4G/5G RAN Network Monitoring Dashboard
Real-time monitoring system for Linux server health across Rakuten Mobile's 4G/5G network infrastructure
Overview
At Rakuten Mobile, I developed an end-to-end auto-monitoring tool for 4G and 5G RAN (Radio Access Network) clusters, ensuring reliability and efficiency of the network infrastructure.
Key Features
- Real-time Monitoring: Dashboard for monitoring Linux server health across the network
- Automated Data Collection: Streamlit-based system for gathering system health metrics
- Anomaly Detection: Automated detection of network anomalies and potential issues
- KPI Reporting: Weekly automated reports on network performance metrics
System Components
| Component | Technology | Purpose |
|---|---|---|
| Dashboard | Streamlit | Real-time visualization |
| Data Collection | Python scripts | Automated metrics gathering |
| Anomaly Detection | Python, ML | Issue identification |
| Reporting | Python, Pandas | Weekly KPI reports |
Technologies Used
- Languages: Python, Shell Script
- Dashboard: Streamlit
- Data Analysis: Pandas, NumPy, Matplotlib
- Infrastructure: Linux servers
- Network: 4G/5G RAN clusters
Impact
- Improved network reliability through proactive monitoring
- Reduced manual effort in health checks and reporting
- Enhanced network performance through data-driven insights