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someengineering
fixinventory
Python2020–2024
someengineering / fixinventory

fixinventory

Fix Inventory helps you identify and remove the most critical risks in AWS, GCP, Azure and Kubernetes.

7Distinct people
12Mentions
0Explicit recommenders
2.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Fix Inventory helps you identify and remove the most critical risks in AWS, GCP, Azure and Kubernetes.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 5:58:02 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year12 dated mentions

Observed mentions: 2020-08-12 20:30:46 UTC to 2024-08-25 05:07:14 UTC.

0123452020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 3 mentions; 3 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC330
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC321
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC514

What Hacker News says

3 sources
I had a similar issue at my last job. Whenever a user created a PR on our open source project artifacts of 1GB size consisting of hundreds of small files would be created and uploaded to a bucket. There was just no process that would ever delete anything. This went on for 7 years and resulted in a multi-petabyte bucket. I wrote some tooling to help me with the cleanup. It's available on Github: https://github.com/someengineering/resoto/tree/main/plugins/... consisting of two scripts, s3.py and delete.py. It's not exactly meant for end-users, but if you know your way around Python/S3 it might help. I build it for a one-off purge of old data. s3.py takes a `--aws-s3-collect` arg to create the index. It lists one or more buckets and can store the result in a sqlite file. In my case the directory listing of the bucket took almost a week to co
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mplete and resulted in a 80GB sqlite. I also added a very simple CLI interface (calling it virtual filesystem would be a stretch) that allows to load the sqlite file and browse the bucket content, summarise "directory" sizes, order by last modification date, etc. It's what starts when calling s3.py without the collect arg. Then there is delete.py which I used to delete objects from the bucket, including all versions (our horrible bucket was versioned which made it extra painful). On a versioned bucket it has to run twice, once to delete the file and once to delete the then created version, if I remember correctly - it's been a year since I built this. Maybe it's useful for someone.
In AWS S3: Sometimes you should press the $100k button

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