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Featured partner: Ness

Build Scalable Transportation Applications Easily with Steel Thread Ready-to-Deploy IaC

Telemetry data collected from freight trucks is streamed in real time to Kafka in Confluent Cloud to provide a vast source for analysis using Confluent’s Flink service and detect trends regarding delivery delays, optimal delivery routes, and other optimization problems that can help identify cost efficiencies and improve customer experience. This use case explores detecting speeding in the fleet of trucks specifically but can be expanded to more complex analysis.

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This use case leverages the following building blocks in Confluent Cloud:

Reference Architecture



Trucks/Warehouses

Trucks continuously deliver messages about vehicle fleet, speed, distance traveled, and load weight.

Compute Nodes

EKS cluster receives the events from the sensors (or this layer could be replaced by an IoT gateway/connector if transformations are not needed), and sends them through the Kafka Cluster for analysis via Flink.

Confluent Cloud

Confluent Cloud hosts the Kafka Cluster and Flink Compute pools that will be used to analyze and aggregate the data.

Resources

Contact Us

Contact Ness to learn more about this use case and get started.