// Metadata created by nebel
//
// UserStory:

[id="considerations-running-debezium-docker"]
= Considerations for running {prodname} with Docker

This tutorial uses http://docker.com[Docker] and the https://hub.docker.com/u/debezium/[{prodname} container images] to run the ZooKeeper, Kafka, {prodname}, and MySQL services.
Running each service in a separate container simplifies the setup so that you can see {prodname} in action.

[NOTE]
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In a production environment,
you would run multiple instances of each service to provide performance, reliability, replication, and fault tolerance.
Typically, you would either deploy these services on a platform like https://www.openshift.com[OpenShift] or http://kubernetes.io[Kubernetes] that manages multiple Docker containers running on multiple hosts and machines,
or you would install on dedicated hardware.
====

You should be aware of the following considerations for running {prodname} with Docker:

* The containers for ZooKeeper and Kafka are ephemeral.
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ZooKeeper and Kafka would typically store their data locally inside the containers,
which would require you to mount directories on the host machine as volumes.
That way, when the containers are stopped,
the persisted data remains.
However, this tutorial skips this setup -
when a container is stopped, all persisted data is lost.
This way, cleanup is simple when you complete the tutorial.
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[NOTE]
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For more information about storing persistent data,
see the documentation for the https://quay.io/organization/debezium[container images].
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* This tutorial requires you to run each service in a different container.
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To avoid confusion, you will run each container in the foreground in a separate terminal.
This way, all of the output of a container will be displayed in the terminal used to run it.
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[NOTE]
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Docker also allows you to run a container in _detached_ mode (with the `-d` option),
where the container is started and the `docker` command returns immediately.
However, detached mode containers do not display their output in the terminal.
To see the output,
you would need to use the `docker logs --follow --name _<container-name>_` command.
For more information, see the Docker documentation.
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