I’m just setting up AWS and try to have an environment like this:
- The git repository, pycharmPro, and Jupyter locally on my notebook.
- The possibility to use files and calculation resources from AWS S3-Buckets / EC2-Instances. The goal is to program locally even if I’m spontaneously offline. (I have to travel a lot in German trains there being offline happens usually.) And to be able to start bigger calculations on AWS while online.
Currently, I made up the following possible solutions (but all are not yet good enough)
- Shift the files via git between AWS and my notebook. But then, (apart from the git-steps every time I change something I want to test on EC2) the git-flow is ruined since I have to do git commits without being sure that I already solved my next task. => Ok, here are a few possibilities to repair the git flow. Is it possible to push a git stash to a remote repository? But still there are a lot of steps to shift code to the clouds. (now even more)
- I may do a different synchronization (manual coping or a cloud storage service) between my git folder and the EC2. But on the one hand, this sync would never be instant and additionally, it does not feel well.
- I found several descriptions to connect my local PycharmPro with a git-repository on AWS (e.g. https://aws.amazon.com/pycharm/). But I’m afraid not to be able to continue with programming as soon as I’m offline.
Has someone a direct way to use AWS-Ressources directly from a git repository stored on my local machine? Thanks a lot
