Linux Journal Contents #205, May 2011
Linux Journal Issue #205/May 2011
Features
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Live-Fire Security Testing with Armitage and Metasploit
by Raphael Mudge
Defend your network by attacking it. Armitage and Metasploit give you the same techniques skilled attackers use, in an easy-to-use package.
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Virtual Security: Combating Actual Threats
by Jeramiah Bowling
Just because you've removed the physical, doesn't mean you've removed the risk.
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Build a Better Firewall—Linux HA Firewall Tutorial
by Mike Horn
Use a combination of open-source packages to build and manage a Linux-based HA firewall pair that includes support for many of the advanced features commonly found in commercial firewalls.
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Security Monitoring and Enforcement with Cfengine 3
by Aleksey Tsalolikhin
How can a configuration management tool increase security?
Indepth
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Installing an Alternate SSL Provider on Android
by Chris Conlon
A step-by-step tutorial on installing a third-party C library on Android.
Columns
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Reuven M. Lerner's At the Forge
Node.JS
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Dave Taylor's Work the Shell
Mad Libs Generator, Tweaks and Hacks
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Mick Bauer's Paranoid Penguin
DNS Cache Poisoning, Part I
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Kyle Rankin's Hack and /
Your Own Personal Server: Blog
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Kyle Rankin and Bill Childers' Tales from the Server
Room
Panic on the Streets of London
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Doc Searls' EOF
The Limits of Scale
Reviews
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Untangle's Multi-Functional Firewall Software
by Shawn Powers
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The Google Cr-48 Mario Chrome OS Notebook
by Daniel Bartholomew
In Every Issue
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
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Learn more about catching the bad guy in this free white paper.
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| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- RSS Feeds
- Validate an E-Mail Address with PHP, the Right Way
- Readers' Choice Awards
- Tech Tip: Really Simple HTTP Server with Python
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




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