Modern manufacturing environments are characterized by increasing complexity and reliance on sophisticated digital systems, particularly Manufacturing Execution Systems (MES) [1]. The seamless and secure update of MES software is critical to maintaining operational efficiency, enhancing security, and introducing new functionalities without disrupting production [14]. Traditional update strategies often involve significant downtime or introduce risks to tightly integrated industrial processes [11, 15]. This article proposes an adaptive, hybrid deployment strategy for software updates to the MES layer, leveraging concepts from cloud computing, edge computing, and robust deployment methodologies. The proposed framework aims to minimize disruption, enhance system resilience, and ensure data integrity during update cycles in complex industrial settings.