AppMatic Tech engineers IoT telemetry dashboards for logistics fleets, ingesting live location, engine, and fuel data over MQTT into a time-series store, with alerting and historical trends. Operators track vehicles and spot anomalies from a Node.js and React dashboard. 330+ products shipped since 2017, 5.0 Clutch.
A fleet emits a constant stream of telemetry that is only useful if it lands in a store built for time-series data and surfaces as clear alerts. AppMatic Tech builds the ingestion and dashboard so operators act on live vehicle data rather than raw feeds.
IoT Application Development Stack for Logistics
| Layer | What AppMatic Tech uses |
|---|---|
| Device ingest | MQTT broker, vehicle telematics units |
| Time-series store | TimescaleDB on PostgreSQL |
| Backend | Node.js ingestion and alerting service |
| Dashboard | React live map and telemetry panels |
| Alerts | Threshold and anomaly notifications |
How AppMatic Tech Delivers This
- Model the telemetry: location, engine, fuel, and driver signals.
- Ingest device data over MQTT into a time-series store.
- Build the live map and telemetry panels for operators.
- Add threshold and anomaly alerting.
- Validate against real fleet data and deliver with a support SLA.
Proof: Related AppMatic Tech Build
An IoT telemetry platform AppMatic Tech built to sync real-time data from physical devices.
Frequently Asked Questions
- How does the dashboard ingest fleet telemetry?
- AppMatic Tech ingests vehicle telemetry over MQTT into a TimescaleDB time-series store, so live location, engine, and fuel data is queryable for both real-time views and historical trends.
- Can the dashboard alert on problems?
- Yes. AppMatic Tech builds threshold and anomaly alerting, so operators are notified when a vehicle's metrics move outside expected ranges rather than watching the map continuously.
- What stack powers the telemetry dashboard?
- AppMatic Tech builds the dashboard on a Node.js ingestion and alerting backend, TimescaleDB for time-series storage, and a React front end with a live map and telemetry panels.
Further reading: How to Scale an IoT Platform from 100 to 100,000 Devices: Architecture Decisions That Compound Early