Linux Journal Contents #112, August 2003
Linux Journal Issue #112/August 2003
Features
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Implementing Encrypted Home Directories
by Mike Petullo
Keep your files safely encrypted when you're logged out, and automatically get access when you log in.
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Take Control of TCPA
by David Safford, Jeff Kravitz and Leendert van Doorn
The free code behind IBM's new security chip. Menace or protector?
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The Power of the Incredible Hulk—The ILM Linux Death Star
by Robin Rowe
This fully operational battle station is a 750-node Linux cluster running a custom batch scheduling program.
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Root for All on the SE Linux Play Machine
by Russell Coker
Set visitors loose as root and see what they break—can SE Linux alone keep the system safe?
Indepth
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Eleven SSH Tricks
by Daniel R. Allen
You know it's the secure way to connect to your server. But OpenSSH is fast and convenient too.
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VTun
by Ryan Breen
Need to make a secure connection from home? Set up a simple virtual private network?
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2003 Editors' Choice Awards
With all the great Linux stuff introduced in the past year, these are some of the hardest decisions we've ever made.
Embedded
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Driving Me Nuts Device Classes
by Greg Kroah-Hartman
Toolbox
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Kernel Korner NSA Security Enhanced Linux
by Faye Coker
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At the Forge CMF Types
by Reuven M. Lerner
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Cooking with Linux Illuminating Your Network's Darkest Corners
by Marcel Gagné
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Paranoid Penguin Authenticate with LDAP
by Mick Bauer
Columns
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Linux for Suits Practical Penguin Progress
by Doc Searls
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EOF Consider Accessibility
by Janina Sajka
Reviews
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Red Hat 9
by Marco Fioretti
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 |
- Designing Electronics with Linux
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Dynamic DNS—an Object Lesson in Problem Solving
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- Validate an E-Mail Address with PHP, the Right Way
- Build a Skype Server for Your Home Phone System
- Why Python?
- A Topic for Discussion - Open Source Feature-Richness?
- 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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