Ganeriwal developed targeted observability enhancements for the linkedin/venice repository, focusing on backend metrics tracking and monitoring using Java. Over the course of a month, Ganeriwal introduced Partition State Monitoring Metrics to track partition states and transitions, addressing the need for improved visibility into workload distribution and resource state changes among replicas. The solution involved creating a new class for state transition statistics and integrating it with existing state models, enabling the system to consume and utilize these metrics effectively. This work established a foundation for data-driven capacity planning and faster incident analysis, demonstrating depth in backend development and monitoring practices.