anchor.diff:  * https://repo1.maven.org/maven2/io/debezium/debezium-connector-mysql/{install-version}/debezium-connector-mysql-{install-version}-plugin.tar.gz[MySQL Connector plugin archive]
   * https://repo1.maven.org/maven2/io/debezium/debezium-connector-postgres/{install-version}/debezium-connector-postgres-{install-version}-plugin.tar.gz[Postgres Connector plugin archive]
   * https://repo1.maven.org/maven2/io/debezium/debezium-connector-mongodb/{install-version}/debezium-connector-mongodb-{install-version}-plugin.tar.gz[MongoDB Connector plugin archive]
  -* https://repo1.maven.org/maven2/io/debezium/debezium-connector-oracle/{install-dev-version}/debezium-connector-oracle-{install-dev-version}-plugin.tar.gz[Oracle Connector plugin archive] (tech preview)
  -* https://repo1.maven.org/maven2/io/debezium/debezium-connector-sqlserver/{install-dev-version}/debezium-connector-sqlserver-{install-dev-version}-plugin.tar.gz[SQL Server Connector plugin archive] (tech preview)
  +* https://repo1.maven.org/maven2/io/debezium/debezium-connector-sqlserver/{install-version}/debezium-connector-sqlserver-{install-version}-plugin.tar.gz[SQL Server Connector plugin archive]
  +* https://repo1.maven.org/maven2/io/debezium/debezium-connector-oracle/{install-version}/debezium-connector-oracle-{install-version}-plugin.tar.gz[Oracle Connector plugin archive] (tech preview)
   
  -If immutable containers are your thing, then check out https://hub.docker.com/r/debezium/[Debezium's Docker images] for Zookeeper, Kafka, and Kafka Connect with the MySQL and MongoDB connectors already pre-installed and ready to go. Our link:http://debezium.io/docs/tutorial[tutorial] even walks you through using these images, and this is a great way to learn what Debezium is all about. You can even link:/blog/2016/05/31/Debezium-on-Kubernetes/[run Debezium on Kubernetes and OpenShift].
  +If immutable containers are your thing, then check out https://hub.docker.com/r/debezium/[Debezium's Docker images] for Zookeeper, Kafka, and Kafka Connect with the MySQL and MongoDB connectors already pre-installed and ready to go. Our link:http://debezium.io/docs/tutorial[tutorial] even walks you through using these images, and this is a great way to learn what Debezium is all about. You can even link:/docs/openshift[run Debezium on OpenShift].
   
   By default, the directory _/kafka/connect_ is used as plugin directory by the Debezium Docker image for Kafka Connect.
   So any additional connectors you may wish to use should be added to that directory.
  
positive.code: 
  == Using a Debezium Connector
  
  To use a connector to produce change events for a particular source server/cluster, simply create a configuration file for the link:/docs/connectors/mysql/#configuration[MySQL Connector] or link:/docs/connectors/mongodb/#configuration[MongoDB Connector], and use the link:https://docs.confluent.io/{confluent-platform-version}/connect/restapi.html[Kafka Connect REST API] to add that connector configuration to your Kafka Connect cluster. When the connector starts, it will connect to the source and produce events for each inserted, updated, and deleted row or document. See the Debezium documentation for the link:/docs/connectors/mysql/[MySQL Connector] and link:/docs/connectors/mongodb/[MongoDB Connector].
  
  == Configuring Debezium Topics
  Debezium uses (either via Kafka Connect or directly) multiple topics for storing data.
  
negative.code: 
  == Using the Debezium Libraries
  
  Although Debezium is intended to be used as turnkey services, all of JARs and other artifacts are available in http://search.maven.org/#search%7Cga%7C1%7Cg%3A%22io.debezium%22[Maven Central].
  
  We do provide a small library so applications can link:/docs/embedded/[embed any Kafka Connect connector] and consume data change events read directly from the source system. This provides a light weight system (since Zookeeper, Kafka, and Kafka Connect services are not needed), but as a consequence it is not as fault tolerant or reliable since the application must manage and maintain all state normally kept inside Kafka's distributed and replicated logs. It's perfect for use in tests, and with careful consideration it may be useful in some applications.
  