In the last few years there has been increased interest in deploying application logic at the network edge. However, in order to effectively use edge resources, applications must replicate state at edges. In current applications the policy for when and where state should be replicated is embedded in the application, however this policy depends not just on application logic but also on workloads and resource availability. Workload and resource availability can vary significantly over an application’s lifetime, and this can result in poor performance when adopting edge computing. In this work we propose Edgy, a framework that decouples replication logic from application logic, thus enabling applications to better respond to workload and infrastructure changes.