Developed enhanced observability features for the schneems/TechEmpowerFrameworkBenchmarks repository, focusing on connection load and distribution within H2O-powered worker threads. Implemented per-thread connection load tracking in C, enabling periodic sampling of active connections and reporting detailed statistics upon thread shutdown. This approach provided actionable insights into the distribution of connections and supported more effective load balancing and capacity planning. Leveraging skills in networking, performance monitoring, and system programming, the work established a data-driven foundation for future thread-pool tuning. Documentation and commit notes were updated to reflect new metrics and telemetry cadence, ensuring maintainability and clarity for ongoing development efforts.