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Have you considered looking at data science use cases for this (particularly with Python)? I've spent a lot of time tweaking containers meant for data science a
by sterlinm 6y ago
Have you considered looking at data science use cases for this (particularly with Python)? I've spent a lot of time tweaking containers meant for data science and one issue I run into a lot is that since you actually spend a lot of time developing inside the containers you want access to a lot of developer tools, but you end up with enormous images as a result. I could see using a tool like this to have one main developer container for working from that has all of your tooling and then using more streamlined containers for individual projects that have only the dependencies you need.
- rmolina 6y agoAbsolutely, that's one of Sysbox's main use-cases, we usually refer to it as 'docker sandboxes'. As you mentioned, the idea is to have your entire dev environment within your fully-customized container, which would allow you to take that environment wherever you go, you are not tied to a particular hypervisor or cloud service-provider. We have heard of people already using Sysbox in Jupyter ecosystem.
- sterlinm 6y agoThat's awesome. Are there public examples of what you'd consider a good setup for that use case that you could point me to? Or is one of the use cases in the Sysbox-EE User Guide a good example (I don't see a 'docker sandbox' one but I may have missed it). Thanks!
- ctalledo 6y agoPlease take a look at these examples and let us know if they help: https://github.com/nestybox/sysbox/blob/master/docs/quickstart/dind.md https://github.com/nestybox/sysbox/blob/master/docs/quicksta...
- ctalledo 6y agoTake a look at the Nestybox blog site: https://blog.nestybox.com/ https://blog.nestybox.com/ It has an article on Docker sandboxing. Hope that helps!