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A real-time control tower that streams events into a lakehouse and surfaces live KPIs, anomaly alerts, and sub-second dashboards for the whole operation.
Concept build · illustrative
What it does
Streams operational events into a lakehouse and renders live dashboards, so teams watch throughput, latency, and health as it happens instead of in yesterday's report.
How it works
Event streams land through Kafka or Event Hubs, get processed in Spark or Flink, and persist to a Delta lakehouse, with anomaly detection driving alerts to the right team.
Why it matters
Problems get caught in seconds, not hours, and the same governed data powers both real-time ops and historical analytics.
Built with
Need real-time visibility?
One free call, we'll scope it in an AI Adoption Sprint.
