Osama Adil phr3nzy

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.

	# Project Policy

	This policy provides a single, authoritative, and machine-readable source of truth for AI coding agents and humans, ensuring that all work is governed by clear, unambiguous rules and workflows. It aims to eliminate ambiguity, reduce supervision needs, and facilitate automation while maintaining accountability and compliance with best practices.

	# 1. Introduction

	> Rationale: Sets the context, actors, and compliance requirements for the policy, ensuring all participants understand their roles and responsibilities.

	## 1.1 Actors

	name: 'CI'
	on:
	push:
	branches:
	- main
	- staging
	jobs:
	test:
	runs-on: ubuntu-latest
	strategy:

	// Because we're using an ORM (Objection), it's a pain to add a tsvector when inserting,
	// since tsvectors and FTS aren't supported by Objection. Instead, I've added a hook that
	// fires on insert which auto-generates the tsvector field for each newly inserted entry.
	// This is an example knex migration file for said behavior.

	const addUserIndex = `
	ALTER TABLE public.user ADD "document" tsvector;

	CREATE FUNCTION my_trigger_function()
	RETURNS trigger AS $$