This paper describes how we modeled and solved the DEBS’11 Grand Challenge of implementing a social network game using event processing technology. We first present an automaton-based model that we used to capture the game semantics. Then we summarize three different approaches we investigated to implement this automaton together with their evaluations. Finally, we provide a discussion of our observations and lessons learned as a result of this study.