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. For latest updates and blogs, follow us on Twitter. 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. Check out my other blog, Revive-n-Thrive.com

Share
Published by
Ajitesh Kumar
Tags: docker

Recent Posts

Feature Engineering in Machine Learning: Python Examples

Last updated: 3rd May, 2024 Have you ever wondered why some machine learning models perform…

14 mins ago

Feature Selection vs Feature Extraction: Machine Learning

Last updated: 2nd May, 2024 The success of machine learning models often depends on the…

18 hours ago

Model Selection by Evaluating Bias & Variance: Example

When working on a machine learning project, one of the key challenges faced by data…

1 day ago

Bias-Variance Trade-off in Machine Learning: Examples

Last updated: 1st May, 2024 The bias-variance trade-off is a fundamental concept in machine learning…

2 days ago

Mean Squared Error vs Cross Entropy Loss Function

Last updated: 1st May, 2024 As a data scientist, understanding the nuances of various cost…

2 days ago

Cross Entropy Loss Explained with Python Examples

Last updated: 1st May, 2024 In this post, you will learn the concepts related to…

2 days ago