Bright Machines shares an air-gapped factory data-sharing architecture
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Bright Machines has published an architecture that lets customers view real-time data from air-gapped factories without opening inbound access to the factories: at the factory edge, Debezium captures PostgreSQL changes and writes them as Apache Iceberg, which is pushed through a single auditable outbound path and then read in place by Databricks through Unity Catalog federation, so customers get real-time, governed data dashboards. According to the Databricks blog, factory operators still keep local assembly dashboards because they need real-time performance. The proof of concept for this solution was completed by two engineers in about six weeks, and the first customer-visible dashboard went live about two months after the project started.
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- Databricks BlogAir gapped, not data dark: how Bright Machines gives customers live factory dashboards without opening the plant
Bright Machines captures PostgreSQL changes at the factory edge with Debezium, writes them as Apache Iceberg, pushes them out over a single auditable outbound path, and reads them in place in Databricks via Unity Catalog federation, with zero inbound ports to the plant. A row committed on the line is queryable in Databricks in one to two minutes, dashboards refresh every ten minutes, and a heartbeat check detects a broken pipeline in under thirty minutes. The first customer-visible dashboard went live about two months after kickoff, replacing nine loosely coupled services with one governed platform plus one edge path.
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