Run simulate_data.py in the terminal first. Then with a separate terminal navigate to backend and run manage.py runserver. From there you can access the localhost:8000/admin/ to view the simulated metrics. Next is to build:
- An API to expose the metrics for external use -- DONE
- Create a frontend dashboard for real-time visualization
- Add anamoly detection to flag suspicious metrics.
- Data persistence and management
- Alerts and notifications
- User management