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Developing a stream processing application with Apache Kafka and Quarkus by Ozan Gulp & Escoffier
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Apache Kafka is the de-facto standard for high-performance data streaming applications. Such applications are infrequently about pure message processing. They often need to integrate Kafka messages with a remote endpoint, persist messages to a data store, or relay them to a third-party service.
This talk presents how Quarkus, in combination with MicroProfile Reactive Messaging, lets you build Kafka-based event-driven architectures. We will illustrate the concepts and common patterns using a sample application and show how Quarkus makes the development of event-driven microservices smooth and straightforward while integrating naturally with Quarkus' reactive core. Expect lots of live coding, showcasing live reload, Dev UI, continuous testing, etc.
This talk presents how Quarkus, in combination with MicroProfile Reactive Messaging, lets you build Kafka-based event-driven architectures. We will illustrate the concepts and common patterns using a sample application and show how Quarkus makes the development of event-driven microservices smooth and straightforward while integrating naturally with Quarkus' reactive core. Expect lots of live coding, showcasing live reload, Dev UI, continuous testing, etc.