AswinKumar kumaraswins

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.

	#!/bin/bash

	echo "Please enter the database name"
	read DB_NAME
	echo "Please enter the database password"
	read DB_PASSWORD
	sudo su postgres <<EOF
	psql -c 'CREATE DATABASE ${DB_NAME};'
	psql -c "CREATE ROLE ${DB_NAME} WITH LOGIN PASSWORD 'password';"
	psql -c 'GRANT ALL PRIVILEGES ON DATABASE ${DB_NAME} TO ${DB_NAME};'

	If you get this error
	docker: Got permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Post http://%2Fvar%2Frun%2Fdocker.sock/v1.40/containers/create: dial unix /var/run/docker.sock: connect: permission denied.
	See 'docker run --help'.
	execute the following command

	sudo chmod 666 /var/run/docker.sock

	var formulateData = function(oList){
	var json = {};
	for (var i=0;i<oList.length;i++){
	json[oList[i]["name"]] = oList[i]["value"]
	}
	return {"data":json};
	}

	# Byte-compiled / optimized / DLL files
	__pycache__/
	*.py[cod]
	*$py.class

	# C extensions
	*.so

	# Distribution / packaging
	.Python

	##########################
	# Application specfic
	##########################
	# config/config.js

	##########################
	# General
	##########################

	#####

	sudo mysql
	ALTER USER 'root'@'localhost' IDENTIFIED WITH mysql_native_password BY 'new-password';

	curl http://checkip.amazonaws.com

	import requests
	requests.get('http://checkip.amazonaws.com').text.rstrip()

	Informational - 1xx

	HTTP_100_CONTINUE
	HTTP_101_SWITCHING_PROTOCOLS

	Successful - 2xx

	HTTP_200_OK
	HTTP_201_CREATED
	HTTP_202_ACCEPTED

	worker_processes

	A worker process is a single-threaded process.

	If Nginx is doing CPU-intensive work such as SSL or gzipping and you have 2 or more CPUs/cores,
	then you may set worker_processes to be equal to the number of CPUs or cores.

	If you are serving a lot of static files and the total size of the files is bigger than the available memory,
	then you may increase worker_processes to fully utilize disk bandwidth.