Telecom — Telecom System Performance Monitoring Pipeline

Overview

The primary purpose of this DAG is to monitor and evaluate the performance of search systems within the telecom industry, focusing on anomaly detection and operational efficiency. It ingests data from various sources, including system logs and performance metrics, to create a comprehensive view of system health. The ingestion pipeline begins with collecting system logs that capture user interactions and performance data, followed by the extraction of key performance metrics that indicate system

The primary purpose of this DAG is to monitor and evaluate the performance of search systems within the telecom industry, focusing on anomaly detection and operational efficiency. It ingests data from various sources, including system logs and performance metrics, to create a comprehensive view of system health. The ingestion pipeline begins with collecting system logs that capture user interactions and performance data, followed by the extraction of key performance metrics that indicate system responsiveness and reliability. Processing steps include data analysis to identify any deviations from established performance norms, generating alerts when anomalies are detected, and compiling performance reports that summarize findings and trends. Quality control measures are integrated throughout the process to ensure the accuracy and integrity of the monitored data, which is crucial for maintaining trust in the performance metrics reported. The outputs of this DAG are displayed through a monitoring dashboard that provides real-time insights into system performance, allowing stakeholders to visualize key performance indicators (KPIs) such as response time and error rates. Monitoring KPIs are essential for proactive management, enabling teams to address issues before they escalate. The business value lies in improved operational efficiency, enhanced user satisfaction, and the ability to make data-driven decisions that optimize system performance in the competitive telecom landscape.

Part of the Literature Review solution for the Telecom industry.

Use cases

• Enhanced operational efficiency through timely issue detection
• Improved customer satisfaction with optimized search performance
• Data-driven decision-making capabilities for telecom management
• Reduced downtime and operational disruptions
• Increased trust in system performance metrics and reporting