Cryptocurrency Fibers based Hybrid Deep Learning maps for High-Performance Regressions that are Realtime Socket powered by Scalable Event Queue design rewritten in Rust.
I'm confused, how is it server less if it literally had a server.py file that acts as an HTTP server? I'm not sure, but it appears it may also expect to run in Docker, for another layer of complexity. Finally, why this vs any other editor? What advantage does it offer, especially if the first two assumptions in this post are accurate?
It seems to also be a sort of repl or something that evaluates the code you write as you write it maybe? I'd have to look at this from my computer to understand, but it's not what I expected from the title.
I apologize if the title seemed misleading. The code execution part is built on a serverless framework, FaaS https://github.com/alexellis/faas. At some point, I might be able to incorporate the web page itself as being executed through FaaS, but for now, it is served up through a service that runs alongside the serverless code execution.
That being said, I chose to go with the FaaS so I could support more languages for execution of code than AWS or Azure currently does. Which I am working on adding more languages as develope new features for this project.
Please let me know if you have any other feedback.
12 comments
[ 1.9 ms ] story [ 37.4 ms ] threadLibrary Reactive Functional Composable
Can I call 'bingo' yet?
Seriously, though. thank you for taking a look at the project and let me know if you have any questions.
Made with love.
It seems to also be a sort of repl or something that evaluates the code you write as you write it maybe? I'd have to look at this from my computer to understand, but it's not what I expected from the title.
That being said, I chose to go with the FaaS so I could support more languages for execution of code than AWS or Azure currently does. Which I am working on adding more languages as develope new features for this project.
Please let me know if you have any other feedback.
Kind Regards