Day 17: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.

Task

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

• Dockerfile contains information to build images

• Dockerfile instruction

  • FROM > Base Image

  • LABELS >Adds metadata to an image

  • RUN > Execute commands in a new layer and commit the results.

  • ADD/COPY > Add files and folder into the image

  • CMD > Run binaries /commands on docker run

  • ENTRYPOINT > Allows you to configure a container that will run as an executable

  • VOLUME> Creates a mount point and marks it as holding externally mounted volumes

  • EXPOSE> Containers listen on the specified network ports at runtime.

  • ENV > Sets the environment variable

  • USER > Set the user name or (UID)

  • WORKDIR > Sets the working dir

  • ARG > Defines a variable that the user can pass at build time

  • ONBUILD > Adds to the image a trigger instruction to be executed at a later time.

  •     vim Dockerfile
    

    

    [After creating a docker file clone https://github.com/LondheShubham153/react_django_demo_app.git

    requirements file from above git link]

    • Build the image using the Dockerfile and run the container

      Build an image from the docker file

        docker build . -t todopython:app1
      

      

      

      To run the container

        docker run -p 8001:8001 todopython:app1
      

      

• 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 )docker tag

  • create a docker hub account

  • create a docker hub public repository

  • change local image tag according to the docker hub suggest

    Docker tag todopython dwarika9167/todoapp:app1

Docker login

    docker login  #provide username & password

Push the image to a public or private repository docker push

    docker push dwarika9167/todoapp:app1

Thank you for reading the blog completed #day17