Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

Docker image size is blowing up

Open
#1,227 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
25/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
docker, python

Research direction

Start by comparing the Docker image layers and build history for v125 and v129 using the linked Google Container Registry image. Identify which release changes account for the growth, then verify that a subsequent image no longer increases at the reported rate while preserving the image's existing contents.

Written by the indexing model from the issue text.

Description

When comparing the last few releases in
https://console.cloud.google.com/gcr/images/kaggle-images/GLOBAL/python
it is quite noticeable that recently there has been a sudden increase in the docker image size, e.g. from virtual size 6.2 GB of v125 to virtual size of 8.3 GB of v129, i.e. a 34% increase.

When uncompressed, docker reports that v125 results in a 19 GB container, while v129 results in a 23 GB container, i.e. a 21% increase.

I noticed this while running (the heaviest of) my workflows on GitHub Actions, randomly getting errors like

System.IO.IOException: No space left on device : '/home/runner/runners/2.302.1/_diag/Worker_20230304-204952-utc.log'

While surely the amount of disk space that GitHub offers is not your responsibility, you may still want to check if there is any way to keep the size of the docker image under control, and if possible keep it from growing at this rate any further.

Dominant language
Python
Stars
2.7k
Forks
1k
Avg merge
5h 55m
Merged PRs (30d)
1

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from Kaggle/docker-python

All issues in Kaggle/docker-python

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.