Worked on enhancing the metrics subsystem within the PaddleNLP repository, focusing on improving observability and debugging capabilities. Developed a feature in Python that augments the metrics dump with process ID and start timestamp, enabling cross-process traceability and reducing investigation time during system monitoring. Leveraged skills in logging and process management to ensure that metrics logs now provide richer context, aligning with broader monitoring objectives and facilitating future instrumentation. The approach emphasized reliability and maintainability, supporting easier identification of processes and their lifecycles. No bugs were addressed during this period, with efforts concentrated on delivering this targeted, context-driven improvement.