Dear colleagues,

We are pleased to introduce MAG-UX, a newly adopted IT quality visualization solution developed by our AI Convergence Division.
This solution enables real-time performance monitoring and diagnosis based on actual user experiences, providing a more accurate and comprehensive view of service quality.

1. Overview

MAG-UX is a non-intrusive, agentless solution that analyzes mirrored network traffic to visualize IT quality from the user's perspective.
By identifying and quantifying delays and bottlenecks across service segments, it complements existing monitoring tools and facilitates real-time incident diagnosis.

2. Key Features

• Real User Experience Monitoring
  Measures perceived response times based on user environment (device, browser, OS, region, etc.)

• Agentless Packet Mirroring
  Collects traffic data through network switch mirroring without installing agents

• End-to-End Service Path Analysis
  Visualizes performance metrics across all segments: user – web – application – WAS – database

• Real-Time Anomaly Detection and Alerts
  Automatically detects delays, errors, and abnormal traffic behaviors

• Support for Multi-Cloud and On-Premise Environments
  Compatible with AWS, GCP, Azure, Naver Cloud, and others

• Integration with Existing Systems
  Seamless connection with APM, DBM, NMS, and other legacy monitoring tools

3. Use Cases

• Real-time identification of MRI image interruptions in hospitals

• Response time analysis of groupware services in government organizations

• Session bottleneck detection in university course registration systems

• Detection of abnormal queries in manufacturing RFID systems

• Comparative monitoring of internal and external users in public sector networks

4. Expected Benefits

• Establishes a user-centric IT quality monitoring framework

• Enhances the speed and accuracy of issue detection and response

• Complements and integrates with current point solutions

• Supports data-driven service optimization and operational efficiency

For additional information, please visit our company website:
www.datatrend.co.kr

We appreciate your continued interest and support as we work to enhance our IT service reliability and transparency.

Thank you.