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Real-Time Fleet Management
Confluent enables real-time fleet management by streaming, processing, and governing IoT vehicle data, allowing transportation businesses to maximize the efficiency of logistics and maintenance operations.
Deliver Scalable, Reliable, Real-Time Fleet Management Systems
Haulage companies, vehicle rental groups, and taxi firms rely on fleet management systems to ensure the smooth operation of their businesses. With the use of telemetry and telematics, they capture and process geolocation, engine performance, and fuel efficiency data (among other data) from IoT devices in order to better inform their logistics and maintenance programs.
The issue with traditional fleet management systems is that they’re often built with monolithic proprietary applications which are expensive, complex, and hard-to-scale. They risk failure in times of high throughput (e.g., as more IoT data is streamed from ‘live’ vehicles), and prevent a real-time view of the status of a fleet.
An event-driven architecture based on Confluent enables companies to deliver fleet management systems.
Real-time – Vehicle data can be streamed to Confluent from a wide range of IoT sensors and applications, providing a holistic, current status of fleets.
Reliable – Confluent Cloud provides an industry-leading 99.99% uptime availability SLA, ensuring fleet management systems stay online 24/7.
Scalable – Confluent Cloud scales elastically (up to ingress throughputs of multi-GBps on Dedicated Clusters), providing stability in times of peak activity.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud.
Reference Architecture
Data from onboard sensors that the vehicles have is ingested via the HTTP Source Connector or Ably. In Confluent Cloud, stream processing is used to build fleet management applications.
An HTTP Source Connector and Ably Connector writes real-time IoT sensor data to Kafka topics in Confluent Cloud.
Stream processing is used to enrich events with real-time fleet location.
Data is shared downstream with MongoDB, which powers a mobile app, and Snowflake, which is used to analyze areas for fleet optimization.