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How To Use Docker Tags to Handle Picture Variations Successfully

How To Use Docker Tags to Manage Image Versions Effectively
Picture by Editor | Midjourney & Canva


Learn to make the most of Docker tags to handle completely different variations of your Docker pictures, guaranteeing constant and arranged improvement workflows. This information covers greatest practices for tagging, updating, and sustaining Docker pictures.



Earlier than you begin:

  • It’s best to have Docker put in in your improvement setting. Get Docker if you happen to haven’t already.
  • A pattern utility which you need to Dockerize. In the event you’d like, you should use this instance on GitHub.


Tagging Docker Photos


A Docker tag is a label that factors to a particular picture inside a repository. By default, Docker makes use of the newest tag if no tag is specified. However if you happen to’re growing your app and enhancing it throughout variations, it’s possible you’ll need to add extra express tags. These tags are helpful for distinguishing between completely different variations or states of a picture.

Say you have got a Python challenge: a Flask app for stock administration with all of the required recordsdata within the challenge listing:

├── app.py
├── Dockerfile
├── necessities.txt


You may tag a picture once you construct it like so:

$ docker construct -t image_name:tag_name


Now let’s construct the inventory-app picture and tag it:

$ docker construct -t inventory-app:1.0.0 .


Right here:

  • inventory-app is the repository title or the picture title.
  • 1.0.0 is the tag for this particular construct of the picture.

You may run the docker pictures command to view the newly constructed picture with the required tag:

$ docker pictures
REPOSITORY      TAG           IMAGE ID       CREATED        SIZE
inventory-app   1.0.0         32784c60a992   6 minutes in the past   146MB


You can too tag an current picture as proven:

$ docker tag inventory-app:1.0.0 inventory-app:newest


Right here, we’re tagging an current picture inventory-app:1.0.0 as inventory-app:newest. You’ll see that we’ve two inventory-app pictures with completely different tags and the identical picture ID:

$ docker pictures
REPOSITORY      TAG           IMAGE ID       CREATED        SIZE
inventory-app   1.0.0         32784c60a992   6 minutes in the past   146MB
inventory-app   newest        32784c60a992   5 minutes in the past   146MB


Pushing Tagged Photos to a Repository


To share your Docker pictures, you’ll be able to push them to a Docker repository (like DockerHub). You may join a free DockerHub account, login, and push pictures. It’s best to first log in to DockerHub:


You’ll be prompted to your username and password. Upon profitable authentication, you’ll be able to push the tagged picture with the docker push command.

Be sure your repository title matches your Docker Hub username or group. In case your Docker Hub username is consumer and also you need to push model 1.0.1 of the picture, you tag your picture as consumer/inventory-app:1.0.1:

$ docker tag consumer/inventory-app:1.0.1
$ docker push consumer/inventory-app:1.0.1


When you might want to use a particular model of a picture, you’ll be able to pull it utilizing the tag:

$ docker pull consumer/inventory-app:1.0.1


Greatest Practices for Tagging Docker Photos


Listed below are some greatest practices to comply with when tagging Docker pictures:

  • Use Semantic Versioning: Observe a versioning scheme like MAJOR.MINOR.PATCH (1.0.0, 1.0.1). This helps in figuring out the importance of modifications.
  • Keep away from Utilizing newest for Manufacturing: Use express model tags for manufacturing deployments.
  • Automate Tagging in CI/CD Pipelines: Combine Docker tagging into your CI/CD pipelines to make sure constant and computerized versioning.
  • Embrace Metadata in Tags: If it is sensible, add construct numbers, commit hashes, or dates in tags.

By following these practices when utilizing Docker tags, you’ll be able to keep a clear, organized, and versioned set of Docker pictures.


Extra Assets


Listed below are a few sources you’ll discover useful:


Bala Priya C is a developer and technical author from India. She likes working on the intersection of math, programming, knowledge science, and content material creation. Her areas of curiosity and experience embody DevOps, knowledge science, and pure language processing. She enjoys studying, writing, coding, and occasional! At the moment, she’s engaged on studying and sharing her data with the developer group by authoring tutorials, how-to guides, opinion items, and extra. Bala additionally creates participating useful resource overviews and coding tutorials.

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