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I hate it very much. I am sure it is due to my limited understanding of it, but I've been stuck on some things that were very easy for me using VM.
We have two networks, one of which has very limited internet connectivity, behind proxy. When using VMs, I used to configure everything: code, files, settings on a machine with no restrictions; shut it down; move the VM files to the restricted network; boot and be happily on my way.
I'm unable to make this work with docker. Getting my Ubuntu server fetch its updates behind proxy is easy enough; setting it for python Pip is another level; realising the specific python libraries need special keys to work around proxies is yet another; figuring out how to get it done for Docker and python under it is when I gave up. Why can it not be as simple as the VM!
Maybe I'm not looking using the right terms or maybe I should go and learn docker "properly", but there is no doubt that using Docker is much more difficult for my use case than using VMs.
Huh? Your docker container shouldn't be calling pip for updates at runtime, you should consider a container immutable and ephemeral. Stop thinking about it as a mini VM. Build your container (presumably pip-ing in all the libraries you require) on the machine with full network access, then export or publish the container image and run it on the machine with limited access. If you want updates, you regularly rebuild the container image and repeat.
Alternatively, even at build time it's fairly easy to use a proxy with docker, unless you have some weird proxy configuration. I use it here so that updates get pulled from a local caching proxy, reducing my internet traffic and making rebuilds quicker.
I think I'm not aware of the exporting/publishing part and that's the cause of my woes. I get everything running on the machine with unrestricted access, move to the machine with restricted access go "docker compose up" and get stuck. I'll read up on exporting/publishing, thank you.