Developed a unified Discovery Backend Configuration for the ai-dynamo/dynamo repository, consolidating the dyn_discovery_backend and dyn_kv_store components into a single backend to streamline service discovery. This work focused on reducing configuration complexity and enhancing the reliability of backend services by eliminating redundant key-value store references. Leveraging Python and backend development expertise, the implementation improved codebase maintainability and prepared the system for smoother deployment. The approach emphasized distributed systems principles, ensuring that service discovery processes became more robust and easier to manage. Over the course of the month, the developer delivered this feature without introducing or addressing any bug fixes.