## StreamBridge API and Avro
This sample demonstrates 3 components as functions.
1. Supplier function that generates a `Sensor` which is an Avro object.
2. Consumer function that receives the sensor and forward to a destination using the `StreamBridge` API.
3. Another Consumer function that receives the sensor from the destination where `StreamBridge` sent in step #2.
See link:src/main/java/com/example/stream/bridge/avro/StreamBridgeAvroApplication.java[StreamBridgeAvroApplication] for more details.
All of these components are using native encoding (Serialization) by relying on the avro serializers provided by Confluent.
Thus Spring Cloud Stream will not try to perform any data conversions.
### Steps to run the application
1. Make sure you have Kafka running (the expectation is that you have it running on default ports).
2. Run Confluent Schema Registry (Again use default port).
3. Run this application.
4. You should see the console output getting printed from the second consumer above.
The supplier generates a new Sensor every 10 seconds.
See the link:src/main/resources/application.properties[configuration] for more details.
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