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There is a growing trend for enterprise-level Internet of Things (IoT)applications requiring real-time horizontally scalable data processingplatforms. Real-time processing platforms receiving data streams from sensornetworks (e.g., autonomous and connected vehicles, smart security forbusinesses and homes, smartwatches, fitness trackers, and other wearables)require distributed MQTT brokers. This case study presents an IoT datastreaming testbed platform prepared for the Czech Post. The presented platformhas met the throughput requirement of 2 million messages per 24 hours(comprising SMS and emails). The tested MQTT broker runs on a single virtualnode of a horizontally scalable testbed platform. Soon the Czech Post willmodernise its eServices to increase package deliveries aligned with eCommerceand eGovernment demands. The presented testbed platform fulfils allrequirements, and it is also capable of processing thousands of messages persecond. The presented platform and concepts are transferable to healthcaresystems, transport operations, the automotive industry, and other domains suchas smart cities.

Designing a Real-Time IoT Data Streaming Testbed for Horizontally Scalable Analytical Platforms: Czech Post Case Study