Managing software assets effectively becomes challenging for large organizations with extensive IT infrastructures, especially during audits, which can reveal discrepancies in software usage and licensing. Utilizing Elasticsearch and Software Defined Networking telemetry, network traffic analysis provides a solution by tracking software activity through server communication patterns. For instance, applications like Adobe Photoshop and Illustrator generate identifiable network traffic, allowing the calculation of user numbers and usage times by analyzing data such as the Server Name Indication and timestamps. The process involves filtering relevant data, using date histograms for time-based aggregation, and employing cardinality and scripted metric aggregations to determine user counts and usage durations. This method leverages network data to produce insightful analytics, which can be visualized using tools like Chart.js, highlighting the potential of combining network functions with the Elastic Stack for robust IT asset management.