Event Streams & Data Rapids: Harnessing the Full Power of Messaging Platforms.
summary
Builds three small apps — a supplier source that polls ADS‑B aircraft positions, a function processor that maps full position records to a compact essentialAircraft record, and a consumer sink that logs events. Uses Spring Cloud Stream with RabbitMQ and Kafka binders, shows live switching between Rabbit and Kafka and a mixed Rabbit→Kafka pipeline, and mentions adding the Azure Event Hubs binder for global scale. Demo runs end‑to‑end with minor hiccups but succeeds.
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chapters (12)
- 0:00Introduction and context
- 2:52Why use messaging platforms
- 10:57Spring Cloud Stream benefits
- 13:47Demo setup overview
- 18:21Building the source application
- 21:11Coding the processor
- 27:50Implementing the sink
- 33:32Running the demo
- 37:07Switching messaging platforms
- 40:28Mixing RabbitMQ and Kafka
- 40:50Azure Event Hubs integration
- 41:33Additional resources and wrap-up
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