I disagree on that point.
Just taking a docker image from a developer and deploying that to production does not work to well in my experience, and guess who gets the support calls when things break?
If a sysadmin gets a say in how the container images are configured, it usually works out much better.
Also partitioning the filesystem to avoid dependency clashes used to be more important when I used rack mounted servers. Now it's easy enough to deploy separate cloud instances to partition things. And it's a real VM with real tools on it so I can diagnose problems if they arise.
In my experience, that's been about the same for any mode of deployment by a developer without ops experience. The main thing Docker added was standardizing the mechanics and avoiding certain classes of errors like not having reproducible builds or deploying local artifacts inconsistently.
The reason why containers are popular is that you get a simple way to manage all of that and it's completely standard on every project. App A doesn't need to be modified to coexist with App B because they're running in an isolated environment, the sysadmin doesn't need to learn how the container was built just to manage services or deploy new instances, builds are much faster because of the layering model, you can deploy a single tested image with no chance of differences creeping into your automated deployments in testing & production, etc. All of that is something which you can achieve with other tools but there's a huge win to not having to reinvent each wheel when you encounter it and being able to reuse other people's work easily.
Note also that I said “containers” instead of Docker — some people might prefer, say, podman / buildah but the key concepts of having a clear support boundary with an isolated-by-default filesystem model are really more important than the implementation.