Developed and delivered the CelerData Doctor Diagnostic Tool for the StarRocks/starrocks repository, focusing on enhancing cluster observability and support workflows. The tool was implemented in Python and leverages data analysis, scripting, and system monitoring skills to automate the collection of cluster metadata and performance indicators. By identifying potential performance issues and generating a compressed diagnostic archive, the solution streamlines troubleshooting and accelerates support response times. The initial work strengthened cluster reliability by improving diagnostics capabilities and enabling proactive issue detection. This feature addressed the need for efficient metadata collection and comprehensive diagnostics within StarRocks cluster environments, supporting ongoing database administration.