zytek

####
####
# Terraform manifest that creates spot fleet by copying attributed from currently running instance.
# Is has a lot of copy-pasing due to two terraform 0.11 bugs
# - tags with dots in key names forced to copy-paste them in this manifest
# - instance data source does not provide user data script so it had to be manually copied to a file along with this manifest
# both bugs are being worker on in terraform 0.12


data "aws_caller_identity" "current" {}

atoponce

Cryptographic Best Practices

Putting cryptographic primitives together is a lot like putting a jigsaw puzzle together, where all the pieces are cut exactly the same way, but there is only one correct solution. Thankfully, there are some projects out there that are working hard to make sure developers are getting it right.

The following advice comes from years of research from leading security researchers, developers, and cryptographers. This Gist was [forked from Thomas Ptacek's Gist][1] to be more readable. Additions have been added from

ripienaar

% sudo docker exec -ti exim container --inspect
Container first started at 2015-11-10 05:18:52 +0000 (1447132732) in environment production

Container management methods:

   Container supports START method using command /srv/support/bin/start.sh
   Container does not support the UPDATE method
   Container supports VALIDATE method using command /srv/support/bin/validate.sh

Metadata for image centos_base

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

phobos182

input {
  syslog {
    type => "haproxy-access"
    port => 514
  }
}

filter {
  grok { 
    type => "haproxy-access"

srinivasmohan

#!/usr/bin/ruby
require 'rubygems'
require 'hipchat-api'
require 'getopt/long'
require 'socket'
require 'erb'
 
#Do not modify these constants! (after you set these up, of course)
HipApiKey='ABCDEFGHKJHKJHKJHKJH'
Room='Nagios'