Day 17 of #90daysofdevops
Hey Techies! Welcome to this blog
In this blog, we are going to start Docker Project for DevOps Engineers.
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.
What's all this for?
Docker is a general-purpose tool for delivering applications to machines (local computers or remote servers) and running them in an isolated environment.
Task 1: Create a Dockerfile for a simple web application (e.g. a Node.js or Python app)
FROM python:3.10-slim
WORKDIR /app
RUN pip install django==3.2
COPY . .
RUN python manage.py migrate
EXPOSE 8000
CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"]
Task 2: Build the image using the Dockerfile and run the container
docker build -t django-todo:latest .
Task 3: Verify that the application is working as expected by accessing it in a web browser
docker run -d -p 8000:8000 django-todo:latest
Task Push the image to a public or private repository (e.g. Docker Hub )
# First you have to tag your image with your DockerHub username
docker tag django-todo kritikashaw/django-todo
# Then push to DockerHub
docker push kritikashaw/django-todo
In conclusion, a Dockerfile serves as the recipe for constructing a consistent and reproducible software environment. Just as a recipe guides the creation of a dish, a Dockerfile provides step-by-step instructions to set up and package a software application. Its necessity becomes apparent when sharing software across diverse computing environments, where differences in setups can lead to compatibility issues. With a Dockerfile, developers ensure that their applications run uniformly on any machine, fostering seamless deployment and collaboration.
Thank you so much for taking the time to read till the end! Hope you found this blog informative and helpful.
Feel free to explore more of my content, and don't hesitate to reach out if need any assistance from me or in case of you have any questions.
Happy Learning!
~kritika :)