Service
Real-time data from machines that never stop reporting.
Continuous telemetry is a different problem from a busy website. The load never drops, late and duplicate readings are normal, and the answer people need is not the raw number but whether something is wrong.
What this involves
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Ingestion that survives the real world
Devices go offline, clocks drift, the same reading arrives twice, a batch shows up an hour late. The pipeline has to absorb all of it without corrupting what is already stored.
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Time-series storage that stays fast as it grows
Retention and aggregation configured from the start — raw readings for the recent window, rolled-up data beyond it. TimescaleDB where PostgreSQL alone would not hold the shape.
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Live dashboards over WebSockets
Reverb on the server, Echo in the browser. Screens that update themselves, so nobody sits there pressing reload during an incident.
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Alerting that people still trust after six months
The hard part is not sending alerts, it is not sending the ones that do not matter. Thresholds tied to what an operator would actually act on.
Where this stops being our work
We do not do firmware, and we do not select your hardware. Our responsibility starts where the device emits data and ends where a person makes a decision with it.
Is this the problem you have?
If it is adjacent rather than exact, say so anyway — the useful conversations usually start that way.