
Confluent and AWS IoT Core together enable real-time processing and automated response to data from billions of connected IoT devices by combining device management, stream processing, and cloud automation.


<div><p>This article demonstrates how to combine AWS IoT Core and Confluent to manage IoT devices and process real-time data at scale.</p><ul><li>AWS IoT Core handles device management, security, and fleet visualization for billions of devices</li><li>Confluent provides real-time stream processing for high-volume IoT data using Apache Kafka</li><li>IoT rules engine routes device messages to Confluent Cloud for processing</li><li>ksqlDB performs real-time analysis, detecting anomalies like high NOx emissions</li><li>AWS Lambda Sink Connector triggers automated responses based on streaming data</li><li>Device Shadow service updates device state to implement corrective actions</li><li>Solution scales to hundreds of thousands of sensors with elastic pricing</li></ul><p>The integrated solution enables continuous monitoring and automated response to IoT device data without infrastructure management.</p></div>


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