Automated DNS Log Analysis and Its Use in Resilient Supply Chains
This work explored how DNS and related website log data can be used as an operational signal for network observability and downstream planning. Log files capture the behavior of systems, services, and users over time, making them useful for identifying activity patterns, abnormal traffic, and shifts in demand.
The project focused on the idea that traffic data is not only useful for security or infrastructure monitoring, but can also inform supply-chain decisions. By studying request patterns, peaks, and anomalies, organizations can better understand customer behavior, detect disruptions earlier, and improve planning for logistics and service delivery.
At a portfolio level, this project sits at the intersection of analytics, observability, and operational resilience. It reflects an interest in using technical infrastructure data as a practical source for broader business insight.