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2024 · Logistics · Illustrative
Illustrative delivery example — anonymized patterns from similar engagements, not a named public client case study.
Harbor Fleet Monitor
Client: Logistics operator
Live fleet telemetry, maps, and predictive maintenance alerts from edge devices to operations.
Overview
Sensors were disconnected from the people who needed them. We designed an MQTT ingestion path, time-series storage, and operations dashboards with rule-based alerts. The live map updates in near real time even when devices drop on and off the network.
Challenge
Fragmented device data and slow incident response across a distributed fleet.
Solution
MQTT brokers, TimescaleDB, Node.js services, and a React operations console with Grafana overlays.
Results
- Near real-time map and alerting on healthy links
- One operations view across regions and vehicle types
- Illustrative IoT fleet telemetry engagement
Stack
MQTTTimescaleDBNode.jsReactGrafanaAWS IoT