anchor.diff:  This makes each message even smaller. For an I/O bound system like Kafka, this means more total throughput of the producers and consumers.
   
   * Avro _Serdes_ (serializers and deserializers) for Kafka producers and consumers.
  -Any Kafka consumer applications that you write to consume change event records can use the Avro Serdes to deserialize the change event records.
  -
  -You can install the Apicurio Registry components into any Kafka distribution and use them with Kafka Connect.
  +Any Kafka consumer applications that you write to consume change event records can use Avro Serdes to deserialize the change event records.
  +
  +To use the Apicurio registry with {prodname},  you must add Apicurio Registry converters and their dependencies to the Kafka Connect container image that you are using for running {prodname}.
   
   [NOTE]
   ====
  
positive.code: 
  To implement Avro serialization of message keys and values, you must build a {prodname} image in which {prodname} uses the Avro converter.  
  
  [source,subs="+attributes"]
  ----
  docker run -it --rm --name apicurio \
      -p 8080:8080 apicurio/apicurio-registry-mem:{apicurio-version}
  ----
  
  . Build a {prodname} image with the Avro converter from this link:https://github.com/debezium/debezium-examples/blob/master/tutorial/debezium-with-apicurio/Dockerfile[Dockerfile]:
  +
  [source]
  
negative.code: * Deploy an link:https://github.com/Apicurio/apicurio-registry[Apicurio API/Schema Registry] instance.
  endif::community[]
  ifdef::product[]
  * Deploy an link:{LinkServiceRegistryGetStart}[Apicurio API/Schema Registry] instance by following the instructions in {NameServiceRegistryGetStart}.
  endif::product[]
  * Install the Avro converter from link:https://repo1.maven.org/maven2/io/apicurio/apicurio-registry-distro-connect-converter/{apicurio-version}/apicurio-registry-distro-connect-converter-{apicurio-version}-converter.tar.gz[the installation package] into Kafka Connect's _libs_ directory or directly into a plug-in directory
  * Configure a Kafka Connect instance with the following property settings: 
  +
  [source,options="nowrap"]
  ----
  