I guess it depends what you run, and how the projects/containers are configured to handle updates and “breaking changes” in particular.
But also, I’m being a bit broad with the term “breaking changes”. Other kinds of “breaking changes” that aren’t strictly crashing the software, but that still cause work include projects that demand a manual database migration before being operational, a config change, or just a UI change that will confuse a user.
The point is, a lot of projects demand user attention which completely eclipses the effort required to execute a docker update.












I’d rather these jobs be automated than the ones AI is gunning for.