== Spring Cloud Stream Multibinder Application with two Kafka clusters and dynamic destinations
This example shows how to run a Spring Cloud Stream application with the same binder type configured for two separate Kafka clusters.
It also demonstrates the usage of dynamic destinations with multiple binders.
## Running the application
Bring up two separate Kafka Clusters with dedicated Zookeeper ensemble for each one.
From the root of the app:
* `./mvnw clean package`
To run the example, command line parameters for the Kafka clusters must be provided.
In the following example, we assume that there are two clusters provided, on the localhost ports `9092` and `9093` respectively.
```
java -jar target/multi-binder-dynamic-destinations-0.0.1-SNAPSHOT.jar --kafkaBroker1=localhost:9092 --kafkaBroker2=localhost:9093
```
In the application, we are consuming from two different topics and check for some conditions.
Based on the conditions, it dynamically sends data to certain destinations.
Go through the applicaion.yml and change the topic names as need be before running the application or provide them as commandline arguments.
Try to produce data into both of the input topics on the first cluster and consume them on the same topics on the second cluster.
Check in the application's logic to see what text it expects as input.
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