Kafka-based Communication you own this product

basic knowledge of messaging concepts
skills learned
produce data to Kafka using Kafka basic producer • leverage Quarkus Dev Services to spin up a Kafka environment • produce data using Quarkus SmallRye Reactive Messaging extension • consume data from Kafka to test the producer’s behavior
Daniel Petisme
1 week · 6-8 hours per week · INTERMEDIATE

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Enter course descriptionChill+, the nextgen streaming platform you work for, is scaling out its Kubernetes cluster to meet the demands of its increasing popularity. As a software engineer, your job is to devise a plan for managing the company’s infrastructure costs which are rising as fast as its success. Your solution is to reduce resource consumption by implementing crucial interservice communication. To make this communication asynchronous, which provides the benefit of decoupled request/response temporality while improving communication performance, you’ll use a Kafka producer to integrate with another service, and you’ll use Quarkus SmallRye Reactive Messaging Kafka Connector to produce and consume data. When you’re done, Chill+’s catalog service will provide quicker, more accurate recommendations to its customers while decreasing Chill+’s infrastructure costs.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Daniel Petisme

Daniel Petisme has an engineering degree in IT, and he’s been mixing technical expertise and innovation at Michelin for the past ten years. He joined Confluent in March 2021 as a customer success architect providing support and guidance about Kafka-related technologies. He’s a strong believer in open source, and he channels his passion for learning and sharing knowledge by teaching several software-related courses to IT engineers, and co-organizing local technical events. He’s a part of the JHipster and Vert.x core team and actively contributes to Kafka and Quarkus.


This liveProject is for software engineers with basic experience with cloud-native patterns and building Java applications. To begin these liveProjects you’ll need to be familiar with the following:

  • Basic understanding of using Maven to build a Java-based application
  • Basic understanding of Docker containers
  • Basic understanding of Apache Kafka protocol
  • Develop small API-oriented applications using Java frameworks (Spring, Micronaut, Jakarta EE, Vert.x)
  • Use Quarkus CDI annotations (@ApplicationScoped, @Produces, @Inject)
  • Develop Java tests using JUnit, Mockito, and test containers
  • Ability to connect to a Apache Kafka cluster and read/write from/to a topic


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