Amrih Prakasa prakasa-tkpd

V8

V8 is Google’s open source high-performance JavaScript and WebAssembly engine, written in C++. It is used in Chrome and in Node.js, among others. It implements ECMAScript and WebAssembly, and runs on Windows 7 or later, macOS 10.12+, and Linux systems that use x64, IA-32, ARM, or MIPS processors. V8 can run standalone, or can be embedded into any C++ application.

SpiderMonkey

SpiderMonkey is Mozilla’s JavaScript and WebAssembly Engine, used in Firefox, Servo and various other projects. It is written in C++, Rust and JavaScript. You can embed it into C++ and Rust projects, and it can be run as a stand-alone shell. It can also be [compiled](https://bytecodealliance.org/articles/making-javascript-run-fast-on

example: https://medium.com/swlh/build-and-use-go-packages-as-c-libraries-889eb0c19838

https://medium.com/@walkert/fun-building-shared-libraries-in-go-639500a6a669

https://www.darkcoding.net/software/building-shared-libraries-in-go-part-2/

https://karthikkaranth.me/blog/calling-c-code-from-go/

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

	##based on Mesosphere Marathon's servicerouter.py haproxy config

	global
	daemon
	log 127.0.0.1 local0
	log 127.0.0.1 local1 notice
	maxconn 4096
	tune.ssl.default-dh-param 2048

	defaults