How to Convert a Docker Container to Image

Introduction

Docker provides the docker commit command, which allows you to create a new image from the current state of an existing container. Converting a Docker container to an image is useful when you want to preserve the current state of a container and reuse it later. Docker provides the docker commit command to create a new Docker image from an existing container. In this guide, we will explain how to convert a Docker container to an image, tag the newly created image, and verify it.

Prerequisites

Before you begin, ensure that:

  • Docker is installed and running on the server.
  • You have a running or stopped Docker container that you want to convert into an image.
  • Sufficient disk space is available to create and store the new Docker image.

IMPLEMENTATION

Step 1: List Available Containers

View all running containers by executing the following command:

docker ps

To view both running and stopped containers, use:

docker ps -a

Step 2: Create an Image from the Container

Use the docker commit command to create a new image:

docker commit <container_name_or_id> <image_name>:<tag>
Example:  docker commit test-container myimage:v1

Docker creates a new image based on the current state of the specified container.

Step 3: Verify the Image

Confirm that the image has been created successfully:

docker images

Conclusion

The docker commit command provides a simple way to convert a Docker container into a reusable image while preserving its current state. This method is useful for creating quick snapshots, backups, or sharing customized environments. However, for production deployments and long-term maintenance, it is recommended to use a Dockerfile to build images in a consistent, repeatable, and version-controlled manner.

Naveen Prasad

Naveen Prasad has been associated with Pheonix Solutions for the past 2.5 years as a DevOps Engineer. His responsibilities are focused on cloud infrastructure, Linux server administration, Docker, CI/CD, monitoring, backups, and security. Automation, infrastructure troubleshooting, and continuous learning of new technologies are pursued to support the development of reliable, secure, and scalable systems.

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