Linux Journal Contents #126, October 2004
Linux Journal Issue #126/October 2004
Features
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Point-to-Point Linux
by Phil Hollenback
When this Manhattan investment company decided to mirror its critical data off-site, the IS staff built their own T3 and T1 routers. How did that work, and would they do it again?
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SQL Comes to Nmap: Power and Convenience
by Hasnain Atique
Port-scan your own hosts to find misconfigured and unauthorized services. Put all that data into a database, and you can keep track of thousands of systems.
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Setting Up Virtual Security Zones in a Linux Cluster
by Makan Pourzandi and Axelle Apvrille
When projects need to share the Linux cluster but shouldn't see each other's data, split your in-demand cluster into separate virtual ones.
Indepth
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Introduction to Sound Programming with ALSA
by Jeff Tranter
The 2.6 kernel brings new capabilities to the Linux sound API. We cover the essentials with a working sound recording app.
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The Politics of Porting
by Stephen C. Forster
Don't do this. It could get you fired. Unless your company is really shooting itself in the foot, then you've got to do what you've got to do.
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Linux Tools for Professional Photography
by RW Hawkins
Tweak your system to make photo colors accurate, and more. Now you won't get a nasty surprise when the photo you send to Linux Journal shows up all wrong.
Embedded
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Porting RTOS Device Drivers to Embedded Linux
by Bill Weinberg
Your old real-time operating system made you do a lot for yourself as a driver author. Take advantage of the facilities Linux offers and clean up some spaghetti code while you're at it.
Toolbox
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At the Forge
Syndication with RSS
by Reuven M. Lerner
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Kernel Korner
Filesystem Labeling in SELinux
by James Morris
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Cooking with Linux
The Game of Security
by Marcel Gagné
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Paranoid Penguin
Linux Filesystem Security, Part I
by Mick Bauer
Columns
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Linux for Suits
Bridging the Gap
by Doc Searls
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EOF
Dear Laptop Vendor
by Lincoln D. Durey
Reviews
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IBM's IntelliStation A Pro
by Chris DiBona
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Security Warrior
by Dan York
Departments
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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