markuskont

# Install ARCH Linux with encrypted file-system and UEFI
# The official installation guide (https://wiki.archlinux.org/index.php/Installation_Guide) contains a more verbose description.

# Download the archiso image from https://www.archlinux.org/
# Copy to a usb-drive
dd if=archlinux.img of=/dev/sdX bs=16M && sync # on linux

# Boot from the usb. If the usb fails to boot, make sure that secure boot is disabled in the BIOS configuration.

# Set swedish keymap

markuskont

package main

import (
  "fmt"
  "log"
  "strings"
  "time"
  "sync"
  "sync/atomic"
  "os"

markuskont

$provision_script = <<SCRIPT

apt-get update

GOLANG="go1.8.3.linux-amd64.tar.gz"


cd /vagrant
[[ -f $GOLANG ]] || wget -q -4 https://storage.googleapis.com/golang/$GOLANG
tar -zxvf $GOLANG -C /usr/local/ > /dev/null 2>&1

markuskont

# clear all messages in kafka topics by temorarily changing retention time in (in ms)
# doing this with kafka-topics.sh may be deprecated in future
MS=1000
IP=127.0.0.1
for topic in `./kafka-topics.sh --list --zookeeper $IP:2181` ; do ./kafka-topics.sh --zookeeper $IP:2181 --alter --topic $topic --config retention.ms=$MS ; done
MS=259200000
...

# show consumer groups
./kafka-consumer-groups.sh --zookeeper $IP:2181 --list

markuskont

FROM node:6.11.5-slim
WORKDIR /opt/app

ARG port=9995
ARG topic=test-topic-1
ARG zookeeper=zoo1

RUN apt-get update && \
    apt-get install -y python build-essential && \
    rm -rf /var/lib/apt/lists/*

markuskont

1. General Background and Overview

• 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.
• Models and Issues in Data Stream Systems
• 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
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

markuskont

version=2

include=/opt/liblognorm-rulebase/stdtypes.rb

type=@ssh:%[
  {"type": "ipv4", "name":"src_ip"},
  {"type": "whitespace"},
  {"type": "number", "name":"src_port"},
  {"type": "whitespace"},
  {"type": "ipv4", "name":"dst_ip"},

markuskont

 FROM ubuntu:16.04
 
 RUN echo "deb http://cran.rstudio.com/bin/linux/ubuntu xenial/" | tee -a /etc/apt/sources.list && \
     gpg --keyserver keyserver.ubuntu.com --recv-key E084DAB9 && \
     gpg -a --export E084DAB9 | apt-key add -
 
 RUN apt-get update && apt-get install -y sudo gdebi-core wget libxslt1-dev libxkbcommon-dev libxcb-xkb-dev libxslt1-dev libgstreamer-plugins-base0.10-dev libgl1-mesa-glx libgl1-mesa-dri
 RUN apt-get install -y r-base r-base-dev
 RUN apt-get build-dep -y r-cran-rgl
 

markuskont

package main

import(
  "fmt"
  "flag"
  "errors"
  "math/bits"
  "os"
  "log"
  "bufio"

markuskont

package main

import (
	"bufio"
	"encoding/json"
	"errors"
	"flag"
	"fmt"
	"io/ioutil"
	"log"