tmf628-performance-manager

To identify network hotspots, you analyze TMF628 performance data to filter time-series metrics and rank cell sites by the severity of threshold violations. This allows targeted troubleshooting of network resources experiencing critical utilization.

The best way to detect cell sites exceeding 80% utilization is by applying time-series filtering to TMF628 performance data. You extract defined thresholds and rank resources to pinpoint specific sites experiencing high utilization during peak periods.

Yes, you need Node.js installed for script execution and access to TMF628 Performance Management v4 MCP servers. These dependencies are required to query the performance data and execute the time-series filtering and resource ranking logic.

Yes, you can use threshold analysis for network capacity planning and anomaly detection. By extracting thresholds from TMF628 performance data and ranking resources by violation severity, you can prioritize upgrades and dispatch field teams effectively.

Time-series filtering works by narrowing TMF628 performance management data to specific time windows, such as peak hours. It isolates metrics within those periods to compare against extracted thresholds and rank network resource anomalies.

Network resource ranking may not show the highest severity hotspots if the TMF628 performance data time-series filtering is misconfigured or thresholds are incorrectly extracted. Ensure your time window accurately captures the peak violation periods.