8000 feature request: Is it possible to reduce the image size ? · Issue #12571 · localstack/localstack · GitHub
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feature request: Is it possible to reduce the image size ? #12571

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ipsi-apant opened this issue May 1, 2025 · 1 comment
Open
1 task done

feature request: Is it possible to reduce the image size ? #12571

ipsi-apant opened this issue May 1, 2025 · 1 comment
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area: docker Use Docker with LocalStack status: backlog Triaged but not yet being worked on type: feature New feature, or improvement to an existing feature

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@ipsi-apant
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Is there an existing issue for this?

  • I have searched the existing issues

Feature description

An amazing work you guys are doing and appreciate the efforts for making such a cool tool available. :)

I have been wondering, the current docker image with 'latest' tag is about 1.88 GB. This is without any data stored in it. I think 200MB-500MB image size would be reasonable from my point of view. Plus for a community version, not all features are supported, so the enormous size can be reduced.

What tools/features/libraries are taking space?
Is there a way to strip out by configuration ?

🧑‍💻 Implementation

There are a few ideas in my mind.

  1. Allow a feature selection for an image, similar to Spring Initialiser, then a way to build image based on selection.
  2. Use Alpine OS and alternate libraries with reduced size
  3. My understanding this is using python language underneath. Maybe another language might allow efficient storage (Go lang or nodejs).

Anything else?

No response

@ipsi-apant ipsi-apant added status: triage needed Requires evaluation by maintainers type: feature New feature, or improvement to an existing feature labels May 1, 2025
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@Anze1508 Anze1508 added area: docker Use Docker with LocalStack status: backlog Triaged but not yet being worked on and removed status: triage needed Requires evaluation by maintainers labels May 5, 2025
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Labels
area: docker Use Docker with LocalStack status: backlog Triaged but not yet being worked on type: feature New feature, or improvement to an existing feature
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