Ingestion pipeline
Continuous high-frequency sensor streams handled without loss, with protocol-level quirks isolated at the edge.
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Case study · Gubras
Hearing machine failure before it happens.
Real-time monitoring and predictive maintenance software for industrial equipment: high-volume vibration data, protocol ingestion, live dashboards, and early fault signals.
Real-timesensor pipeline
High-volumevibration data
Earlyfault signals
Liveoperator dashboards
The problem
When a compressor fails, it fails expensively.
Industrial equipment rarely fails without warning — the warning is just buried in vibration patterns no human is watching. The job: ingest continuous high-frequency sensor streams from equipment protocols, store them efficiently, surface live condition dashboards, and raise maintenance signals early enough to schedule repair instead of suffering downtime.
Architecture
From sensor to signal.
What was engineered
The load-bearing parts.
Storage strategy
Time-series storage shaped for the read patterns dashboards and analysis actually use — not just raw dumping.
Operator dashboards
Live condition views engineers trust at a glance: trends, thresholds, and equipment state in one place.
Fault signaling
Early-warning logic that turns vibration patterns into maintenance signals with actionable lead time.
Screens
The system in use.
Data-heavy system on your roadmap?
Ingestion, dashboards, and the operational layer — mapped before a line of code.