Linux Journal Contents #28, August 1996
Linux Journal Issue #28/August 1996
Features
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Beyond Your First Shell Script
by Brian Rice
How to write versatile, robust Bourne shell scripts that will run flawlessly under other shells as well.
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Diff, Patch, and Friends
by Michael K Johnson
De-mystifying patches and the tools used to create and apply them.
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Auto-loading Kernel Modules
by Preston F. Crow
Make your system leaner by modularizing the kernel.
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The Cold, Thin Edge
by Todd Graham Lewis
Taking the Shell Paradigm to its Brutal Limits. Whether you use Tcl, shells, Perl, or C, there is usually an option whereby tools from one programming environment can be imported into another. Here's how to “push the envelope”.
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Basic fvwm Configuration, Part 2
by John M Fisk
Customizing the Desktop. Organize and customize those pop-up menu entries.
News and Articles
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Mobile-IP
by Ben Lancki, Abhijit Dixit, and Vipul Gupta
Transparent Host Migration on the Internet
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Graphing with Gnuplot and Xmgr
by Andy Vaught
Two graphing packages available under Linux
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Certifying Linux
by Heiko Eissfeldt
Columns
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Letters to the Editor
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Stop the Presses
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Kernel Korner
Device Drivers Concluded
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Book Review
Bandits on the Information Superhighway
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Book Review
World Wide Web Journal, Issue One
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Book Review
Civilizing Cyberspace
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New Products
Directories & References
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.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
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Sponsored by DLT Solutions
| 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?
- RSS Feeds
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- Readers' Choice Awards
- The Secret Password Is...
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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