Arclight IoT Telemetry
Edge-to-cloud telemetry platform monitoring 50,000+ industrial sensors in real time.
What we were brought in to solve
Arclight's 50,000+ industrial sensors across pumping stations, substations and processing plants were sending data into siloed dashboards — each tool covering only a slice. Operators couldn't triage incidents in one place, and engineering changes meant a 6-week vendor cycle for every dashboard tweak.
How we built it
We built a unified telemetry platform on AWS IoT Core. Devices push MQTT telemetry to a Kinesis-fed pipeline, normalised events land in TimescaleDB, and a Next.js operator console surfaces real-time dashboards, alarms and acknowledgment workflows.
A rules engine raises anomalies on the fly and routes alerts to the right on-call group. OTA firmware updates ship via a phased rollout system with automatic rollback if error rates spike on a fleet.
What changed for the business
Measured against the baseline we agreed at kickoff.
What it runs on
Device & Ingest
- AWS IoT Core
- MQTT
- Kinesis
- Lambda
Storage & Analytics
- TimescaleDB
- PostgreSQL
- Grafana
- OpenSearch
Operator UI
- Next.js
- TypeScript
- WebSockets
- Tailwind CSS
What we did on this engagement
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