This ensures that applications are always running the same version of the code and have the same configuration across all environments. First, Docker makes it easy to package and deploy applications in a consistent manner.Advantages of Using Dockerĭocker has several advantages over traditional application deployment methods. This makes it possible to develop applications on one machine, deploy them on another, and move them between different hosting environments with minimal effort. This helps developers quickly and easily deploy applications without having to worry about managing dependencies and configuring system settings.ĭocker containers are also highly portable and can be easily transferred from one system to another. Docker is based on the idea of containerization, which is the process of packaging applications and their dependencies in isolated environments. Processing triggers for libc-bin (2.27-3ubuntu1). Installed autosol package post-installation script subprocess returned error exit status 127 var/lib/dpkg/info/autosol.postinst: 32: /var/lib/dpkg/info/autosol.postinst: sudo: not foundĭpkg: error processing package autosol (-configure): var/lib/dpkg/info/autosol.postinst: 31: /var/lib/dpkg/info/autosol.postinst: sudo: not found var/lib/dpkg/info/autosol.postinst: 30: /var/lib/dpkg/info/autosol.postinst: sudo: not found var/lib/dpkg/info/autosol.postinst: 28: /var/lib/dpkg/info/autosol.postinst: sudo: not found Are you sure it's installed and available on your PYTHONPATH environment variable? Did you forget to activate a virtual environment? The above exception was the direct cause of the following exception: ModuleNotFoundError: No module named 'django' I found the following thread that may be the solution to this problem, but this is going to take a lot more digging. I'm able to install the deb package on this server, but I end up with this error when performing the Dockerfile build.
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