Edge vs Cloud for Industrial Data: Where Should You Process Your Manufacturing Data?
The edge vs. cloud debate in industrial IoT has been argued for years, and both sides have valid points. Edge advocates emphasize latency, reliability, and bandwidth costs. Cloud advocates point to scalability, advanced analytics, and reduced on-site infrastructure. The reality — as experienced by anyone who's actually deployed IIoT in a manufacturing environment — is that the answer is almost always "both."
But "both" isn't helpful without specifics. Which data should be processed at the edge? What belongs in the cloud? How should the two layers communicate? And what does this architecture actually look like when you're connecting PLCs on a factory floor to AI-powered analytics?
This guide provides practical answers for manufacturing engineers and plant managers who need to make architecture decisions without a PhD in distributed systems.