microbadger | What 's inside your Docker containers | Continuous Deployment library

by microscaling Go Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | microbadger Summary

microbadger is a Go library typically used in Devops, Continuous Deployment, Nodejs, Docker applications. microbadger has no bugs, it has no vulnerabilities and it has low support. However microbadger has a Non-SPDX License. You can download it from GitHub.

MicroBadger shows you the contents of public Docker images, including metadata and layer information. Find your container image on MicroBadger to get badges for your GitHub and Docker Hub pages.

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Support

microbadger has a low active ecosystem.

It has 146 star(s) with 9 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 31 open issues and 43 have been closed. On average issues are closed in 35 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of microbadger is current.

Quality

microbadger has 0 bugs and 0 code smells.

Security

microbadger has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

microbadger code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

microbadger has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

microbadger releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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microbadger Key Features

No Key Features are available at this moment for microbadger.

microbadger Examples and Code Snippets

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Community Discussions

Trending Discussions on microbadger

Docker Images - What are these layers?

QUESTION

Docker Images - What are these layers?

Asked 2020-Sep-03 at 23:39

I am looking at this image and it seems the layers are redundant and these redundant layers ended up in the image ? If they are , how they ended up in the image leading to large amount of space ? How could i strip these layers ?

https://microbadger.com/images/openkbs/docker-spark-bde2020-zeppelin:latest

...

ANSWER

Answered 2020-Sep-03 at 23:39

What you are seeing are not layers, but images that were pushed to the same registry. Basically, those are the different versions of one image.

In a repository, each image is accessible through an unique ID, its SHA value. Furthermore, one can tag images with convenient names, e.g. V1.0 or latest. These tags are not fixed, however. When an image is pushed with a tag that is already assigned to another image, the old image loses the tag and the new image gains it. Thus, a tag can move from one image to another. The tag latest is no exception. It has, however, one special property: the tag is always assigned to the most recently pushed version of an image.

The person/owner of the registry has pushed new versions of the image and not tagged the old versions. Thus, all old versions show up as "untagged".

If we pull a specific image, we will receive this image and this image only, not the complete registry.

Source https://stackoverflow.com/questions/63655488

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