Edge-to-Cloud: A New Path for Legacy System Modernization
Edge computing manufacturing strategies that connect plant-floor execution with cloud analytics factory services describe architectures where real-time control happens near machines, while data is aggregated centrally for analysis, AI and optimization, allowing companies to modernize operations without discarding existing automation assets or disrupting production. That approach is reshaping how manufacturers think about legacy system modernization. Instead of planning sweeping rip-and-replace projects, operations teams can introduce a modern manufacturing execution platform that spans operational technology and information technology. Execution engines at the edge keep production running with predictable, low-latency control, even during network interruptions. At the same time, cloud environments create a shared data layer for analytics, AI model training and enterprise visibility. The result is a gradual upgrade path that respects long-lived PLCs and control systems, while opening the door to autonomous workflows, AI-driven optimization and software-defined automation across plants and lines.
Rockwell’s FactoryTalk Resilient Edge: Unifying OT and IT
Rockwell Automation’s FactoryTalk Resilient Edge is designed as a single manufacturing execution platform that brings machines, people and production systems into one execution layer. Built on FactoryTalk Optix and connected with Plex MES, it delivers low-latency edge computing manufacturing capabilities alongside cloud analytics factory functions for AI training and enterprise orchestration. Operations continue even if connectivity drops, thanks to real-time edge execution with embedded business logic. The platform standardizes plant models, connectivity and intelligence so manufacturers can deploy advanced capabilities as part of everyday infrastructure rather than isolated pilots. Rockwell highlights that the system’s shared production model, interoperable connectivity and cloud-scale analytics help “eliminate the divide between Operational Technology (OT) and Information Technology (IT), dramatically reducing the complexity of deploying and evolving modern manufacturing operations.” By centralizing monitoring and supporting modular scalability, the architecture cuts integration effort and lifecycle cost while supporting phased modernization strategies.
Schneider Electric and HPE: Modernization Without Disruption
Schneider Electric’s modernization service with HPE takes a different but complementary path to legacy system modernization. It combines EcoStruxure Automation Expert software with HPE’s SimpliVity hybrid cloud platform to help manufacturers move toward software-defined automation while continuing to use installed PLCs and distributed control systems. According to Schneider Electric, the service lets customers “modernize aging automation systems without replacing existing infrastructure or disrupting operations.” Infrastructure from HPE handles compute, storage and data protection; EcoStruxure Automation Expert delivers open, software-defined control; and Schneider Electric adds consulting, migration, cybersecurity and lifecycle management. Because the platform is based on open automation standards, automation software can run across compatible hardware rather than locking plants into one vendor’s ecosystem. Schneider Electric stresses that the model also shifts spending from large upfront projects to ongoing operational expenditure, aligning automation upgrades with evolving AI-driven needs, including generative AI, autonomous agents and AI-powered robotics.
Manufacturing Execution Platforms as the OT–IT Bridge
The Rockwell and Schneider Electric initiatives highlight how the manufacturing execution platform is becoming the practical bridge between OT and IT. In Rockwell’s case, FactoryTalk Resilient Edge supplies a unified execution layer that ties plant models, connectivity and business logic directly into cloud analytics factory environments and AI workflows. Schneider Electric’s software-defined control stack pushes OT logic into an IT-friendly, open software architecture while keeping existing controllers in place. In both approaches, edge computing manufacturing components handle real-time decisions near equipment, and cloud layers provide scalable analytics, AI training and orchestration. This separation of concerns supports resilient operations: if network or cloud services fail, edge execution persists; when they are available, plants gain richer insights and optimization. By reducing integration complexity and supporting phased adoption, these platforms offer a realistic route to legacy system modernization that does not sacrifice uptime or previously capitalized automation investments.
