print(os.path.exists("ssh://user@rsync.net:fileThatExists"))
A boolean, a still (relatively) terse line of code. And when you end up wanting to do something even a bit more complicated it'll be a smooth gradient of difficulty.
As with every discussion around shells, though, the amazing terseness of scripts is great, but every form of programmatic behavior beyond "do this then that" and "do string interpolation here" is a massive pain in the butt. The biggest advantage is that stuff like pipes are a very good DSL.
> print(os.path.exists("ssh://user@rsync.net:fileThatExists"))
That's just invoking the whole jungle when all you want is a banana.
I did say Python-esque (I do get that Python in particular has a lot of stuff in its prelude). Really if you want to be super pedantic then the most "banana"-y isn't a line in your shell but some C library calls on both sides of the system.
It doesn't crash because I forgot to import os ?
For example, you can interact with docker in Python with a lib, but it would be amazing if the docker binary just exposed an RPC interface and API for script languages so you wouldn't have to parse out things from output or otherwise try to figure things out when writing shell scripts. This is, of course, the PowerShell thing, but PS's aesthetics displease me and many other people.
Computers are, of course, turing complete. You can do whatevery you want, really. But for example I end up using zsh instead of xonsh because I want to use what other people write as well.
you're omitting the 500 lines of yaml needed to deploy that, the tens of megabyte for the python base image (of which you'll waste more than 99.99%) and the tens of megabytes in bandwidth to the docker registry and to download it on the kubernetes worker... And the image wight should be accounted at least four times: worker node + 3 in the docker registry (ha and stuff).
it's incredibly inefficient if you just freaking want to know if a file exists.
# ssh user@k8s.machine "test -f fileThatExists"
# echo $?
0
Gee it's like nobody realizes that k8s is just unix machines too, only difference is instead of a program in the whole OS listening on a port, it's a container... And _gasp_ you can deploy containers to listen to any port you want and have those containers do anything you want... Wow.I well remember my disgust when I learned AWS was just using UNIX virtual machines or whatever, rather than something simple, such as allowing people to run little functions floating in the void. I know nothing about AWS, but I've not been mistaken, right?
I ran 1000s of physical Linux servers over the decades using chroots when it was not fashionable to have containers yet with db clusters because I don’t want my laptop to be different than my servers and I don’t want to think or worry about scaling.
We have aws Lambda now, but it is too expensive and, for me, not trivial enough. It actually requires too much thinking (architecting) to make something complex with it and a lot of that is about money; you can stumble into bills that require at least a kidney to settle.
So I still run my own servers, these days with openfaas. With many scripts, it is almost painless and costs almost nothing (we provide for millions of users for a less than 200$ a month in total). But it still is not the dream: I still cannot just forget about everything hosting and abstractions still leak enough but at least I don’t spend more than a few hours a year on it and I don’t go bankrupt like can happen with Lambda.
We are building our own language and runtime (lisp like with types) to fix this: after 40 years of programming, I am pretty much fed up with having computing power and loving programming but having to deal with all this pointless (for programmers!) stuff around it: we went backwards, at least somewhat.
EC2 was a necessary step and though and even that bought things like per second billing, autoscaling and infrastructure as code to the masses.
I have had two types of developers in my teams: one type that understands the underlying technology of the abstractions that they are using, and one type that only understands the layer/abstraction they are interacting with and blissfully clueless about anything underneath.
Neither group worries about transistors or proton decay in their hardware, and both can make 'things'. However, one group is much more capable of effectively building tools and understanding issues when something goes wrong in the chain, whereas the other group is regularly hopelessly lost because they have no clue of what is happening. I'll let you guess which is which.
This is not about worrying or even being bothered with details, but about understanding what you're working with.
Also I was saving me a phone call with Dell and a sunday evening configuring some hardware.
No new bullshit paradigm to learn, I could shove my code in there with tool I knew and call it a day.
EC2 was a stepping stone and it worked well to get some stuff in the cloud.
Remember the early days when only non-critical, non-PII stuff were in the cloud? And how some companies "just can't use it because of X" ( or worse the dreaded Y )