📜  docker images - Shell-Bash (1)

📅  最后修改于: 2023-12-03 15:00:28.748000             🧑  作者: Mango

Docker Images - Shell/Bash

Introduction

As a programmer, you are probably familiar with the concept of Docker and its importance in modern software development. Docker allows developers to create portable an isolated environments for their applications, making it easier to build, deploy and run their code on different platforms.

One of the key elements of Docker is the concept of images, which are essentially pre-configured templates that can be used to create Docker containers. These images serve as the building blocks for Docker containers and can be customized to suit the specific needs of an application.

In this guide, we will explore the docker images command in Shell/Bash, which is used to list all the Docker images that are currently available on your system.

Usage

The docker images command returns a list of all the Docker images that are present on your system. To use the command, simply open your terminal and type the following:

docker images

This will return a table with information about the images, including the repository name, tag, image ID, size and creation date.

REPOSITORY    TAG       IMAGE ID       CREATED          SIZE
ubuntu        latest    1d622ef86b13   2 weeks ago      72.9MB
alpine        latest    f70734b6a266   2 weeks ago      5.6MB
nginx         latest    1f8a00e0ebf1   2 weeks ago      133MB

You can also use the docker images command with various options to filter or sort the images based on specific criteria.

docker images --filter "dangling=true"

This will return a list of all the Docker images that are not being used by any containers.

Conclusion

The docker images command in Shell/Bash is a powerful tool that allows developers to manage and maintain their Docker images easily. By providing information about the images present in the system, it makes it easier to keep track of the different image versions and reduce unnecessary clutter. With a good understanding of Docker images, developers can leverage the power of Docker to create efficient and portable environments for their applications.

References