During December 2025, Daiyaan migrated planner metrics to the backend in the ai-dynamo/dynamo repository, laying the groundwork for unified end-to-end analytics. This work enabled vLLM metrics to be queried across both frontend and backend systems, improving performance visibility and supporting data-driven decision making. Daiyaan’s approach involved backend development and API design using Python, with a focus on data analysis and unit testing to ensure reliability. The migration marked the first phase of a three-part vLLM rollout, establishing foundational instrumentation for future analytics enhancements. The depth of this work reflects careful planning and a methodical approach to scalable analytics infrastructure.