Worked on the SE4CPS/DMS repository to deliver application performance monitoring by instrumenting the flowers_ui function with a timer that measures database query durations for customer and order data. Leveraged Python to surface these timings directly in the web interface, providing real-time visibility into query latency for users and supporting ongoing SLA compliance. Introduced a test-oriented limit on the number of records fetched to safeguard performance and facilitate troubleshooting without impacting user experience. Focused on database interaction and performance monitoring, the work emphasized maintainability and observability, with all changes completed in a single feature release and no major bugs addressed during the period.