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""" | |
Requeriments: | |
$ sudo pip install boto dnspython | |
Edit ~/.boto to use your AWS credentials | |
""" | |
import time | |
import sys |
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{% if grains['os'] == 'Ubuntu' %} | |
{% from "pkg_repo/apt.sls" import apt_repo with context %} | |
{% if pillar['pkg_mirrors_enabled'] %} | |
{% set mirrors = ['http://' + pillar['pkg_mirror'] + '/10gen/repo/upbuntu-upstart/', | |
'http://downloads-distro.mongodb.org/repo/ubuntu-upstart/'] %} | |
{% else %} | |
{% set mirrors = ['http://downloads-distro.mongodb.org/repo/ubuntu-upstart/'] %} | |
{% endif %} | |
{{ apt_repo('10gen', mirrors, codename='dist', components=['10gen'], key_id='7F0CEB10') }} |
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I pass these options to the varnishncsa daemon (this line is from my /etc/init.d/varnishncsa)... | |
DAEMON_OPTS="-a -F "\''%h "%{X-Forwarded-For}i" %u %t "%r" %s %b "%{Referer}i" "%{User-agent}i" %{Varnish:time_firstbyte}x %{Varnish:handling}x'\'" -c -w ${LOGFILE} -D -P $PIDFILE" | |
I parse that with the following grok pattern... | |
VARNISHNCSALOG %{IPORHOST:remoteip} %{QUOTEDSTRING:xforwardedfor} %{USER:auth} \[%{HTTPDATE:timestamp}\] "%{WORD:verb} %{NOTSPACE:request} HTTP/%{NUMBER:httpversion}" (?:%{NUMBER:status}|\(null\)) (?:%{NUMBER:bytes}|-) "(?:%{NOTSPACE:referrer}|-)" %{QUOTEDSTRING:agent} %{BASE10NUM:berespms} %{WORD:cache} |
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#!/usr/bin/env python | |
""" | |
Produces load on all available CPU cores | |
""" | |
from multiprocessing import Pool | |
from multiprocessing import cpu_count | |
def f(x): | |
while True: |
Operation: Decouple whisper from graphite.
Method: Create a graphite function that does a date histogram facet query against elasticsearch for a given query string for the time period viewed in the current graph.
Reason: graphite has some awesome math functions. Wouldn't it be cool if we could use those on logstash results?
The screenshot below is using logstash to watch the twitter stream of keywords "iphone" "apple" and "samsung" - then I graph them each, so we get an idea of popularity. As a bonus, I also do a movingAverage() on the iphone curve to show you why this is awesome.
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require 'spec_helper' | |
describe 'elasticsearch', :type => 'class' do | |
it do | |
should contain_file('elastic_conf').with( | |
{ | |
'ensure' => 'present', | |
'path' => '/opt/elasticsearch/config/elasticsearch.yml' | |
}) |
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# -*- encoding: utf-8 -*- | |
import sys | |
#print sys.argv | |
if len(sys.argv) < 3: | |
print "usage: %s [start] [end]" % sys.argv[0] | |
sys.exit(1) | |
start = int(sys.argv[1]) |
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#################################### | |
# BASIC REQUIREMENTS | |
# http://graphite.wikidot.com/installation | |
# http://geek.michaelgrace.org/2011/09/how-to-install-graphite-on-ubuntu/ | |
# Last tested & updated 10/13/2011 | |
#################################### | |
cd | |
sudo apt-get update | |
sudo apt-get upgrade |
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cd ~ | |
sudo add-apt-repository ppa:dlecan/openjdk | |
sudo apt-get update | |
sudo apt-get install openjdk-7-jre -y | |
wget https://github.com/downloads/elasticsearch/elasticsearch/elasticsearch-0.19.7.tar.gz -O elasticsearch.tar.gz | |
tar -xf elasticsearch.tar.gz | |
rm elasticsearch.tar.gz | |
sudo mv elasticsearch-* elasticsearch | |
sudo mv elasticsearch /usr/local/share |