== What is this app? This application contains two processors, a regular Kafka Streams processor and another one that consumes data from Kafka and produces into Rabbitmq. The example is based on the word count application from the https://github.com/confluentinc/examples/blob/3.2.x/kafka-streams/src/main/java/io/confluent/examples/streams/WordCountLambdaExample.java[reference documentation]. The application receives from Kafka through KStream and output to Kafka through KStream. Then another processor listens from the same topic where the kafka streams processor output data and then it sends data to a Rabbit exchange. There is a convenient test processor provided as part of the application that logs messages from the Rabbit destination. === Running the app: Go to the root of the repository and do: `docker-compose up -d` (This starts both Kafka and Rabbitmq in docker containers) `./mvnw clean package` `java -jar target/kafka-streams-to-rabbitmq-message-channel-0.0.1-SNAPSHOT.jar` Issue the following commands: `docker exec -it kafka-streams-multibinder /opt/kafka/bin/kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic words` On another terminal: `docker exec -it kafka-streams-multibinder /opt/kafka/bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic counts` Enter some text in the console producer (the first terminal above) and watch the output in the console consumer (second terminal). Also watch the console for logging statements from the test consumer that listens from the Rabbit exchange.