In the paper, we introduce the EASY project, which aims to create a software framework for efficient computing on the industrial edge. The goal of EASY is to make the added value of edge computing available by providing an easily usable edge-cloud continuum with a runtime environment and services for the execution of AI-based analysis and control processes. Within this continuum, a dynamic, distributed, and optimized execution of services is automated across the entire spectrum from centralized cloud to decentralized edge instances to increase productivity and resource efficiency.