This tutorial explains, how to install docker on EC2 Instance. Before starting, let’s have some brief knowledge about Docker.

AWS IoT EduKit is a prescriptive learning program for developers. With AWS IoT EduKit, students working on their first IoT project, professionals who want to learn more about IoT, and engineers who want to develop new IoT skills, can use a reference hardware kit and self-service tutorials for a hands-on introduction to building IoT applications. An instance with an attached NVIDIA GPU, such as a P3 or G4dn instance, must have the appropriate NVIDIA driver installed. Depending on the instance type, you can either download a public NVIDIA driver, download a driver from Amazon S3 that is available only to AWS customers, or use an AMI with the driver pre-installed. AWS CLI provides direct access to the public API (Application Programming Interface) of Amazon Web Services. Since it’s a command line tool, you can also use it to create scripts for automating your Amazon Web Services. In this article, I will show you many ways to install AWS CLI tool on your Ubuntu 18.04 LTS operating system.

Docker is a platform that combines applications and its dependencies in the form of packages, called container. We can run multiple containers on a single Operating System. Containers are not Virtual Machines. Virtual Machines requires Operating System to run applications, but containers do not. As containers don’t need an Operating System, it takes very little time to start and hence it is very faster than Virtual Machines.

Also Learn: How to install Ansible on Amazon Linux(EC2 )

AWS Graviton processors are custom built by Amazon Web Services using 64-bit Arm Neoverse cores to deliver the best price performance for your cloud workloads running in Amazon EC2. Amazon EC2 provides the broadest and deepest portfolio of compute instances, including many that are powered by latest-generation Intel and AMD processors. This could be a bit of a hassle if you want to use your macOS or Windows machine to pip install -t. Pandasthen zip them up for Lambda Layers which is an Amazon Linux environment. There are a few ways of bringing in Linux compatible dependencies whether it’s through Serverless or using an EC2 Instance.

and Launching Amazon Linux EC2 Instance

Let’s Install Docker on EC2 Instance

In this tutorial, we will use Amazon Linux to install docker. Amazon Linux/Amazon Linux2 is the Linux Operating System used in EC2 Instance.

Step 1– Log to Linux EC2 Instance and update it.

$ sudo yum update -y

Step 2– Install docker using Yum command

$ sudo yum install docker -y

Step 3– Start Docker Service

$ Service docker start

Step 4– Check docker Version.

$ docker -v

Basic Configuration (Creating Docker File / Running Docker Image)

After you install docker on ec2 , let’s have some basic setup for Docker.

Step 1 – Create a docker file

Dockerfile is a text file where we write instructions to build an image.

Create a folder name Images on the Amazon Linux box.

$ mkdir images

Move to folder images

$ cd images

Create a file name Dockerfile inside images folder

$ nano Dockerfile

Put the content in the following way inside the Dockerfile.

FROM Ubuntu ( It will use the Official image Ubuntu to build your image)

MAINTAINER chandan <[email protected]>

( It sets the Author field of the generated image)

RUN apt-get update ( It will update the image at the time of Build)

Aws Ec2 Install Docker-compose

CMD [ “echo”, ” Hello World ……….! “] ( It will run echo command when we run the docker container image)

Please also readHow to install docker on ec2 Instance(Windows)

Aws Ec2 Windows Install Docker

You may also likeInstall Docker on Ubuntu using Script

Step 2– Run the docker build command to build the image.

Aws Ec2 Install Docker Compose

$ docker build .

Note : ( . command is used when you are inside images folder where Dockerfile is present, alternatively you can put the docker file absolute path like /home/ec2-user/images/Dockerfile)

You can run the following command as well to Name and tag your Image. Here myimage is the Name and 01 is Tag of the image.

$ docker build -t myimage:01 .

Step 3– See the Docker Images after build

$ docker images

Step 4 – Run the docker image

$ docker run 07deaa33585e

Here 07deaa33585e is the IMAGE ID that can be seen in docker images command.

You can see here, it executed the echo command as soon as we run the docker image. In the same way, we can run any script, commands or any application by running a docker image.

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