Telecom — Real-Time Network Performance Monitoring Pipeline
NewThis DAG monitors network performance to ensure service reliability by collecting real-time data. It analyzes metrics and generates reports to optimize pricing strategies in the telecom sector.
Overview
The primary purpose of the telecom_kmds_network_monitoring DAG is to ensure the reliability of telecom services through real-time monitoring of network performance. This DAG collects data from various sources, including monitoring tools and equipment logs, to assess the health of infrastructure. The ingestion pipeline begins with the collection of performance metrics, which are then analyzed for key performance indicators (KPIs) such as availability and latency. The processing steps include data
The primary purpose of the telecom_kmds_network_monitoring DAG is to ensure the reliability of telecom services through real-time monitoring of network performance. This DAG collects data from various sources, including monitoring tools and equipment logs, to assess the health of infrastructure. The ingestion pipeline begins with the collection of performance metrics, which are then analyzed for key performance indicators (KPIs) such as availability and latency. The processing steps include data aggregation, performance analysis, quality control checks, and report generation. Quality controls are implemented to guarantee the reliability of the collected data, ensuring that any anomalies are addressed promptly. In the event of performance failures, alert mechanisms are triggered to facilitate immediate intervention. The outputs of this DAG consist of detailed performance reports and alerts that inform stakeholders of the network's status. Monitoring KPIs are crucial for maintaining service quality and optimizing pricing strategies. The business value of this DAG lies in its ability to enhance service reliability, reduce downtime, and ultimately drive customer satisfaction and retention in the competitive telecom market.
Part of the Pricing Optimization solution for the Telecom industry.
Use cases
- Increased service reliability leading to higher customer satisfaction
- Proactive issue resolution minimizing downtime
- Enhanced data-driven decision-making for pricing strategies
- Improved operational efficiency through automated monitoring
- Competitive advantage by maintaining optimal network performance
Technical Specifications
Inputs
- • Network performance metrics from monitoring tools
- • Equipment logs from network devices
- • Historical performance data for trend analysis
Outputs
- • Real-time performance reports for management
- • Alerts for network performance issues
- • KPI dashboards for ongoing monitoring
Processing Steps
- 1. Collect performance metrics from monitoring tools
- 2. Aggregate data from equipment logs
- 3. Analyze performance metrics for KPIs
- 4. Perform quality control checks on the data
- 5. Generate performance reports and alerts
- 6. Distribute reports to stakeholders
Additional Information
DAG ID
WK-0438
Last Updated
2025-02-23
Downloads
61