Increasingly, enterprise IT adopts microservices and cloud-native development, resulting in distributed systems populated by event-driven applications (EDA). In this dynamic development environment, many digital leaders are combining Apache Kafka with Kubernetes.

Kafka Streams support powerful stream processing of Kafka events. This processing and analysis of monumental quantities of data on the fly, continuously and concurrently, is where Apache Kafka is truly differentiated from other messaging alternatives. The AMQ streams component improves this messaging by simplifying the complexity of manually operating Kafka. Additionally, the AMQ streams component on Red Hat® OpenShift® delivers Apache Kafka on Kubernetes, equipping enterprise-grade, event-driven architectures to support distributed data streams and stream processing microservices-based applications.

In this webinar, we’ll explore all the components of AMQ streams on Red Hat OpenShift and deploy a sample microservice application to showcase the endless possibility of innovation reinforced by Red Hat OpenShift and Kafka.