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What is a Docker Image and How to Create?

What is a Docker Image and How to Create?

Docker images bring numerous benefits to businesses, including streamlined deployment, increased portability and scalability, enhanced security, version control, collaboration, and support for DevOps practices. This blog post aims to provide a thorough understanding of what Docker images are, their significance, and how they contribute to the efficiency and scalability of modern software development.

Below are the following topics we are going to discuss:

Kindly go through our Docker Course video to get a better understanding:

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Introduction to Docker Image

Within the realm of containerization, a Docker image holds significant importance as a compact and self-contained software package. It contains the code, runtime environment, libraries, dependencies, and system tools required for seamless execution. Think of it as a blueprint or template for creating Docker containers, which are running instances of applications.

To create a Docker image, a layered file system is employed, and instructions provided in a Dockerfile guide the configuration and setup of the image. This approach allows for the encapsulation of the entire runtime environment and dependencies. This ensures consistency and reproducibility across various environments, such as development, testing, and production.

Docker images possess notable features such as portability, scalability, and isolation. They are platform-agnostic, enabling effortless sharing, deployment, and execution on diverse operating systems and hardware platforms. 

Prerequisites for Docker Image

Here are some key points highlighting the need for Docker images in software development:

Prerequisites for Docker Image
  • Docker Installation: Before creating Docker images, you must have Docker installed on your system. Ensure you’ve downloaded and set up the Docker engine.
  • Docker Hub Account: For storing and sharing Docker images, consider creating an account on Docker Hub, the default image repository. This account allows you to publish and access images.
  • Basic Understanding of Containers: Familiarize yourself with the concept of containers and containerization. Understanding how containers work is essential for building effective Docker images.
  • Linux or Windows OS: Docker runs natively on Linux, and on Windows, it operates within a Linux VM. Ensure you have a compatible operating system for Docker. Docker in Linux containers revolutionizes software development by encapsulating applications and their dependencies into portable, isolated containers.
  • Image Registry (Optional): While Docker Hub is the default registry, you may consider using other container registries like Amazon ECR, Google Container Registry, or others depending on your needs.
  • Text Editor or IDE: To create Dockerfiles, you’ll need a text editor or integrated development environment (IDE) for writing and editing the image build instructions.
  • Command Line Familiarity: A basic understanding of the command-line interface (CLI) is beneficial for running Docker commands and building images efficiently.

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How to Create Docker Image?

Here is a step-by-step guide on how to create a Docker image:

  • Set up the Project: Organize the files and dependencies for your project first. A directory that Docker may access should include your application and any necessary dependencies.
  • Create a Dockerfile: The instructions for creating the Docker image are included in a text file called the Dockerfile. It establishes the environment, adds dependencies, copies files, provides the base image, and configures the runtime. Create a “Dockerfile” file in the project directory using a text editor.
  • Define the Base Image: Within the Dockerfile, explicitly designate the foundational image that will serve as the basis for constructing your own image. It is essential to select a suitable base image that aligns with the specific requirements of your application. For instance, if you are developing a Node.js application, it is recommended to employ the official Node.js base image as the foundation for your Docker image.
  • Set up the Environment: Configure the necessary environment variables within the Dockerfile, such as setting the working directory and exposing network ports if required.
  • Install Dependencies: Use the package manager appropriate for your application’s programming language (e.g., npm for Node.js, pip for Python) to install the required dependencies. Specify the installation commands in the Dockerfile.
  • Copy Files: Utilize the COPY command within the Dockerfile to incorporate your application code and any supplementary configuration files into the Docker image. This ensures the inclusion of all necessary files within the image to facilitate the seamless execution of the application.
  • Build the Docker Image: To initiate the image-building process, access a terminal or command prompt and navigate to the project directory where the Dockerfile is located. Execute the Docker build command to commence the build operation. For instance, employ the command “docker build -t image-name:tag .” to construct the image. The “-t” flag serves to designate the name and tag for the image, while the dot positioned at the end signifies the build context.
  • Test the Docker Image: By launching a container from the image using the Docker run command after the image has been successfully built, you may check it out locally. By doing this step, you may verify that the application is operating correctly in a containerized environment.
  • Push the Docker Image (Optional): If you intend to utilize the image on different systems or distribute it to others, you have the option to push it to a container registry such as Docker Hub. This process involves creating an account on the registry, logging in using the Docker CLI, and utilizing the “docker push” command to upload the image.

These instructions will help you produce a Docker image that contains your application and all of its dependencies. This will enable consistent deployment and execution across various environments.

How to Remove Docker Image?

Here is a guide on how to remove the Docker image:

To remove a Docker image, follow a few simple steps. Here’s a step-by-step process that is easy for learners to understand:

Step 1: List Docker Images

First, you should list all the Docker images available on your system. Open your terminal or command prompt and run the following command:

docker images

It will display a list of Docker images, their repository, tag, image ID, and size.

Step 2: Identify the Image to Remove

Identify the image you want to remove from the list of Docker images. Note down its repository and tag or image ID; you will need this information in the next step.

Step 3: Remove the Image

To remove a Docker image, use thedocker rmicommand followed by the repository and tag or image ID. For example, if the repository is “myimage” and the tag is “latest,” you can run the following command:

docker rmi myimage:latest

If you prefer using the image ID instead, the command would be:

docker rmi <image_id>

Replace<image_id>with the actual image ID of the Docker image you want to remove.

