Tim Ski marshyski

## nginx-tuning.md

      
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                denji
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                NGINX tuning for best performance
              
          
    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.

  
## Bootstrap-EC2-Windows-CloudInit.ps1
# Windows AMIs don't have WinRM enabled by default -- this script will enable WinRM
# AND install 7-zip, curl and .NET 4 if its missing.
# Then use the EC2 tools to create a new AMI from the result, and you have a system
# that will execute user-data as a PowerShell script after the instance fires up!
# This has been tested on Windows 2008 SP2 64bits AMIs provided by Amazon
#
# Inject this as user-data of a Windows 2008 AMI, like this (edit the adminPassword to your needs):
#
# <powershell>
# Set-ExecutionPolicy Unrestricted

## rest-server.py
#!flask/bin/python
from flask import Flask, jsonify, abort, request, make_response, url_for
from flask_httpauth import HTTPBasicAuth

app = Flask(__name__, static_url_path = "")
auth = HTTPBasicAuth()

@auth.get_password
def get_password(username):
    if username == 'miguel':

## app.py
from flask import Flask, render_template

app = Flask(__name__)

@app.route('/')
@app.route('/index')
def index(chartID = 'chart_ID', chart_type = 'bar', chart_height = 350):
	chart = {"renderTo": chartID, "type": chart_type, "height": chart_height,}
	series = [{"name": 'Label1', "data": [1,2,3]}, {"name": 'Label2', "data": [4, 5, 6]}]
	title = {"text": 'My Title'}

## angular-feed-reader
<!DOCTYPE html>
<html ng-app="RSSFeedApp">
<head>
  <meta http-equiv="content-type" content="text/html; charset=UTF-8">
  <title>AngularJS Feed Reader - jsFiddle demo</title>
  <script type='text/javascript' src="//code.jquery.com/jquery-1.9.1.min.js"></script>
  <script type='text/javascript' src='//cdnjs.cloudflare.com/ajax/libs/angular.js/1.1.1/angular.min.js'></script>
  <script src="//netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/js/bootstrap.min.js"></script>
  <link rel="stylesheet" type="text/css" href="//netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css">
  <link rel="stylesheet" type="text/css" href="//netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-responsive.min.css">

## gist:4647457
[cpu]
# Limits values for CPU user in %
# Defaults values if not defined: 50/70/90
user_careful=50
user_warning=70
user_critical=90
# Limits values for CPU system in %
# Defaults values if not defined: 50/70/90
system_careful=50
system_warning=70

## gist:2470806
# Puppet manifest

$DEPLOYIT_VERSION = '3.7.0'

#
# Install the latest Apache webserver
#
exec { "apt-update":
    command     => "/usr/bin/apt-get update",
}
	# Windows AMIs don't have WinRM enabled by default -- this script will enable WinRM
	# AND install 7-zip, curl and .NET 4 if its missing.
	# Then use the EC2 tools to create a new AMI from the result, and you have a system
	# that will execute user-data as a PowerShell script after the instance fires up!
	# This has been tested on Windows 2008 SP2 64bits AMIs provided by Amazon
	#
	# Inject this as user-data of a Windows 2008 AMI, like this (edit the adminPassword to your needs):
	#
	# <powershell>
	# Set-ExecutionPolicy Unrestricted
	#!flask/bin/python
	from flask import Flask, jsonify, abort, request, make_response, url_for
	from flask_httpauth import HTTPBasicAuth

	app = Flask(__name__, static_url_path = "")
	auth = HTTPBasicAuth()

	@auth.get_password
	def get_password(username):
	if username == 'miguel':
	from flask import Flask, render_template

	app = Flask(__name__)

	@app.route('/')
	@app.route('/index')
	def index(chartID = 'chart_ID', chart_type = 'bar', chart_height = 350):
	chart = {"renderTo": chartID, "type": chart_type, "height": chart_height,}
	series = [{"name": 'Label1', "data": [1,2,3]}, {"name": 'Label2', "data": [4, 5, 6]}]
	title = {"text": 'My Title'}
	<!DOCTYPE html>
	<html ng-app="RSSFeedApp">
	<head>
	<meta http-equiv="content-type" content="text/html; charset=UTF-8">
	<title>AngularJS Feed Reader - jsFiddle demo</title>
	<script type='text/javascript' src="//code.jquery.com/jquery-1.9.1.min.js"></script>
	<script type='text/javascript' src='//cdnjs.cloudflare.com/ajax/libs/angular.js/1.1.1/angular.min.js'></script>
	<script src="//netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/js/bootstrap.min.js"></script>
	<link rel="stylesheet" type="text/css" href="//netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css">
	<link rel="stylesheet" type="text/css" href="//netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-responsive.min.css">
	[cpu]
	# Limits values for CPU user in %
	# Defaults values if not defined: 50/70/90
	user_careful=50
	user_warning=70
	user_critical=90
	# Limits values for CPU system in %
	# Defaults values if not defined: 50/70/90
	system_careful=50
	system_warning=70
	# Puppet manifest

	$DEPLOYIT_VERSION = '3.7.0'

	#
	# Install the latest Apache webserver
	#
	exec { "apt-update":
	command => "/usr/bin/apt-get update",
	}