The Power of MQTT and Confluent in Fleet Management

This post details the technical challenges of using MQTT for fleet management, specifically its limitations in stream processing and data reprocessing, leading to potential data loss or incompleteness. It proposes combining MQTT with Apache Kafka as a solution, leveraging Kafka Connect with Confluent's MQTT Source and Sink Connectors for bi-directional data flow. The architecture streams telemetry data in real-time, processes it with Confluent's stream processing capabilities, and syncs it to downstream systems like MongoDB Atlas. Key Confluent features highlighted include pre-built connectors, stream processing (ksqlDB), and Schema Registry for data consistency and validation.