Simple DevOps Project: Deployment of 2048 Game on AWS using docker

Introduction

This application was deployed in the Ec2 instance of Ubuntu's Processor of T2 Micro with 8 GB of storage on it.

Setup:

1. Launch an EC2 instance.

   • Sign in to the AWS Management Console.

   • Go to the EC2 Dashboard.

   • Click on "Launch Instance."

   • Choose an Amazon Machine Image (AMI) with Ubuntu, such as "Ubuntu Server" or "Ubuntu LTS."

   • Select an instance type, configure instance details, and add storage as needed.

   • Configure security groups to allow SSH (port 22) and any other required access.

   • Review and launch the instance, and create or choose an existing key pair to connect to the instance securely.

     

2. Connect to the EC2 instance:

   Once your EC2 instance is running, you can connect to it using SSH. Replace your-key.pem with the actual name of your key pair file and your-instance-ip with the public IP of your instance:

    ssh -i your-key.pem ubuntu@your-instance-ip
   

3. Update and Upgrade Packages:

   After connecting to the instance, it's a good practice to update and upgrade the system packages to ensure you have the latest software and security updates:

    sudo apt update
    sudo apt upgrade
   

4. We have to install Docker.

    sudo apt install docker.io -y
   

5. We have given permission to docker

   

6. Then we will write a Dockerfile for our 2048 app

    FROM ubuntu:22.04
    RUN apt-get update
    RUN apt-get install -y nginx zip curl
    RUN echo "daemon off;">>/etc/nginx/nginx.conf
    RUN curl -o /var/www/html/master.zip -L https://codeload.github.com/jabir000/2048/zip/master
    RUN cd /var/www/html/ && unzip master.zip && mv 2048-master/* . && rm -rf 2048-master master.zip
    EXPOSE 80
    CMD ["/usr/sbin/nginx", "-c", "/etc/nginx/nginx.conf"]
   

   1. Execute the following commands in the new terminal

       pwd
      
       ls
      
       docker build -t <docker image name> .
      

      

       docker images
      

      

       docker run -d -p 80:80 <container id>
      

      

       docker ps
      

      

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