPU system monitoring, inspired by NVIDIA's Quad GPU system architecture, tailored for personal artist system use.
This system provides:
- Real-time marketing campaign tracking and analytics
- GPU performance monitoring for creative workstation (Quad GPU support)
- System resource tracking and optimization
- Data collection and visualization for marketing ROI
- Integration with AWS cloud services for data storage and analysis
-
Marketing Analytics
- Campaign performance tracking
- User engagement metrics
- Conversion tracking
- Attribution modeling
-
GPU System Monitoring
- Multi-GPU performance metrics
- Temperature and power consumption tracking
- Workload distribution analysis
- Real-time performance visualization
-
Data Management
- AWS S3 integration for data storage
- Real-time data streaming
- Historical data analysis
- Automated reporting
The system is designed with modularity in mind:
- Collectors: Data collection modules for various metrics
- Processors: Data processing and transformation layer
- Storage: AWS-based storage with local caching
- API: RESTful API for data access and integration
- Dashboard: Real-time visualization interface
- Python 3.8+
- AWS account with appropriate credentials
- NVIDIA GPU drivers (for GPU monitoring)
- Node.js 16+ (for dashboard)
# Clone the repository
git clone <repository-url>
cd marketing-tracking-system
# Install Python dependencies
pip install -r requirements.txt
# Install Node.js dependencies for dashboard
cd dashboard
npm install
# Configure AWS credentials
aws configureCopy the example configuration and customize:
cp config.example.yml config.ymlEdit config.yml with your specific settings:
- AWS credentials and region
- Marketing platform API keys
- GPU monitoring preferences
- Data retention policies
# Start the tracking system
python src/main.py
# Start the dashboard (in separate terminal)
cd dashboard
npm run devmarketing-tracking-system/
├── src/
│ ├── collectors/ # Data collection modules
│ ├── processors/ # Data processing logic
│ ├── storage/ # Storage interfaces
│ └── api/ # API endpoints
├── dashboard/ # Web dashboard
├── config/ # Configuration files
├── tests/ # Test suite
└── docs/ # Documentation
This is a personal project, but suggestions and improvements are welcome.
Dual-licensed under MIT OR GPL-3.0-or-later. See LICENSE and COPYING files for details.