Linux Journal Contents #151, November 2006
Linux Journal Issue #151/November 2006
Features
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Interview with Tim Bray
by James Gray
Tim Bray releases Atomic energy.
-
Caller ID with Asterisk and Ajax
by Mike Diehl
Want to do your call screening by Web page?
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Migrating to Drupal
by Abhijeet Chavan and Michael Jelks
What drove Planetizen to migrate to Drupal?
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Simple Web Sites Using DocBook, XML and CSS
by David Lynch
How to build simple content Web sites using DocBook XML and CSS.
Indepth
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Linux and Open Source in Telecommunications
by Ibrahim Haddad
What's good about being disruptive?
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SMART (Smart Monitoring and Rebooting Tool)
by Albert Martorell
A smarter way to monitor services.
-
A Basic Text-Based Recording Studio
by Matthew Geddes
You don't need a fancy GUI to create a powerful recording studio.
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Building and Integrating a Small Office Intranet
by Dave Jones
Add server-side credentials to the LAMP stack.
-
Add Web Porn Filtering and Other Content Filtering to Linux Desktops
by Donald Emmack
Station DansGuardian over incoming Web content.
Columns
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Reuven M. Lerner's At the Forge
Beginning Ajax
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Marcel Gagné's Cooking with Linux
The Dynamic Web: for Those Who Like to Watch
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Dave Taylor's Work the Shell
Analyzing Log Files Redux
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Mick Bauer's Paranoid Penguin
Running Network Services under User-Mode Linux, Part I
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Jon “maddog” Hall's Beachhead
A Small Conference
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Doc Searls' Linux for Suits
The Search for Terrestrial Stupidity
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Nicholas Petreley's /var/opinion
Come Together
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
- Validate an E-Mail Address with PHP, the Right Way
- Drupal Is a Framework: Why Everyone Needs to Understand This
- A Topic for Discussion - Open Source Feature-Richness?
- The Secret Password Is...
- RSS Feeds
- New Products
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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