Network traffic monitoring is a critical aspect of managing information technology infrastructure, especially as the growing number of devices and users increases system complexity. Conventional command-line-based approaches are no longer sufficient, as they fail to provide real-time visibility, centralized data, or comprehensive metrics. This research proposes a monitoring system utilizing Grafana and Prometheus—both open-source platforms—along with Node Exporter to collect device performance metrics. The Network Development Life Cycle (NDLC) methodology was employed, encompassing analysis, design, and prototype simulation phases. The system provides real-time visualization of metrics such as bandwidth usage, CPU and memory utilization, and network status through an interactive dashboard. Black-box testing confirmed that all features function according to the defined scenarios. Ultimately, the system proves to be efficient and scalable, enabling administrators to monitor and analyze network conditions more rapidly and accurately than manual methods.
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