endolith

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mmueller

#!/usr/bin/env python
#
# Copyright 2009 Empeeric LTD. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

jordansissel

Failure.

MITRE has this thing called "CEE" - Common Event Expression.

CEE is a failure because, while claiming to be a standards effort, it maximizes incompatibility between implementations by doing the following:

• poorly describes multiple serialization formats, requires none of them. This ensures maximum incompatibility in event serialization
• defines requirements for log transport protocols, but does not describe an actual protocol. This ensures maximum protocol incompatibility
• naming style inconsistencies This ensures confusion

datagrok

This article is now published on my website: Prefer Subshells for Context.

lmacken

# sshtail.py
# A script to tail a file across many systems at once
# Author: Luke Macken <[email protected]>
# License: GPLv3+

import getpass
import subprocess

servers = ['app1', 'app2', 'app3', 'app4', 'app5', 'app6', 'app7']
logfile = '/var/log/httpd/access_log'

Jud

/*****************************************************************************
 *                QuantCup 1:   Price-Time Matching Engine
 *
 * Submitted by: voyager
 * 
 * Design Overview:
 *   In this implementation, the limit order book is represented using 
 *   a flat linear array (pricePoints), indexed by the numeric price value. 
 *   Each entry in this array corresponds to a specific price point and holds 
 *   an instance of struct pricePoint. This data structure maintains a list 

jordansissel

logstash queries graphed with graphite.

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.

ssokolow

[run]
omit =
    */python?.?/*
    */lib-python/?.?/*.py
    */lib_pypy/_*.py
    */site-packages/ordereddict.py
    */site-packages/nose/*
    */unittest2/*

lmacken

# A script to count the number of current and maximum fedmsg zeromq connections
# Author: Luke Macken <[email protected]>
# License: GPLv3

import requests

from multiprocessing.pool import ThreadPool
from BeautifulSoup import BeautifulSoup

num_proxies = 8

zzzeek

# script: https://github.com/zzzeek/sqlalchemy/blob/master/test/perf/orm2010.py

# cpython 2.7 with no C extensions
classics-MacBook-Pro:sqlalchemy classic$ export PYTHONPATH=lib/
classics-MacBook-Pro:sqlalchemy classic$ python test/perf/orm2010.py 
0 - Added 1000 boss objects
3 - Added 100000 grunt objects
29 - Associated grunts w/ bosses and committed
29 - Heavy query run #1
37 - Heavy query run #2