Linux Journal Contents #98, June 2002
Linux Journal Issue #98/June 2002
Features
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Kode KDE Kindly, Kan You?
by Jason Mott
Help Linux conquer the desktop with your own KDE app.
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Emacs: the Free Software IDE
by Charles Curley
Not just for text editing—Emacs is the IDE that's been there all along.
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Mediator/Python
by Doug Farrell
Sure it's no system for a basis of government, but Python can help build smart dialog boxes.
Interview
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Python 2.2 Q&A with Guido van Rossum, Creator of Python
by Wesley J. Chun
No full monty, just Guido's honest opinions.
Indepth
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The OSCAR Revolution
by Richard Ferri
Making clusters easy to build for the nonprogrammer.
Toolbox
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Kernel Korner A NATural Progression
by David A. Bandel
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At the Forge Zope Page Templates
by Reuven M. Lerner
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Cooking with Linux Programming Life!
by Marcel Gagné
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Paranoid Penguin BestCrypt: Cross-Platform Filesystem Encryption
by Mick Bauer
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GFX Silicon Grail RAYZ
by Robin Rowe
Columns
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Focus on Software
Striking a Nerve
by David A. Bandel
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Focus on Embedded Systems
Embedded Systems Conference 2002
by Rick Lehrbaum
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Geek Law
Bad Law
by Lawrence Rosen
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Linux for Suits
Identity from the Inside Out
by Doc Searls
Reviews
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Hewlett-Packard x4000 Workstation
by Thad Beier
Departments
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Letters
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upFRONT
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From the Editor From the Editor
by Richard Vernon
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Best of Technical Support
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New Products
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
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
| Introduction to MapReduce with Hadoop on Linux | Jun 05, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Validate an E-Mail Address with PHP, the Right Way
- Technical Support Rep
- Senior Perl Developer
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Introduction to MapReduce with Hadoop on Linux
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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