Wherever possible, we recommend that you base your image on an appropriate
upstream image using the FROM
statement. This ensures your image can easily
pick up security fixes from an upstream image when it is updated, rather than
you having to update your dependencies directly.
In addition, use tags in the FROM
instruction (for example, rhel:rhel7
) to
make it clear to users exactly which version of an image your image is based on.
Using a tag other than latest
ensures your image is not subjected to breaking
changes that might go into the latest
version of an upstream image.
When tagging your own images, we recommend that you try to maintain backwards compatibility within a tag. For example, if you provide an image named foo and it currently includes version 1.0, you might provide a tag of foo:v1. When you update the image, as long as it continues to be compatible with the original image, you can continue to tag the new image foo:v1, and downstream consumers of this tag will be able to get updates without being broken.
If you later release an incompatible update, then you should switch to a new tag, for example foo:v2. This allows downstream consumers to move up to the new version at will, but not be inadvertently broken by the new incompatible image. Any downstream consumer using foo:latest takes on the risk of any incompatible changes being introduced.
We recommend that you do not start multiple services, such as a database and SSHD, inside one container. This is not necessary because containers are lightweight and can be easily linked together for orchestrating multiple processes. {product-title} allows you to easily colocate and co-manage related images by grouping them into a single pod.
This colocation ensures the containers share a network namespace and storage for communication. Updates are also less disruptive as each image can be updated less frequently and independently. Signal handling flows are also clearer with a single process as you do not have to manage routing signals to spawned processes.
Many images use wrapper scripts to do some setup before starting a process for the software being run. If your image uses such a script, that script should use exec
so that the script’s process is replaced by your software. If you do not use exec
, then signals sent by your container runtime will go to your wrapper script instead of your software’s process. This is not what you want, as illustrated here:
Say you have a wrapper script that starts a process for some server. You start your container (for example, using podman run -i
), which runs the wrapper script, which in turn starts your process. Now say that you want to kill your container with CTRL+C
. If your wrapper script used exec to start the server process, podman
will send SIGINT to the server process, and everything will work as you expect. If you didn’t use exec in your wrapper script, podman
will send SIGINT to the process for the wrapper script and your process will keep running like nothing happened.
Also note that your process runs as PID 1 when running in a container. This means that if your main process terminates, the entire container is stopped, killing any child processes you may have launched from your PID 1 process.
See the "Docker and the PID 1 zombie reaping problem" blog article for additional implications. Also see the "Demystifying the init system (PID 1)" blog article for a deep dive on PID 1 and init systems.
All temporary files you create during the build process should be removed. This
also includes any files added with the ADD
command. For example, we strongly
recommended that you run the yum clean
command after performing yum install
operations.
You can prevent the yum
cache from ending up in an image layer by creating
your RUN
statement as follows:
RUN yum -y install mypackage && yum -y install myotherpackage && yum clean all -y
Note that if you instead write:
RUN yum -y install mypackage RUN yum -y install myotherpackage && yum clean all -y
Then the first yum
invocation leaves extra files in that layer, and these
files cannot be removed when the yum clean
operation is run later. The extra
files are not visible in the final image, but they are present in the underlying
layers.
The current container build process does not allow a command run in a later layer
to shrink the space used by the image when something was removed in an earlier
layer. However, this may change in the future. This means that if you perform an
rm
command in a later layer, although the files are hidden it does not reduce
the overall size of the image to be downloaded. Therefore, as with the yum
clean
example, it is best to remove files in the same command that created
them, where possible, so they do not end up written to a layer.
In addition, performing multiple commands in a single RUN
statement reduces
the number of layers in your image, which improves download and extraction time.
The container builder reads the Dockerfile
and runs the instructions from top to
bottom. Every instruction that is successfully executed creates a layer which
can be reused the next time this or another image is built. It is very important
to place instructions that will rarely change at the top of your
Dockerfile
. Doing so ensures the next builds of the same image are
very fast because the cache is not invalidated by upper layer changes.
For example, if you are working on a Dockerfile
that contains an ADD
command to install a file you are iterating on, and a RUN
command to yum
install
a package, it is best to put the ADD
command last:
FROM foo RUN yum -y install mypackage && yum clean all -y ADD myfile /test/myfile
This way each time you edit myfile and rerun podman build
or docker build
, the system reuses
the cached layer for the yum
command and only generates the new layer for the
ADD
operation.
If instead you wrote the Dockerfile
as:
FROM foo ADD myfile /test/myfile RUN yum -y install mypackage && yum clean all -y
Then each time you changed myfile and reran podman build
or docker build
, the ADD
operation would invalidate the RUN
layer cache, so the yum
operation must be
rerun as well.
The EXPOSE instruction makes a port in the container available to the host system and other containers. While it is possible to specify that a port should be exposed with a podman run
invocation, using the EXPOSE instruction in a Dockerfile
makes it easier for both humans and software to use your image by explicitly declaring the ports your software needs to run:
-
Exposed ports will show up under
podman ps
associated with containers created from your image -
Exposed ports will also be present in the metadata for your image returned by
podman inspect
-
Exposed ports will be linked when you link one container to another
It is good practice to set environment variables with the ENV
instruction.
One example is to set the version of your project. This makes it easy for people
to find the version without looking at the Dockerfile
. Another example is
advertising a path on the system that could be used by another process, such as
JAVA_HOME
.
It is best to avoid setting default passwords. Many people will extend the image and forget to remove or change the default password. This can lead to security issues if a user in production is assigned a well-known password. Passwords should be configurable using an environment variable instead.
If you do choose to set a default password, ensure that an appropriate warning message is displayed when the container is started. The message should inform the user of the value of the default password and explain how to change it, such as what environment variable to set.
It is best to avoid running sshd in your image. You can use the podman exec
or docker exec
command to access containers that are running on the local host. Alternatively,
you can use the oc exec
command or the oc rsh
command to access containers that are running on the {product-title} cluster.
Installing and running sshd in your image opens up additional vectors for
attack and requirements for security patching.
Images should use a volume for persistent data. This way {product-title} mounts the network storage to the node running the container, and if the container moves to a new node the storage is reattached to that node. By using the volume for all persistent storage needs, the content is preserved even if the container is restarted or moved. If your image writes data to arbitrary locations within the container, that content might not be preserved.
All data that needs to be preserved even after the container is destroyed must
be written to a volume. Container engines support a readonly
flag for
containers which can be used to strictly enforce good practices about not
writing data to ephemeral storage in a container. Designing your image around
that capability now will make it easier to take advantage of it later.
Furthermore, explicitly defining volumes in your Dockerfile
makes it easy
for consumers of the image to understand what volumes they must define when
running your image.
See the Kubernetes documentation for more information on how volumes are used in {product-title}.
Note
|
Even with persistent volumes, each instance of your image has its own volume, and the filesystem is not shared between instances. This means the volume cannot be used to share state in a cluster. |
-
Docker documentation - Best practices for writing Dockerfiles
-
Project Atomic documentation - Guidance for Container Image Authors