Cloud apps sdk written without container knowledge or clouds, awk,python,bash,lisp impl.
awk,python,bash and lisp container ignorant cloud apps

Cloud apps sdk written without container knowledge or clouds, awk,python,bash,lisp impl.

Code shown is the 24 line lisp implementation it only relies on stdin/stdout. There is a shell that does the necessary translations allowing the thin client to show any necessary gui on the other side of the connection. The scripts don't need to know anything about this. Code development can be done without the thin client by typing in the mouse clicks and the "drawapp" command, etc. Complete development and deployment can be done without a cloud at all. All the pieces are here https://bitbucket.org/timcdoc/antibrowser/src/master/ I will be adding any scripts I can think of, probably powershell, perl, anything else? This sdk is completely self contained, anyone can use it to develop and even use apps written in their favorite shell, and connect over a socket from anywhere, without relying on a cloud server, without relying on having to understand the transparent container. The over the wire info is very tiny you can see it by running the server app like python calc.py and typing drawapp or 1 3124 4062 for a button push. The first language implementation took me a few days, the last (bash) a few hours, probably much less time now. I do think I can get the lisp(my lisp) implementation way down too 12 lines? hmm. Here is a test run. The thin clients don't know what the implementation language is, the over the wire stuff is all very similar. In fact I put in text so I could tell which implementations were responsible. Here is a few seconds of test scripting.

There is a native C and C++ app version of both this 4 banger calc and the paint program, this will be less of a footprint, this codes to a smaller footprint and does some extra compression before over the wire, for eeking out the most efficient use of many apps/servers. The scripts are way easier to get up and running in ones own favorite scripting or even compiled languages.

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