Linux Journal Contents #150, October 2006
Linux Journal Issue #150/October 2006
Features
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Call MisterHouse to Regulate Your Heat
by David Lynch
One-Wire interfaces and MisterHouse come to the rescue for allergies.
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Do-It-Yourself Robots with Linux
by Michael Surran
Robotics made easy—especially if you get free sonar detectors.
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Building a Digital Lifestyle with Open-Source Technology
by Mike Diehl
Proof positive that nerds have all the cool toys.
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Manage Your Photos with F-Spot
by Daniel Bartholomew
Get a taste of the power of Mono in this photo management tool.
Indepth
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Advanced Video Coding on Linux
by Dave Berton
How do you make high-quality low-bitrate digital video?
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Chapter 10: Personalizing Ubuntu: Getting Everything Just Right
by Keir Thomas
Whoever thinks you can't personalize a GNOME desktop needs to think again.
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Digital Photography and Linux
by Adrian Klaver
Whether you're Kooka or SANE, these digital photography tools could be for you.
Columns
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Reuven M. Lerner's At the Forge
JavaScript, Forms and Ajax
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Marcel Gagné's Cooking with Linux
Your Media: Out of the Kitchen, and into Every Other Place
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Dave Taylor's Work the Shell
Analyzing Log Files
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Jon “Maddog” Hall's Beachhead
What's in a Name?
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Doc Searls' Linux for Suits
Breaking the Matrix
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Nicholas Petreley's /var/opinion
MythTV Goes Amiss
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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| 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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