The Cisco Branch Routers Series Network Analysis Module, part number NME-NAM-120S=, is a powerful network monitoring device designed to deliver extensive traffic monitoring and analysis for branch office networks. This module integrates directly into your existing Cisco router infrastructure, enhancing your network's ability to gather detailed insights without requiring separate hardware. By providing in-depth traffic analysis capabilities, the NME-NAM-120S enables users to monitor application performance and bandwidth usage throughout the network.
This module offers both real-time and historical data collection, helping IT teams understand traffic patterns and diagnose potential issues efficiently. With a focus on enhancing visibility, the NME-NAM-120S= delivers extensive performance data to help optimize routing, identify bottlenecks, and improve overall network performance, particularly for branch offices where resources may be more limited compared to large data centres.
The Cisco NME-NAM-120S= features built-in reporting tools that help simplify the analysis process. This includes easy-to-ui web-based interfaces that make it accessible for both expert administrators and less-experienced personnel. The module also supports a range of reporting formats, allowing you to share data insights seamlessly with relevant stakeholders.
Designed for affordability and ease of integration, this network module significantly reduces the need for additional external devices for traffic monitoring while maintaining a high level of accuracy in network performance tracking. Furthermore, the NAM module integrates with Cisco’s network monitoring and management tools, providing an end-to-end solution for comprehensive branch network analysis.
EOL Technology Services provides professional support for the NME-NAM-120S= through comprehensive assistance, ranging from troubleshooting to regular maintenance. In addition, EOL offers replacement parts to ensure continuity of service, helping to keep your Cisco Network Analysis Module running at optimal performance.
