Linux Journal Contents #149, September 2006
Linux Journal Issue #149/September 2006
Features
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Clustering Is Not Rocket Science
by Rowan Gollan, Andrew Denman and Marlies Hankel
Want to compute rocket science without having to be a rocket scientist?
-
Getting Started with Condor
by Irfan Habib
Computers of different feathers can still flock together with Condor.
-
DRBD in a Heartbeat
by Pedro Pla
Build a good redundant system to prevent downtime.
-
Mainstream Parallel Programming
by Michael-Jon Ainsley Hore
Get a Beowulf cluster running without having to fight off Grendel.
Indepth
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S2 Games
by Dee-Ann LeBlanc
-
MILLE-XTERM and LTSP
by Francis Giraldeau, Jean-Michel Dault and Benoit des Ligneris
If you thought Network Computing was dead, wait until you read this.
-
64-Bit JMP for Linux
by Erin Vang
64-Bit Linux and JMP statistics software are made for each other.
-
Web Reporting with MySQL, CSS and Perl
by Paul Barry
Some nifty features in MySQL make Web reporting a breeze.
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eCrash: Debugging without Core Dumps
by David Frascone
You don't have to take a core dump to debug your programs.
Columns
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Reuven M. Lerner's At the Forge
JavaScript
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Marcel Gagné's Cooking with Linux
Operating Your Body at Peak Performance
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Dave Taylor's Work the Shell
When Is “Good Enough” Good Enough?
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Mick Bauer's Paranoid Penguin
How to Worry about Linux Security
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Dee-Ann LeBlanc's Get Your Game On
S2 Games
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Jon maddog Hall's Beachhead
Pirates and Pollywogs
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Doc Searls' Linux for Suits
An Interview with J.P. Rangaswami
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Nicholas Petreley's /var/opinion
Parallel Is Coming into Its Own
Reviews
-
CrossOver Office 5.0
by Jes Hall
-
PathScale InfiniPath Interconnect
by Logan G. Harbaugh
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.
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| Designing Electronics with Linux | May 22, 2013 |
| 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 |
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!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
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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