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  • Writer's pictureSuraj Dhakre

Containerising The Application With Docker

Hey there, tech enthusiast! If you're ready to embark on a journey into the world of containerization, you're in for a treat. Today, we're going to demystify Docker and show you how to containerize your applications in a breeze.


What's Docker and Why Should You Care?

Think of Docker as a magic wand for packaging your applications. It allows you to encapsulate your software, its dependencies, and runtime environment in a neat little container. This means you can run your app anywhere, from your local machine to the cloud, with no surprises.

Step 1: Installing Docker

Before we dive into the fun stuff, you'll need to install Docker. Head over to the Docker website and grab the installer for your platform.

Step 2: Creating a Dockerfile

A Dockerfile is like a recipe that tells Docker how to build your container. It specifies what operating system, libraries, and code your container needs. Here's an example for a simple

Python app:

# Use an official Python runtime as a base image
FROM python:3.8

# Set the working directory in the container

# Copy your local code into the container
COPY . /app

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

# Define environment variable

# Run when the container launches
CMD ["python", ""]

<Optional Example>

Multi-Stage Docker Builds

Ever heard of "building once, running anywhere"? Multi-stage builds in Docker allow you to create smaller, more efficient images. You build your application in one container and then copy only the necessary artifacts into a fresh image.

# Build Stage
FROM node:14 as builder
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build

# Production Stage
FROM nginx:alpine
COPY --from=builder /app/build /usr/share/nginx/html

</Optional Example>

Step 3: Building the Docker Image

Navigate to the directory containing your Dockerfile and run the following command:

bash command
docker build -t my-python-app .

This command builds a Docker image named my-python-app based on the instructions in your Dockerfile.

Step 4: Running the Container

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

bash command
docker run -p 4000:80 my-python-app

This command starts a container from the my-python-app image, mapping port 80 in the container to port 4000 on your host machine.

Ansible Configuration for Docker

You can use Ansible to automate the Dockerization process. Here's an example playbook that automates the steps above:

- name: Dockerize Python App
  hosts: localhost
  - name: Copy Dockerfile
      src: Dockerfile
      dest: /path/to/your/app
  - name: Build Docker Image
    command: docker build -t my-python-app /path/to/your/app
  - name: Run Docker Container
    command: docker run -p 4000:80 my-python-app

Parting Thoughts

And there you have it! You've just dipped your toes into the world of Docker and containerization. With Docker, you can package your applications, dependencies, and environment, making deployment a breeze.

So go ahead, try containerizing your own apps, and witness the magic of Docker in action! Happy containerizing!


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