Day 17 Task: Docker Project for DevOps Engineers.

Day 17 Task: Docker Project for DevOps Engineers.

Β·

3 min read

  • Dockerfile🐬

Docker is a tool that makes it easy to run applications in containers. Containers are like small packages that hold everything an application needs to run. To create these containers, developers use something called a Dockerfile.

A Dockerfile is like a set of instructions for making a container. It tells Docker what base image to use, what commands to run, and what files to include. For example, if you were making a container for a website, the Dockerfile might tell Docker to use an official web server image, copy the files for your website into the container, and start the web server when the container starts.

  • TASK🎈

  • Create a Dockerfile of the Python app in your terminal and write a Dockerfile

  • Create a New Directory πŸ“‚

    Start by creating a new directory for your Python web application. This directory will contain your application code and the Dockerfile.

    πŸ“‚ Creating a directory... πŸ“

  • Write Your Python Web Application Code 🐍

    Write your Python web application code in a file named app.py inside the directory you just created. This could be a basic "Hello, World!" web application using a framework like

  • 🐍 Writing your Python web app code... πŸ“

  • Create a Dockerfile πŸ“„

    In the same directory, create a file named Dockerfile (with no file extension) to define the Docker image build process.

  • πŸ“„ Creating the Dockerfile... πŸ› οΈ

  • Build the image using the Dockerfile and run the container

  • Build the Docker Image πŸ› οΈ

    In your terminal, navigate to the directory containing the Dockerfile and application code. Run the following command to build the Docker image:

  • πŸ› οΈ Building the Docker image... 🚒

  • Run the Docker Container πŸš€

    Once the image is built, run a container based on the image:

  • πŸš€ Running the Docker container... 🐳

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

  • Access Your Web Application 🌐

    Open your web browser and navigate to http://localhost:8080 to see your Python web application in action.

    🌐 Accessing your web app... πŸ’»

  • Stopping and Cleaning Up 🧹

    When you're done testing, stop and remove the container:

    🧹 Stopping and cleaning up... πŸ—‘οΈ

docker stop python-web-container
docker rm python-web-container

Congratulations! You've successfully created a Dockerfile for a simple Python web application, built the Docker image, ran a container, and accessed your web app. Enjoy your containerized Python app! πŸŽ‰πŸ³

  • Push the image to a public or private repository (e.g. Docker Hub )

  1. Log In to Docker Hub πŸ”‘

    If you haven't already, you need to log in to your Docker Hub account in your terminal:

    Enter your Docker Hub username and password when prompted.

    πŸ”‘ Logging in to Docker Hub... 🌐

  2. Tag the Image for Docker Hub 🏷️

    Before pushing the image to Docker Hub, you need to tag it with your Docker Hub username and repository name. Replace <username> with your Docker Hub username and <repository> with the desired repository name:

    🏷️ Tagging the image for Docker Hub... πŸ“¦

  3. Push the Image to Docker Hub 🚒

    Push the tagged image to Docker Hub:

    🚒 Pushing the image to Docker Hub... πŸš€

  4. Verify on Docker Hub 🌐

    Open your web browser and navigate to Docker Hub (hub.docker.com). Log in to your account and navigate to your repositories. You should see your newly pushed repository and image listed there.

    🌐 Verifying on Docker Hub... πŸ‘€

  5. Success! πŸŽ‰

    Congratulations! You've successfully pushed your Docker image to Docker Hub, making it accessible to others.

    πŸŽ‰ Success! Well done! πŸ₯³


Happy Learning

Thanks For Reading! :)

-SriparthuπŸ’

Β