Linux Journal Contents #91, November 2001
Linux Journal Issue #91/November 2001
Features
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Open-Source Web Servers: Performance on Carrier-Class Linux Platform
by Ibrahim F. Haddad
Apache, Jigsaw and Tomcat compete for benchmark glory.
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Moving to PostgreSQL's Object-Relational DBMS
by Chris Volpe
Cleaning house—moving to PostgreSQL one step at a time.
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The Scalable Test Platform
by Nathan Dabney
OSDL offers open-source developers an invaluable resource.
Indepth
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More Than Word(s)
by Jan Schaumann
Dealing with pesky .docs with some lean and clean word processing alternatives.
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Getting Your Palm to Talk to a Linux Box
by Johan Coppieters and Kevin Velghe
Linux Box and Palm—sure they're different but that doesn't mean they shouldn't talk to each other.
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Building the Ultimate Linux Box
by Eric S. Raymond
Teaming up with hardware experts to build a couple of dream Linux machines.
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2001 Readers' Choice Awards
by Heather Mead
The results are in—read 'em if you dare.
Toolbox
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At the Forge Data Modeling with DODS
by Reuven M. Lerner
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Cooking with Linux Enterprise—Help for Sys Admins
by Marcel Gagné
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Paranoid Penguin Detecting Suspect Traffic
by Michael Rash
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Linux in Education Implementing a Research Knowledge Base
by Michael Yuan
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GFX XFree86 4.1.0 and ATI Radeon
by Robin Rowe
Columns
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Focus on Software
Applications for Your Enterprise
by David A. Bandel
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Focus on Embedded Systems
Embedded Linux: A Timely New Book
by Rick Lehrbaum
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Linux for Suits Original and Instant
by Doc Searls
Original and Instant
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Geek Law
More on Trademarks
by Lawrence Rosen
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
- Build a Skype Server for Your Home Phone System
- Validate an E-Mail Address with PHP, the Right Way
- A Topic for Discussion - Open Source Feature-Richness?
- Why Python?
- 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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