In the final post of a series on real-time data streaming for gaming, the focus is on optimizing player matching in online multiplayer games using Redpanda and microservices to enhance scalability and reliability. The proposed architecture employs Redpanda as a scalable event broker, facilitating asynchronous communication between the gaming frontend and the match-making API through two topics: match-requests and match-responses. The solution, implemented using the Quarkus Java framework and available on GitHub, consists of a frontend module that handles player interactions and a worker module that processes match requests. By decoupling the gaming frontend from match-making APIs, this setup allows game developers to independently scale and evolve their games without latency issues as player requests increase. The article highlights how this approach addresses common challenges faced by game developers in efficiently matching players, ultimately enhancing the gaming experience.