Hualin Xiao drhlxiao

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.

	import math
	from bigfloat import *
	import matplotlib.pyplot as plt
	from visual import *

	# A class to handle the time ranges
	class timeHoursSeconds(object):
	def __init__(self,s,h,d,y):
	self.s = s
	self.h = h

	#!/usr/bin/env python
	# Implementation of algorithm from http://stackoverflow.com/a/22640362/6029703
	import numpy as np
	import pylab

	def thresholding_algo(y, lag, threshold, influence):
	signals = np.zeros(len(y))
	filteredY = np.array(y)
	avgFilter = [0]*len(y)
	stdFilter = [0]*len(y)