wisdom VS rupy

If you want to output to a browser here is the guide to achieve the best possible performance according to the numbers:

https://github.com/prettydiff/wisdom/blob/master/performance...

Warning: every time I post this people claim to want superior performance but then whine when they realize they have to actually write code (as opposed to letting NPM or React or jQuery do 99% of everything).

This was attempt to research the fastest possible approach to a JavaScript GUI in the browser.

https://github.com/prettydiff/wisdom/blob/master/performance...

The techniques mentioned are stupid fast to the fewest milliseconds, but most JavaScript developers find this incredibly unpopular.

Measure everything and be extremely critical. Be ready to challenge common and popular held assumptions.

Here is something I wrote about extreme performance in JavaScript that is discarded by most programmers because most people that program JavaScript professionally cannot really program.

https://github.com/prettydiff/wisdom/blob/master/performance...

For simple state management here is what I do: https://github.com/prettydiff/wisdom/blob/master/state_manag...

Here is an application with an OS-like GUI making use of that concept: https://github.com/prettydiff/share-file-systems

The challenge is in determining who is about to become obsolete and that is not clear. For example OOP remains the most popular and requested programming paradigm even though it has gradually slid into functional obsolescence more than a decade ago[1].

Even still legacy code will remain in use and talent to maintain legacy systems will remain in demand. My university still teaches COBOL because there still exists demand for people to maintain these legacy applications even if new applications are no longer written in that language.

[1] https://github.com/prettydiff/wisdom/blob/master/Object_Orie...

That depends on how many changes it requires. If its just a matter of don't do these 3 things and your code suddenly becomes more predictable its like being slapped with a magic wand. Everybody wins. All you have to do to ensure 100% of your code compiles in a JIT is be predictable. Predictable code is, on its face, always less confusing.

> The performance benefits are likely to be minimal

This makes me cry, but not a cry of joy or ecstasy. People guessing about performance is perhaps the most frequent anti-pattern in all programming. Please read this document, you can skip to the end but it may not make much sense if you do. https://github.com/prettydiff/wisdom/blob/master/JavaScript_...

After talking about the biggest failures I have seen through my career in learning JavaScript I watched a YouTube video about an interview with a divorce attorney. It was interesting because the behaviors I heard expressed in that video exactly aligned with behaviors I see expressed in failures to learn after large commitments of time investment in programming. It inspired me to write this: https://github.com/prettydiff/wisdom/blob/master/JavaScript_...

The most important learning for me out of this is that people are predictable and how we commit is modeled by how perceptions of rewards are attained. It also inspired me to dive deeper into self learning about behavior and economics, because people do exceptionally irrational things to avoid perceived discomfort.

> just want to know what makes a good web framework.

Personal opinion. A framework is an architecture in a box so that you, the developer, do not have to make as many decisions. Normally when developers are asking such questions they are seeking easiness: https://github.com/prettydiff/wisdom/blob/master/Easiness.md

Software developers, especially DOM fearing front developers love using the word easy. It isn’t so much an infatuation but more like a fatal attraction obsession where obstruction means war on a very emotional level. Ironically, people are loathe to confront these feelings openly and thus cannot define the word easy with any kind of clear practical application.

So, I did the world a favor and wrote just such a definition: https://github.com/prettydiff/wisdom/blob/master/Easiness.md...

Depends on the definition of simplicity. People say they want simple, but then really want easy. The most easy is always somebody doing the work for you. I got tired of hearing people mention easy when really they probably mean some combination of fearful and/or lazy, so I chose to define easiness:

https://github.com/prettydiff/wisdom/blob/master/Easiness.md

If developers really wanted simplicity or to be done with work faster they would just learn the primitives of their environment: DOM, functions, and events. Most of the frameworks have APIs that are huge, so clearly simplicity isn't what's wanted.

I have been running a Raspberry 2 cluster for 10 years: http://host.rupy.se

A few weeks back the first SD card to fail got so corrupted it failed to reboot!

My key learning is use oversized cards, because then the bitcycle will wear slower!

I'm going from 32GB to 256/512/1024!

How this article does not mention SSE, comet or chunking escapes me.

What does their definition of event-driven really look like in practice.

Nobody has a clue.

Here is the ideal event driven system, it's async-to-async: https://github.com/tinspin/rupy/wiki/Fuse

The example is not working because I had to shut down the services for multiple reasons, but the high level of it is that you use 4 (potentially different) threads to do one request/response middle man transaction.

That way you have _zero_ io-wait or idling. I'm surprised nobody has copied this approach since I invented it 10 years ago. I understand why though you need your entire chain to be async and that means rewriting everything and that is a big risk when it's hard to debug.

But if you succeed you can build something that is 10x perf/watt than all other implementations. Which is going to be important when interest rates go higher and crash our entire industry.

The hardware is peaking.

So software is where you can make the difference: http://host.rupy.se

I think we're all confused over the definition. Also one might understand what all the proponents are talking about better if they think about this more as a process and not some technological solution:

https://github.com/tinspin/rupy/wiki/Process

All input I have is you want your code to run on many machines, in fact you want it to run the same on all machines you need to deliver and preferably more. Vertically and horizontally at the same time, so your services only call localhost but in many separate places.

This in turn mandates a distributed database. And later you discover it has to be capable of async-to-async = no blocking ever anywhere in the whole solution.

The way I do this is I hot-deploy my applications async. to all servers in the cluster, this is what a cluster node looks like in practice (the name next to Host: is the node): http://host.rupy.se if you click "api & metrics" you'll see the services.

With this not only do you get scalability, but also redundancy and development is maintained at live coding levels.

I have hosted my own web server both physically and codevise since 2014.

It's on a Raspberry 2 cluster:

http://host.rupy.se

Since 2016 i have my own database also coded from scratch:

http://root.rupy.se

We need to implement HTTP/1.1 with less bloat, a C non-blocking web server that can share memory between threads is probably the most interesting project for humans right now, is anyone working on that?

I have one in Java: https://github.com/tinspin/rupy

Here is the 2000 lines of code of the entire database: http://root.rupy.se/code?path=/Root.java

And here you can try it out: http://root.rupy.se

The smallest PaaS you have ever seen is one order of magnitude larger than mine: https://github.com/tinspin/rupy

And I bet you the same goes for performance, if not two!

The data is here: http://fuse.rupy.se/about.html

Under Performance. Per watt the fuse/rupy platform completely crushes all competition because of 2 reasons:

- Event driven protocol design, averages at about 4 messages/player/second (means you cannot do spraying or headshots f.ex. which is another feature in my game design opinion).

- Java's memory model with atomic concurrency which needs a VM and GC (C++ copied that memory model in C++11, but it failed completely because they lack both VM and GC, but that model is still to this day the one C++ uses), you can read more about this here: https://github.com/tinspin/rupy/wiki

You can argue those points are bad arguments, but if you look at performance per watt with some consideration for developer friendlyness, I'm pretty sure in 100 years we will still be coding minimalist JavaSE on the server and vanilla C (compiled with C++ compiler) on the client.