Join us for an online workshop, where we'll build an event-driven, streams-optimized Kafka-based Java application that uses the Reactive Messaging APIs and we will deploy it on Red Hat® OpenShift® on IBM Cloud®.

Kafka provides a framework for analyzing streaming data, which is highly scalable and offers high performance. Kafka is a distributed system, which reduces downtime and also allows it to handle high-velocity and high-volume data. The reactive programming paradigm is a key skill for Apache Kafka-centric applications.

🎓 What you will learn
- In-line filter and transform events
- Connect, split, and aggregate streams to streams.

👩‍💻 Who should attend
- Developers and anyone interested in Java, Quarkus, Microservices and Red Hat® OpenShift®

☑️ Prerequisites
- Sign up for your IBM Cloud account – https://ibm.biz/BdfJXM
- Register for the live stream and access the replay – https://www.crowdcast.io/e/reactivejavaopenshift

😎 Next Steps
- Try out the lab for Creating reactive microservices using MicroProfile reactive messaging

🎙️ Speakers
- Sbusiso Mkhombe, IBM Developer Advocate, South Africa – https://www.linkedin.com/in/sbusisomkhombe/
- Frans Mathapo, IBM Systems Operations Support Specialist, South Africa – https://www.linkedin.com/in/noko-frans-mathapo/

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https://developer.ibm.com/terms/ibm-developer-terms-of-use/

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