When the Line Drifts: A Real-Time Decision Architecture for Manufacturing

Manufacturers collect enormous amounts of operational data, yet a timely decision often depends on more than a live sensor reading. Teams need to know which product was running, which batch was affected, when a change began, what happened on the line, and whether the issue is still developing. That context may be spread across machines, historians, MES, quality systems, and maintenance records.

Using a quality-drift scenario, Gregor Bauer, VP Customer Engineering at CrateDB, will walk through an architecture for bringing these signals together while production is still running. He’ll show where a real-time analytics layer fits alongside existing operational systems, how to handle changing data and high-cardinality assets, and how to support both immediate investigation and historical analysis.

The session will connect architecture decisions to operational outcomes: faster detection and investigation, clearer ownership of the next action, and a practical way to assess potential effects on scrap, yield, and downtime. Attendees will leave with a framework for choosing a first use case, defining the required decision time, and evaluating whether their current data architecture can meet it.

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