Alexandre Andrade maatthc

## datadog-nginx
"""
Custom parser for nginx log suitable for use by Datadog 'dogstreams'.
To use, add to datadog.conf as follows:
    dogstreams: [path to ngnix log (e.g: "/var/log/nginx/access.log"]:[path to this python script (e.g "/usr/share/datadog/agent/dogstream/nginx.py")]:[name of parsing method of this file ("parse")]
so, an example line would be:
    dogstreams: /var/log/nginx/access.log:/usr/share/datadog/agent/dogstream/nginx.py:parse
Log of nginx should be defined like that:
    log_format time_log '$time_local "$request" S=$status $bytes_sent T=$request_time R=$http_x_forwarded_for';
when starting dd-agent, you can find the collector.log and check if the dogstream initialized successfully
    """

## find_process_using_mcache.stp
//
// Find out which process is accessing Memcached on localhost.
// It uses SystemTap : https://sourceware.org/systemtap
// You will need the kernel-debuginfo-common, kernel-headers and kernel-debuginfo
// Packages installed.
//
probe begin {
  printf("%5s (%s) %15s %5s %15s  %5s  %s  %s  %s  %s  %s  %s\n",
         "PID", "CMD", "saddr", "SPORT", "daddr", "DPORT", "urg","ack","psh","rst","syn","fin")
}

## main.py
from inspect import getargspec;

import sys


class Consumer(object):
    def __init__(self, path, callback):
        print("Creating class..")
        self._path = path
        self._callback = callback

## CC_SoftLayer.py
import getpass
from cryptography.fernet import Fernet
import sys


def get_credentials():
    # SoftLayer Username/   Api Key encrypted
    encrypted_credentials = b''

    secret_key = getpass.getpass("Please enter your secret key: ")

## CC_Datadog.py
from datadog import initialize, api
import sys

def dd_init():
    dd_options = {
        'api_key': '',
        'app_key': ''
    }
    initialize(**dd_options)
    return api

## softlayer_cancel_servers.py
"""
    Cancel the server with SoftLayer, turn it off and mute the Datadog alerts for it.
    The host will be available until the next 16th day of the month.
"""

import SoftLayer
import sys
from  CC_SoftLayer import get_credentials as sl_get_cred
from  CC_Datadog import dd_init

## import_from_dd_to_nr.py
"""
Generate Server list for mRemote3G (former mRemoteNG) from Datadog Infrastructure List
mRemote3G : https://github.com/kmscode/mRemote3G
Datadog: app.datadoghq.com

Author: Alexandre Andrade
"""
import json
from urllib.request import Request, urlopen
from urllib.error import URLError, HTTPError

## tv_series.rb
puts "The Mick "
puts "Gap Year "
puts "Stan Lees Lucky Man "
puts "The Worst Witch "
puts "The Middle "
puts "Master of None "
puts "Sense8 "
puts "Da Vincis Demons "
puts "Scorpion "
puts "Citizen Khan "

## topN.py
#!/usr/bin/python
from sys import argv
import multiprocessing as mp
import time

# Ajust for number of cpus/memory
# Each process will sort an array of size : ratio_per_process  * size_array_largest
ratio_per_process = 30000
# Lets consolidate the Sort after some number of interations
num_interations = 50

## generate_big_file.py
#!/usr/bin/env python
from sys import argv, exit
import random

big_file_name = "big_file.txt"
max_size_of_number = 1000000
random.seed(123)

if len(argv) != 2:
  print "Usage: %s Num_Lines" % __file__
	"""
	Custom parser for nginx log suitable for use by Datadog 'dogstreams'.
	To use, add to datadog.conf as follows:
	dogstreams: [path to ngnix log (e.g: "/var/log/nginx/access.log"]:[path to this python script (e.g "/usr/share/datadog/agent/dogstream/nginx.py")]:[name of parsing method of this file ("parse")]
	so, an example line would be:
	dogstreams: /var/log/nginx/access.log:/usr/share/datadog/agent/dogstream/nginx.py:parse
	Log of nginx should be defined like that:
	log_format time_log '$time_local "$request" S=$status $bytes_sent T=$request_time R=$http_x_forwarded_for';
	when starting dd-agent, you can find the collector.log and check if the dogstream initialized successfully
	"""
	//
	// Find out which process is accessing Memcached on localhost.
	// It uses SystemTap : https://sourceware.org/systemtap
	// You will need the kernel-debuginfo-common, kernel-headers and kernel-debuginfo
	// Packages installed.
	//
	probe begin {
	printf("%5s (%s) %15s %5s %15s %5s %s %s %s %s %s %s\n",
	"PID", "CMD", "saddr", "SPORT", "daddr", "DPORT", "urg","ack","psh","rst","syn","fin")
	}
	from inspect import getargspec;

	import sys


	class Consumer(object):
	def __init__(self, path, callback):
	print("Creating class..")
	self._path = path
	self._callback = callback
	import getpass
	from cryptography.fernet import Fernet
	import sys


	def get_credentials():
	# SoftLayer Username/ Api Key encrypted
	encrypted_credentials = b''

	secret_key = getpass.getpass("Please enter your secret key: ")
	from datadog import initialize, api
	import sys

	def dd_init():
	dd_options = {
	'api_key': '',
	'app_key': ''
	}
	initialize(**dd_options)
	return api
	"""
	Cancel the server with SoftLayer, turn it off and mute the Datadog alerts for it.
	The host will be available until the next 16th day of the month.
	"""

	import SoftLayer
	import sys
	from CC_SoftLayer import get_credentials as sl_get_cred
	from CC_Datadog import dd_init
	"""
	Generate Server list for mRemote3G (former mRemoteNG) from Datadog Infrastructure List
	mRemote3G : https://github.com/kmscode/mRemote3G
	Datadog: app.datadoghq.com

	Author: Alexandre Andrade
	"""
	import json
	from urllib.request import Request, urlopen
	from urllib.error import URLError, HTTPError
	puts "The Mick "
	puts "Gap Year "
	puts "Stan Lees Lucky Man "
	puts "The Worst Witch "
	puts "The Middle "
	puts "Master of None "
	puts "Sense8 "
	puts "Da Vincis Demons "
	puts "Scorpion "
	puts "Citizen Khan "
	#!/usr/bin/python
	from sys import argv
	import multiprocessing as mp
	import time

	# Ajust for number of cpus/memory
	# Each process will sort an array of size : ratio_per_process * size_array_largest
	ratio_per_process = 30000
	# Lets consolidate the Sort after some number of interations
	num_interations = 50
	#!/usr/bin/env python
	from sys import argv, exit
	import random

	big_file_name = "big_file.txt"
	max_size_of_number = 1000000
	random.seed(123)

	if len(argv) != 2:
	print "Usage: %s Num_Lines" % __file__