EASY is researching the application of federated learning to industrial manufacturing processes. This allows for the cost- and energy-efficient use of distributed computing capacities in the edge-cloud continuum. To this end, we are developing a scalable, open-source runtime environment that allows for the dynamic distribution and execution of services described according to industry standards. Salzburg Research is contributing to the analysis and prediction of connection quality between edge and cloud nodes, as well as to the detection of anomalies in industrial communication networks. These contributions will enable the dynamic placement of services in the ideal location. These contributions are being integrated into the runtime environment, and their application is being demonstrated in a laboratory prototype.