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Aparent image is the image that yourimage is based on. It refers to the contents of the FROM directive in theDockerfile. Each subsequent declaration in the Dockerfile modifies this parentimage. Most Dockerfiles start from a parent image, rather than a base image.However, the terms are sometimes used interchangeably.

This topic shows you several ways to create a base image. The specific processwill depend heavily on the Linux distribution you want to package. We have someexamples below, and you are encouraged to submit pull requests to contribute newones.

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In general, start with a working machine that is runningthe distribution you'd like to package as a parent image, though that isnot required for some tools like Debian'sDebootstrapopen_in_new,which you can also use to build Ubuntu images.

You can use Docker's reserved, minimal image, scratch, as a starting point forbuilding containers. Using the scratch "image" signals to the build processthat you want the next command in the Dockerfile to be the first filesystemlayer in your image.

While scratch appears in Docker's repository on the hub, you can't pull it,run it, or tag any image with the name scratch. Instead, you can refer to itin your Dockerfile. For example, to create a minimal container usingscratch:

Assuming you built the hello executable example by using the source code at -library/hello-worldopen_in_new,and you compiled it with the -static flag, you can build this Dockerimage using this docker build command:

The docker images command takes an optional [REPOSITORY[:TAG]] argumentthat restricts the list to images that match the argument. If you specifyREPOSITORYbut no TAG, the docker images command lists all images in thegiven repository.

Images that use the v2 or later format have a content-addressable identifiercalled a digest. As long as the input used to generate the image isunchanged, the digest value is predictable. To list image digest values, usethe --digests flag:

When pushing or pulling to a 2.0 registry, the push or pull commandoutput includes the image digest. You can pull using a digest value. You canalso reference by digest in create, run, and rmi commands, as well as theFROM image reference in a Dockerfile.

This will display untagged images that are the leaves of the images tree (notintermediary layers). These images occur when a new build of an image takes therepo:tag away from the image ID, leaving it as : or untagged.A warning will be issued if trying to remove an image when a container is presentlyusing it. By having this flag it allows for batch cleanup.

A Docker image is a file used to execute code in a Docker container. Docker images act as a set of instructions to build a Docker container, like a template. Docker images also act as the starting point when using Docker. An image is comparable to a snapshot in virtual machine (VM) environments.

Docker is used to create, run and deploy applications in containers. A Docker image contains application code, libraries, tools, dependencies and other files needed to make an application run. When a user runs an image, it can become one or many instances of a container.

Docker images have multiple layers, each one originates from the previous layer but is different from it. The layers speed up Docker builds while increasing reusability and decreasing disk use. Image layers are also read-only files. Once a container is created, a writable layer is added on top of the unchangeable images, allowing a user to make changes.

References to disk space in Docker images and containers can be confusing. It's important to distinguish between size and virtual size. Size refers to the disk space that the writable layer of a container uses, while virtual size is the disk space used for the container and the writeable layer. The read-only layers of an image can be shared between any container started from the same image.

A Docker image has everything needed to run a containerized application, including code, config files, environment variables, libraries and runtimes. When the image is deployed to a Docker environment, it can be executed as a Docker container. The docker run command creates a container from a specific image.

Docker images are a reusable asset -- deployable on any host. Developers can take the static image layers from one project and use them in another. This saves the user time, because they do not have to recreate an image from scratch.

A Docker container is a virtualized runtime environment used in application development. It is used to create, run and deploy applications that are isolated from the underlying hardware. A Docker container can use one machine, share its kernel and virtualize the OS to run more isolated processes. As a result, Docker containers are lightweight.

A Docker image is like a snapshot in other types of VM environments. It is a record of a Docker container at a specific point in time. Docker images are also immutable. While they can't be changed, they can be duplicated, shared or deleted. The feature is useful for testing new software or configurations because whatever happens, the image remains unchanged.

A Docker image has many layers, and each image includes everything needed to configure a container environment -- system libraries, tools, dependencies and other files. Some of the parts of an image include:

Docker images get stored in private or public repositories, such as those in the Docker Hub cloud registry service, from which users can deploy containers and test and share images. Docker Hub's Docker Trusted Registry also provides image management and access control capabilities.

Official images are ones Docker produces, while community images are images Docker users create. CoScale agent is an official Docker image that monitors Docker applications. Datadog/docker-dd-agent, a Docker container for agents in the Datadog Log Management program, is an example of a community Docker image.

Users can also create new images from existing ones and use the docker push command to upload custom images to the Docker Hub. To ensure the quality of community images, Docker provides feedback to authors prior to publishing. Once the image is published, the author is responsible for updates. Authors must be cautious when sourcing an image from another party because attackers can gain access to a system through copycat images designed to trick a user into thinking they are from a trusted source.

The concept of a latest image may also cause confusion. Docker images tagged with ":latest" are not necessarily the latest in an ordinary sense. The latest tag does not refer to the most recently pushed version of an image; it is simply a default tag.

With this method, users run a container from an existing Docker image and manually make any needed changes to the environment before saving the image. The interactive method is the easiest way to create docker images. The first step is to launch Docker and open a terminal session. Then use the Docker run command image_name:tag_name. This starts a shell session with the container that was launched from the image. If the tag name is omitted, Docker uses the most recent version of the image. After this, the image should appear listed in results.

This approach requires making a plain text Dockerfile. The Dockerfile makes the specifications for creating an image. This process is more difficult and time-consuming, but it does well in continuous delivery environments. The method includes creating the Dockerfile and adding the commands needed for the image. Once the Dockerfile is started, the user sets up a .dockerignore file to exclude any files not needed for the final build. The .dockerignore file is in the root directory. Next, the Docker build command is used to create a Docker image and an image name and tag are set. Lastly, the Docker images command is used to see the created image.

Docker images are an important concept and tool to know when working within Docker to create applications in containerized environments. Learn more about managing containers and securing Docker images.

A Docker image is a read-only template containing a set of instructions for creating a container that can run on the Docker platform. It provides a convenient way to package up applications and preconfigured server environments, which you can use for your own private use or share publicly with other Docker users. Docker images are also the starting point for anyone using Docker for the first time.

Each of the files that make up a Docker image is known as a layer. These layers form a series of intermediate images, built one on top of the other in stages, where each layer is dependent on the layer immediately below it. The hierarchy of your layers is key to efficient lifecycle management of your Docker images. Thus, you should organize layers that change most often as high up the stack as possible. This is because, when you make changes to a layer in your image, Docker not only rebuilds that particular layer, but all layers built from it. Therefore, a change to a layer at the top of a stack involves the least amount of computational work to rebuild the entire image.

Each time Docker launches a container from an image, it adds a thin writable layer, known as the container layer, which stores all changes to the container throughout its runtime. As this layer is the only difference between a live operational container and the source Docker image itself, any number of like-for-like containers can potentially share access to the same underlying image while maintaining their own individual state.

You can also find them on a small number of third-party services, such as the Google Container Registry. Alternatively, you can use one of your own existing images as the basis for creating new ones.

A typical parent image may be a stripped-down Linux distribution or come with a preinstalled service, such as a database management system (DBMS) or a content management system (CMS). e24fc04721