How to Create Your First Docker Container Step by Step

Docker has completely changed the way developers build, test, and deploy applications. Instead of worrying about whether software works on different computers or operating systems, Docker allows you to package your application with everything it needs into a lightweight container. This makes development faster, deployment easier, and collaboration more efficient.

If you are new to Docker, don't worry. This guide will walk you through Creating and Running a Docker Container in simple steps. Whether you are a student, beginner, software developer, or business owner exploring cloud container technology, this tutorial will help you understand Docker from the ground up.

What is Docker?

Docker is an open-source platform that allows developers to build, package, and run applications inside containers. A container includes the application, its libraries, dependencies, and configuration files. Since everything is bundled together, the application behaves the same way on every system.

Unlike virtual machines, Docker containers are lightweight and start within seconds. They use fewer resources while delivering excellent performance, making them an essential part of modern DevOps Docker workflow and software development.

What is a Docker Container?

A Docker container is a running instance of a Docker image. Think of a Docker image as a blueprint and the container as the actual application running from that blueprint.

For example:

• Docker Image = Recipe

• Docker Container = Prepared Meal

A single Docker image can create multiple containers, allowing developers to scale applications easily.

This containerization concept is one of the biggest reasons companies adopt Docker for cloud applications.

Why Should Beginners Learn Docker?

Learning Docker provides several advantages.

• Easier application deployment

• Consistent development environments

• Faster software delivery

• Better collaboration between developers

• Simplified testing process

• Supports CI/CD with Docker

• Works perfectly with Kubernetes

Today, Docker skills are highly demanded in DevOps, Cloud Computing, and Software Development careers.

Prerequisites Before Creating and Running a Docker Container

Before starting, install the following:

• Docker Desktop

• Windows, Linux, or macOS

• Internet connection

• Basic knowledge of terminal commands

You can verify your installation by opening the Docker CLI terminal and typing:

</> Bash
docker --version

If Docker is installed correctly, you'll see the installed version.

Step 1: Install Docker Desktop

Visit Docker's official website and download Docker Desktop.

During installation:

• Enable WSL2 if you're using Windows.

• Restart your computer.

• Launch the Docker desktop interface.

Once Docker starts successfully, you're ready to create your first container.

Step 2: Open the Docker Command Line

Open:

• Command Prompt

• PowerShell

• Linux Terminal

• macOS Terminal

Docker commands are executed through the Docker command line, making it the primary tool for managing containers.

Step 3: Pull Your First Docker Image

Docker images are stored on Docker Hub.

Download the official Ubuntu image:

</> Bash
docker pull ubuntu

Or download the popular Nginx image:

</> Bash
docker pull nginx

Docker will automatically download all required files.

This is the first step in Docker container deployment.

Step 4: Check Downloaded Images

Run:

</> Bash
docker images

Output:

REPOSITORY   TAG       IMAGE ID
ubuntu       latest    xxxxxxxxx
nginx        latest    yyyyyyyyy

These images are now available on your local system.

Step 5: Create and Run Your First Docker Container

Now comes the exciting part—Creating and Running a Docker Container.

Run:

</> Bash
docker run ubuntu

Or launch an interactive Ubuntu container:

</> Bash
docker run -it ubuntu bash

You are now inside the container.

Try:

</> Bash
ls
pwd

Congratulations! You've successfully created your first Docker container.

Step 6: View Running Containers

Open another terminal and type:

</> Bash
docker ps

To see all containers:

</> Bash
docker ps -a

These commands are among the most frequently used Linux terminal with Docker commands.

Step 7: Stop a Docker Container

Find the Container ID:

</> Bash
docker ps

Stop it:

</> Bash
docker stop container_id

Example:

</> Bash
docker stop a12bc34d56ef

Stopping unused containers helps save system resources.

Step 8: Remove a Docker Container

Delete the container:

</> Bash
docker rm container_id

Delete unused images:

</> Bash
docker image prune

Cleaning up Docker regularly keeps your development environment organized.

Understanding Docker Architecture

Before moving further, it's useful to understand Docker container architecture.

Docker mainly consists of:

• Docker Client

• Docker Engine

• Docker Images

• Docker Containers

• Docker Registry

The Docker Client communicates with the Docker Engine, which builds and runs containers. Images are downloaded from Docker Hub and converted into running containers.

What is Docker Engine?

The Docker Engine is the core component responsible for creating and managing containers.

It handles:

• Image management

• Container execution

• Networking

• Storage

• Resource allocation

Many Docker engine illustration diagrams show it as the heart of Docker's architecture.

Using Dockerfile to Build Custom Containers

A Dockerfile is a text file containing instructions to build an image.

Example:

</> dockerfile

FROM ubuntu

RUN apt-get update

CMD ["echo","Hello Docker"]

Save it as:

Dockerfile

Build it:

</> Bash
docker build -t myimage .

Run it:

</> Bash
docker run myimage

Many developers perform Dockerfile coding on laptop while building applications locally before deploying them.

Docker Development Environment

A proper Docker development environment allows every team member to work with identical software versions.

Benefits include:

• No dependency conflicts

• Faster onboarding

• Easy testing

• Consistent builds

• Better collaboration

This consistency is one of Docker's biggest strengths.

Docker Compose for Multi-Container Applications

As projects grow, managing multiple containers individually becomes difficult.

Docker Compose solves this problem.

Create a file named:

docker-compose.yml

Define:

• Services

• Networks

• Volumes

Using Docker Compose simplifies running complete applications, and many tutorials use a Docker compose illustration to explain how different services communicate.

Docker in DevOps and Cloud Computing

Docker plays a major role in every DevOps Docker workflow.

It supports:

• Continuous Integration

• Continuous Deployment

• Automated Testing

• Application Packaging

• Infrastructure Automation

Organizations use Docker alongside Kubernetes to manage containers across multiple servers.

The Kubernetes and Docker concept helps businesses deploy applications reliably at scale.

Docker and Microservices

Modern applications are often built using microservices.

Instead of one large application, developers create several smaller services.

Each service runs inside its own Docker container, creating a flexible microservices container architecture that is easier to maintain, update, and scale.

Best Practices for Beginners

If you're just starting with Docker, follow these simple tips:

• Use official Docker images whenever possible.

• Keep your images lightweight.

• Learn Docker CLI commands before advanced topics.

• Remove unused containers regularly.

• Write clean Dockerfiles.

• Practice using Docker Desktop daily.

• Explore Docker networking and volumes.

• Learn Docker Compose after mastering basic containers.

These habits will improve your Docker skills much faster.

Career Opportunities After Learning Docker

Docker is a valuable skill across many technology careers.

Some popular roles include:

• DevOps Engineer

• Cloud Engineer

• Software Developer

• Site Reliability Engineer (SRE)

• Platform Engineer

• System Administrator

Since almost every cloud platform supports Docker, learning it opens many career opportunities.

Conclusion

Learning Creating and Running a Docker Container is one of the best first steps toward becoming a DevOps or Cloud Computing professional. Docker simplifies software development by making applications portable, reliable, and easy to deploy across different environments. Once you're comfortable with Docker containers, you can move on to advanced topics like Docker Compose, Kubernetes, CI/CD pipelines, and cloud deployments.

If you want hands-on training in Docker, Kubernetes, DevOps, and cloud technologies, Brillica Services provides one of the best Cloud Computing courses with practical projects, expert trainers, industry-focused curriculum, and placement assistance to help you build a successful IT career.