Categories: DevOpsDockers

Docker – 3 Different Ways to Create Images

This article represents 3 different ways using which one could create a Docker image. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.
In the command below, hub-user is the name of your user account on http://hub.docker.com, repo-name is the repository name that you create and tag is the name you assign to specific image (e.g., dev, testing etc). Following are the different ways:
  • docker build -t <hub-user>/<repo-name>[:<tag>] -t <dockerfile> .
  • docker tag <existing-image> <hub-user>/<repo-name>[:<tag>]. The “existing-image” uis the name of image which already exists in your local repository.
  • docker commit <exiting-container> <hub-user>/<repo-name>[:<tag>]. This command is handy when you have built a container as you go and later wanted to build an image based on this container.
Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Share
Published by
Ajitesh Kumar
Tags: docker

Recent Posts

Agentic Reasoning Design Patterns in AI: Examples

In recent years, artificial intelligence (AI) has evolved to include more sophisticated and capable agents,…

2 months ago

LLMs for Adaptive Learning & Personalized Education

Adaptive learning helps in tailoring learning experiences to fit the unique needs of each student.…

2 months ago

Sparse Mixture of Experts (MoE) Models: Examples

With the increasing demand for more powerful machine learning (ML) systems that can handle diverse…

3 months ago

Anxiety Disorder Detection & Machine Learning Techniques

Anxiety is a common mental health condition that affects millions of people around the world.…

3 months ago

Confounder Features & Machine Learning Models: Examples

In machine learning, confounder features or variables can significantly affect the accuracy and validity of…

3 months ago

Credit Card Fraud Detection & Machine Learning

Last updated: 26 Sept, 2024 Credit card fraud detection is a major concern for credit…

3 months ago