Don't forgot to put a star on this.

If you want to pull my image from docker hub, you can use the following command:

For Python Docker Image

docker pull 0prashantyadav0/python-docker-demo:0.0.1.RELEASE
docker run -d -p 8000:8000 0prashantyadav0/python-docker-demo:0.0.1.RELEASE

For Node Docker Image

docker pull 0prashantyadav0/node-docker-demo:0.0.1.RELEASE
docker run -d -p 3000:3000 0prashantyadav0/node-docker-demo:0.0.1.RELEASE

Creating Custom Docker Images

This section serves as a comprehensive reference for building tailored Docker images using the current repository as a foundation. By following these steps, you'll be equipped to create images that encapsulate your unique application requirements:

1. Prerequisites:

• Docker Installation: Ensure Docker is installed and running on your system. Refer to the official Docker documentation for installation instructions specific to your operating system: https://docs.docker.com/engine/install/
• Dockerfile Familiarity: Possess a basic understanding of Dockerfiles, the text files defining image creation instructions. A wealth of resources are available online to delve deeper into Dockerfiles: https://docs.docker.com/reference/dockerfile/

2. Building Your Image:

Navigate to the root directory of your project or to the directory containing your Dockerfile using your terminal. Then, execute the following command to initiate the image building process:

docker build -t <username>/<image-name>:version .

Explanation:

• docker build: This command triggers the Docker image building process.
• -t <username>/<image-name>:version:
  • <username>: Replace this with your Docker Hub username or a private registry address.
  • <image-name>: Provide the desired name for your image. Choose a descriptive and meaningful name.
  • :version: Specify a version tag for your image. You can utilize a versioning scheme that aligns with your project's release cycle (e.g., 0.1.0, 1.2.3-beta).

3. (Optional) Tagging and Pushing (for Sharing):

If you intend to share your image with others on Docker Hub or a private registry, you'll need to tag and push it. Here's the process:

a. Tagging:

• Assign a more specific tag (e.g., latest) using the docker tag command:

docker tag <username>/<image-name>:version <username>/<image-name>:latest

b. Pushing (Assuming Docker Hub Authentication):

• Log in to Docker Hub using the docker login command before pushing:

docker login

• Push the image to your repository:

docker push <username>/<image-name>:version
docker push <username>/<image-name>:latest

4. Running the Container:

Once your image is built, you can create a container from it and execute your application within it. Here's the command, assuming your Dockerfile exposes port 8000:

docker container run -d -p 8000:8000 <username>/<image-name>:version

Explanation:

• docker container run: This command launches a container based on the specified image.
• -d: This option runs the container in detached mode, allowing you to interact with your terminal promptly after starting the container.
• -p 8000:8000: This option maps the container's port 8000 (exposed by your Dockerfile) to port 8000 on your host machine. This enables you to access your application from the host at http://localhost:8000/ (assuming your application listens on this port).

5. Managing Containers:

Listing Running Containers:

docker container ls

This command displays all running containers on your system, providing details like container IDs, images, ports, and names (if assigned).

Stopping a Container:

docker stop <container_name_or_id>

This command gracefully stops a running container. Replace <container_name_or_id> with the name you assigned to the container (if any) or its container ID. You can find container IDs from the output of docker container ls.

Additional Considerations:

• Dockerfile Customization: Adapt the Dockerfile instructions within this repository to cater to your specific application's needs. This may involve installing required dependencies, copying your application code, and exposing the appropriate ports.
• Best Practices: Refer to Docker best practices for creating efficient and secure images. Explore resources like the Docker documentation for in-depth guidance: https://docs.docker.com/

By following these steps and leveraging the provided explanations, you'll be well-equipped to construct custom Docker images for your projects!