confluent-schema-registry

I spinned on my laptop a Kafka in Docker (with docker-compose). After that, created new kafka topic with: kafka-topics --zookeeper localhost:2181 --create --topic simple --replication-factor 1 --partitions 1 (did not create schema in Schema Registry yet). Now trying to produce (based on this example - step 3 - https://docs.confluent.io/4.0.0/quickstart.html ): kafka-avro-console-producer \ --broker-list localhost:9092 --topic simple \ --property value.schema='{"type":"record","name":"myrecord","fields":[{"name":"f1","type":"string"}]}' Entering value: {"f1": "value1"} Error: {"f1": "value1"}

I have a spring application that is my kafka producer and I was wondering why avro is the best way to go. I read about it and all it has to offer, but why can't I just serialize my POJO that I created myself with jackson for example and send it to kafka? I'm saying this because the POJO generation from avro is not so straight forward. On top of it, it requires the maven plugin and an .avsc file. So for example I have a POJO on my kafka producer created myself called User: public class User { private long userId; private String name; public String getName() { return name; } public void setName

I have been trying to deploy Kafka with schema registry locally using Kubernetes. However, the logs of the schema registry pod show this error message: ERROR Server died unexpectedly: (io.confluent.kafka.schemaregistry.rest.SchemaRegistryMain:51) org.apache.kafka.common.errors.TimeoutException: Timeout expired while fetching topic metadata What could be the reason of this behavior? ' In order to run Kubernetes locally, I user Minikube version v0.32.0 with Kubernetes version v1.13.0 My Kafka configuration: apiVersion: v1 kind: Service metadata: name: kafka-1 spec: ports: - name: client port: