Machine data that arrives twice, late, or not at all

The problem

Line telemetry was written straight into the reporting tables. Duplicate messages inflated output figures, and a network drop left gaps nobody noticed until a plant manager questioned a shift total.

The approach

We put an idempotent ingestion layer in front of reporting, keyed on machine and event time, with explicit gap detection that raises rather than interpolating. Reporting now reconciles to the counts the plant already trusted, which is what made adoption possible.