Step 4: Confirm the Removal

After running thedocker rmicommand, Docker will attempt to remove the specified image. If containers use the image, Docker will not remove it and instead display an error message. To force the removal of an image, you can use the ‘-f’ flag:

docker rmi -f myimage:latest

Please note that the -f flag can result in data loss if the image is associated with running containers.

Step 5: Verify Removal

To verify that the Docker image has been successfully removed, you can list the Docker images again by running thedocker images command. The image you removed should no longer appear in the list.

That’s it! You have successfully removed a Docker image from your system.

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How to Rename a Docker Image

Docker provides a set of Commands to rename Docker Image.Here are some commonly used Docker Image Commands:

  • Tag the Image: To rename a Docker image, you can use the docker tag command. For example, to rename an image from old-image:tag to new-image:tag, run docker tag old-image:tag new-image:tag.
  • Check Existing Tags: You can verify the existing image tags using docker images to ensure you are renaming the correct image.
  • Push the Renamed Image: After tagging the image, push it to a registry if needed. For Docker Hub, use docker push new-image:tag.
  • Remove Old Image: Optionally, you can delete the old image if it’s no longer required with docker rmi old-image:tag.
  • Test the Renamed Image: Before using the renamed image in your containers, test it to ensure that it functions as expected.

Docker Image Commands

Docker provides a set of commands for managing Docker images. Here are some commonly used Docker image commands:

  • docker images: Lists all the Docker images available on your local system.
  • docker pull [image_name:tag]: Downloads a Docker image from a remote registry to your local system. For example, “docker pull ubuntu:latest” fetches the latest Ubuntu image.
  • docker build [options] [path]: Builds a Docker image using a Dockerfile located in the specified path. This command is used to create custom images based on your project configuration.
  • docker push [image_name:tag]: Pushes a Docker image from your local system to a remote container registry like Docker Hub. This command requires authentication and permission to upload the image.
  • docker rmi [image_name:tag]: This command serves the purpose of removing images that are no longer needed or are considered unwanted, thus enabling the cleanup of your local Docker environment.
  • docker history [image_name:tag]: Displays the history of a Docker image, showing all the layers and commands that were used to build it.
  • docker save [image_name:tag] > [file.tar]: Saves a Docker image as a tar archive file on your local system. This can be useful for backups or offline distribution.
  • docker load < [file.tar]: Loads a Docker image from a tar archive file into your local Docker environment.

Difference Between Docker Image and Docker Container

Difference Between Docker Image and Docker Container

Here’s a comparison between Docker images and Docker containers in tabular form:

CriteriaDocker ImageDocker Container
PurposeProvides a blueprint or template for creating containers.Represents a running instance of an image.
StateImmutable and read-only.Mutable and can be modified.
CreationBuilt from a Dockerfile using the Docker build command.Created from an image using the Docker run command.
ModifiabilityCannot be modified once created.Can be modified during runtime.
StorageStored on the local system or in a container registry.Not stored as files but as runtime instances.
SharingCan be shared, distributed, and deployed across different systems.Can be shared with others by exporting and importing container snapshots.

How to Push a Docker Image to Dockerhub

Let’s take time to explore Docker Hub’s core concepts before moving on to the process of posting Docker images to Docker Hub.

Docker Hub is like a giant digital storage space specifically designed for Docker containers. Consider it as an extensive collection where you may store your containers and share them with others. Containers are like virtual software packages. These containers can be easily exchanged, stored, and organized online. Your go-to resource for finding, storing, and sharing Docker containers for all types of apps, making your work more efficient and collaborative, is Docker Hub.

Ready to share your Docker images? This section covers how to push them to Docker Hub, the central hub for containerized apps. Streamline your deployment and make your containers accessible to the wider Docker community.

  • Tag Your Image: Ensure you have tagged your Docker image with a name that includes your Docker Hub username and the repository name. For example, docker tag my-image:tag your-docker-hub-username/my-image:tag.
  • Log In to Docker Hub: Use the docker login command to log in to Docker Hub. You will be prompted to enter your Docker Hub credentials.
  • Push the Image: Once logged in, use the docker push command to upload your tagged image to Docker Hub. For instance, docker push your-docker-hub-username/my-image:tag.
  • Check Docker Hub: Visit Docker Hub’s website and log in to your account. You should see your pushed image in the specified repository.

Advantages of Docker Image

Let us take a look at the following advantages offered by Docker Image:

Advantages of Docker Image
  • Consistency: Docker images ensure consistent runtime environments, eliminating compatibility issues and ensuring reliable application execution across different platforms.
  • Reproducibility: It allows for easy replication of the exact environment in which an application was developed and tested, enabling seamless collaboration and consistent results.
  • Scalability: It facilitates scalable application deployments by leveraging container orchestration platforms, allowing for efficient resource utilization and responsiveness to varying workloads.
  • Portability: Docker images are highly portable, enabling easy sharing, distribution, and deployment across different systems, servers, and cloud platforms.
  • Efficiency: Docker images are lightweight and use shared resources, minimizing overhead and maximizing the efficiency of application deployment and execution.

Wrapping Up

Docker images will play a pivotal role in enabling seamless and efficient software deployment across various platforms. With the growing adoption of cloud computing and hybrid/multi-cloud strategies, Docker images will continue to facilitate easy distribution and deployment of applications in diverse environments.

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About the Author

Senior Cloud Computing Associate

Rupinder is a distinguished Cloud Computing & DevOps associate with architect-level AWS, Azure, and GCP certifications. He has extensive experience in Cloud Architecture, Deployment and optimization, Cloud Security, and more. He advocates for knowledge sharing and in his free time trains and mentors working professionals who are interested in the Cloud & DevOps domain.