Boost Your DevOps Skills with this Beginner’s Docker Tutorial

Boost Your DevOps Skills with this Beginner’s Docker Tutorial
As technology keeps evolving, developers and IT professionals are always on the lookout for ways to make their work more efficient, streamlined, and effective. DevOps is one such method that has gained a lot of popularity in recent years. It allows developers and operations roles to work together to create, test, and deploy software seamlessly.

When it comes to DevOps, Docker is a game-changer. It is one of the most popular containerization platforms that can help speed up the development process by creating portable, self-contained environments that can run applications reliably across various hardware and software platforms.

If you are a beginner in DevOps, you may be wondering where to start with Docker. In this article, we will guide you through a beginner’s Docker tutorial.

Step 1: Install Docker

Before you can get started using Docker, you will need to install the platform on your computer. Docker is compatible with Windows, MacOS, and Linux, so you can easily download the version that works best for your operating system.

Step 2: Build Your First Docker Image

Once you have Docker installed, it’s time to start building your first Docker image. An image is a lightweight, standalone, executable package that includes everything needed to run an application, including the code, runtime, libraries, environment variables, and system tools.

To create your first image, you will need to write a Dockerfile. This is a text file that contains all the instructions needed to build your image. A simple Dockerfile might look something like this:

# Use an official Python runtime as a parent image
FROM python:3.7-slim

# Set the working directory to /app

# Copy the current directory contents into the container at /app
COPY . /app

# Install any needed packages specified in requirements.txt
RUN pip install –trusted-host -r requirements.txt

# Make port 80 available to the world outside this container

# Define environment variable

# Run when the container launches
CMD [“python”, “”] “`

Once you have written your Dockerfile, use the following command to build your image:

docker build -t my_image:latest .

This command tells Docker to build a new image named `my_image` using the instructions in the Dockerfile located in the current directory (`.`). The `latest` tag is used to identify the version number of the image.

Step 3: Run Your Docker Image

Now that you have built your Docker image, the next step is to run it and see it in action. Once again, you will use a command-line command to do this. Just type:

docker run -p 4000:80 my_image

This command tells Docker to run the `my_image` image you just created. It also maps port 4000 on your host machine to port 80 inside the container, allowing you to access the application running inside the container through your web browser.

Step 4: Share Your Docker Image

Sharing your Docker image with team members, colleagues, or other stakeholders is easy. Simply use the `docker push` command to upload your image to a registry such as Docker Hub.

docker push my_image

This command tells Docker to push your `my_image` image to the default registry provided by Docker Hub.


Docker is one of the most important tools for DevOps, and this beginner’s tutorial provides a great starting point for any developer or IT professional. By following these steps, you can build, run, and share Docker images with ease, helping you boost your skills in the world of DevOps and containerization.
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