Dockerizing DevOps: A Python Project Walkthrough

Embark on a journey with me as we explore the heart of Dockerfile in this blog. Unveil its mysteries, grasp its syntax, and see its capabilities in real-world scenarios. We won't just talk theory – we'll embark on a practical journey, deploying a Python app using Dockerfile. Get ready for a hands-on experience that will elevate your DevOps game. Let's unlock the potential of containerization together!


A Dockerfile is a text file containing a set of instructions used to build a Docker image. These instructions define the steps needed to create a containerized application environment, specifying the base image, dependencies, configurations, and commands. Dockerfiles are crucial for automating the image creation process, ensuring consistency, reproducibility, and efficiency in deploying applications within Docker containers.
Dockerfiles are written in a simple syntax that is easy to learn. The basic structure of a Dockerfile is as follows:
FROM <base_image>
# Instructions for building the image
CMD ["command", "args"]

The FROM instruction specifies the base image that the image will be built from. The base image is a Docker image that already contains everything that is needed to run the application, such as an operating system and runtime environment. The RUN instruction is used to execute commands on the image. These commands can be used to install software, build the application, or configure the image. The CMD instruction specifies the command that will be executed when the container is started.


  • Create a Dockerfile for a simple web application (e.g. a Node.js or Python app).

  • Build the image using the Dockerfile and run the container.

    sudo docker build . -t <image_name>

    sudo docker run -p <local_port>:<container_port> <image_name>

  • Verify that the application is working as expected by accessing it in a web browser.

  • Push the image to a public or private repository (e.g. Docker Hub ).
    sudo docker build . -t <registry>/<repository>:<tag>
    sudo docker push <registry>/<repository>:<tag>

Thank You!