sbp opened a new issue, #751:
URL: https://github.com/apache/tooling-trusted-releases/issues/751

   When staging versions are uploaded to third party distribution platforms 
such as DockerHub, MavenCental, or PyPI, we should consider allowing remote 
promotion of those artifacts to production releases, if possible. This is a 
minor performance improvement. It can't be counted as a reduction in 
complexity: if anything, it's an increase in complexity, because for platforms 
that don't support remote upgrade we will still have to support uploading from 
ATR again. The files are always on ATR, so they will never need to be 
re-fetched, which means that there are no performance gains there.
   
   There are some caveats to this. We would have to track the exact revision of 
files that were uploaded in the staging version. We should do this anyway, of 
course, but then when allowing promotion we also have to check that the files 
haven't been updated in subsequent revisions. We have to check that the files 
being promoted are the same as those that were voted on. This is an extra check 
that we don't currently have to do in ATR because the artifacts in the finish 
phase are, by definition, those that have been voted on.
   
   We also have to consider how the promotion works on each platform. This 
would replace uploading from ATR, so there wouldn't be any extra complexity 
there. From a quick browse of documentation, ArtifactHub doesn't support 
promotion because it [only records 
metadata](https://artifacthub.io/docs/topics/faq/#can-i-install-applications-directly-from-artifact-hub);
 DockerHub [only supports promotion if using mutable 
tags](https://docs.docker.com/docker-hub/repos/manage/hub-images/immutable-tags/);
 Maven Central [does support 
promotion](https://central.sonatype.org/publish/publish-portal-api/#publish-or-drop-the-deployment);
 npm supports [mutable tags that it calls 
dist-tags](https://docs.npmjs.com/adding-dist-tags-to-packages); and PyPI does 
not support promotion from Test PyPI to PyPI and we have received a report that 
projects use PyPI for staging anyway.


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