Okay, story time.

Back during 2016, I decided to do a little experiment to test the viability of multithreading in a JavaScript server stack, and I'm not talking about the Node.js way of queuing I/O on background threads, or about WebWorkers that box and convert your arguments to JSON and back during a simple call across two JS contexts.

I'm talking about JavaScript code running concurrently on all cores. I'm talking about replacing the god-awful single-threaded event loop of ECMAScript – the biggest bottleneck in software history – with an honest-to-god, lock-free thread-pool scheduler that executes JS code in parallel, on all cores.

I'm talking about concurrent access to shared mutable state – a big, rightfully-hated mess when done badly – in JavaScript.

This rant is about the many mistakes I made at the time, specifically the biggest – but not the first – of which: publishing some preliminary results very early on.

Every time I showed my work to a JavaScript developer, I'd get negative feedback. Like, unjustified hatred and immediate denial, or outright rejection of the entire concept. Some were even adamantly trying to discourage me from this project.

So I posted a sarcastic question to the Software Engineering Stack Exchange, which was originally worded differently to reflect my frustration, but was later edited by mods to be more serious.

You can see the responses for yourself here: https://goo.gl/poHKpK

Most of the serious answers were along the lines of "multithreading is hard". The top voted response started with this statement: "1) Multithreading is extremely hard, and unfortunately the way you've presented this idea so far implies you're severely underestimating how hard it is."

While I'll admit that my presentation was initially lacking, I later made an entire page to explain the synchronisation mechanism in place, and you can read more about it here, if you're interested:

http://nexusjs.com/architecture/

But what really shocked me was that I had never understood the mindset that all the naysayers adopted until I read that response.

Because the bottom-line of that entire response is an argument: an argument against change.

The average JavaScript developer doesn't want a multithreaded server platform for JavaScript because it means a change of the status quo.

And this is exactly why I started this project. I wanted a highly performant JavaScript platform for servers that's more suitable for real-time applications like transcoding, video streaming, and machine learning.

Nexus does not and will not hold your hand. It will not repeat Node's mistakes and give you nice ways to shoot yourself in the foot later, like `process.on('uncaughtException', ...)` for a catch-all global error handling solution.

No, an uncaught exception will be dealt with like any other self-respecting language: by not ignoring the problem and pretending it doesn't exist. If you write bad code, your program will crash, and you can't rectify a bug in your code by ignoring its presence entirely and using duct tape to scrape something together.

Back on the topic of multithreading, though. Multithreading is known to be hard, that's true. But how do you deal with a difficult solution? You simplify it and break it down, not just disregard it completely; because multithreading has its great advantages, too.

Like, how about we talk performance?

How about distributed algorithms that don't waste 40% of their computing power on agent communication and pointless overhead (like the serialisation/deserialisation of messages across the execution boundary for every single call)?

How about vertical scaling without forking the entire address space (and thus multiplying your application's memory consumption by the number of cores you wish to use)?

How about utilising logical CPUs to the fullest extent, and allowing them to execute JavaScript? Something that isn't even possible with the current model implemented by Node?

Some will say that the performance gains aren't worth the risk. That the possibility of race conditions and deadlocks aren't worth it.

That's the point of cooperative multithreading. It is a way to smartly work around these issues.

If you use promises, they will execute in parallel, to the best of the scheduler's abilities, and if you chain them then they will run consecutively as planned according to their dependency graph.

If your code doesn't access global variables or shared closure variables, or your promises only deal with their provided inputs without side-effects, then no contention will *ever* occur.

If you only read and never modify globals, no contention will ever occur.

Are you seeing the same trend I'm seeing?

Good JavaScript programming practices miraculously coincide with the best practices of thread-safety.

When someone says we shouldn't use multithreading because it's hard, do you know what I like to say to that?

"To multithread, you need a pair."

NEW 6 Programming Language 2k16

1. Go

Golang Programming Language from Google

Let's start a list of six best new programming language and with Go or also known by the name of Golang, Go is an open source programming language and developed by three employees of Google and the launch in 2009, very cool just 3 people.

Go originated and developed from the popular programming languages ​​such as C and Java, which offers the advantages of compact notation and aims to keep the code simple and easy to read / understand. Go language designers, Robert Griesemer, Rob Pike and Ken Thompson, revealed that the complexity of C ++ into their main motivation.

This simple programming language that we successfully completed the most tasks simply by librariesstandar luggage. Combining the speed of pemrogramandinamis languages ​​such as Python and to handalan of C / C ++, Go be the best tools for building 'High Volume of distributed systems'.

You need to know also know, as expressed by the CTO Tokopedia namely Mas Leon, Tokopedia will switch to GO-lang as the main foundation of his system. Horrified not?

eh not watch? try deh see in the video below:

[Embedyt] http://youtube.com/watch/...]

2. Swift

Swift Programming Language from Apple

Apple launched a programming language Swift ago at WWDC 2014 as a successor to the Objective-C. Designed to be simple as it is, Swift focus on speed and security.

Furthermore, in December 2015, Swift Apple became open source under the Apache license. Since its launch, Swift won eye and the community is growing well and has become one of the programming languages ​​'hottest' in the world.

Learning Swift make sure you get a brighter future and provide the ability to develop applications for the iOS ecosystem Apple is so vast.

Also Read: What to do to become a full-stack Developer?

3. Rust

Rust Programming Language from Mozilla

Developed by Mozilla in 2014 and then, and in StackOverflow's 2016 survey to the developer, Rust was selected as the most preferred programming language.

Rust was developed as an alternative to C ++ for Mozilla itself, which is referred to as a programming language that focus on "performance, parallelisation, and memory safety".

Rust was created from scratch and implement a modern programming language design. Its own programming language supported very well by many developers out there and libraries.

4. Julia

Julia Programming Language

Julia programming language designed to help mathematicians and data scientist. Called "a complete high-level and dynamic programming solution for technical computing".

Julia is slowly but surely increasing in terms of users and the average growth doubles every nine months. In the future, she will be seen as one of the "most expensive skill" in the finance industry.

5. Hack

Hack Programming Language from Facebook

Hack is another programming language developed by Facebook in 2014.

Social networking giant Facebook Hack develop and gaungkan as the best of their success. Facebook even migrate the entire system developed with PHP to Hack

Facebook also released an open source version of the programming language as part of HHVM runtime platform.

6. Scala

Scala Programming Language

Scala programming termasukbahasa actually relatively long compared to other languages ​​in our list now. While one view of this programming language is relatively difficult to learn, but from the time you invest to learn Scala will not end up sad and disappointing.

The features are so complex gives you the ability to perform better code structure and oriented performance. Based programming language OOP (Object oriented programming) and functional providing the ability to write code that is capable of evolving. Created with the goal to design a "better Java", Scala became one behasa programming that is so needed in large enterprises.