Overview :-

Docker has become an essential tool for developers and system administrators, allowing for consistent and portable application deployment. One of the key aspects of working with Docker is publishing images to registries. This process, while straightforward, can be repetitive and time-consuming. In this post, we’ll explore how a single shell script can simplify and automate the Docker image publishing process, saving you time and reducing the potential for errors.

Prerequisites :-

Before we dive into the script, make sure you have the following in place:

Docker installed on your system Access to a Docker registry (such as Docker Hub or a private registry)
* Basic knowledge of shell scripting
* A Docker image you want to publish

Procedure :-

Step 1: Create the Shell Script

• Let’s start by Configuring your Docker Hub or Remote Repository credentials in your system.

• Next create a new shell script file. You can name it publish_docker_image.sh or any other name you prefer.

• Next Configure your Docker Hub credentials in your system.

Step 2: Write the Script

Create a script file in your favorite text editor and add the following content:

#!/bin/bash
set -e

IMAGE_NAME="mahira-docker"
REMOTE_REGISTRY="Your Remote Registry (e.g Ecr Repository)"

push_image() {
    IMAGE_NAME=$1
    REMOTE_IMAGE="${REMOTE_REGISTRY}/${IMAGE_NAME}"

    echo "Publishing image. IMAGE=$REMOTE_IMAGE"

    if [ ! -z "$VERSION" ]; then
        docker tag $IMAGE_NAME $REMOTE_IMAGE:latest
        docker push $REMOTE_IMAGE:latest
    fi
 }
# Push images
push_image $IMAGE_NAME

• Replace your Image name and remote registry in the Script file.

Step 3: Use the Script

To use the script, simply run it with the required arguments:

sh publish_docker_image.sh

This command will:
1. Tag the image for the specified registry (myregistry.com)
2. Push the image to the registry

Conclusion :-

By using this simple shell script, you can significantly streamline your Docker image publishing workflow. It reduces the number of manual steps, minimizes the chance of errors, and saves valuable time. As you become more comfortable with the script, you can expand its functionality to suit your specific requirements, making your Docker workflow even more efficient.