Linux Journal Contents #79, November 2000
Linux Journal Issue #79/November 2000
Features
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Focus: Hardware
by Don Marti
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Building the Ultimate Linux Workstation
by Don Marti
Here's how to make a responsive system with high-performance 3-D, fast disk, lush sound and the things to keep it trouble-free.
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AMD's Duron Processor
by Don Marti
A $70 CPU may be all that you need. We take a first look at AMD's Duron, an excellent choice for midrange desktop Linux machines.
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The Return of the Revenge of the Killer $800 Linux Box
by Jason Schumaker
Can't afford Don Marti's “Ultimate” Linux box? Well, read on...Jason outlines options for the economically challenged.
Indepth
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Readers' Choice Awards
by Heather Mead
Enough about us already; what do you think?
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Penguin Playoff Follow-Up
by Doc Searls
Athletic flightless waterfowl? No, just the skinny on the Comdex exhibitor awards ceremony.
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LTOOLS
by Dr. Werner Zimmermann
If you work with multiple platforms, LTOOLS may offer a way to make your life a whole lot easier.
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A Web-Based Lunch Ordering System
by Cheng-Chai Ang
The author demonstrates how easy it is to write in Python—and make sure you get steamed, not fried rice.
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Bare Metal Restore
by Charles Curley
Most of us don't take the time to place for disaster recovery. This article gives you the step-by-step.
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Software ICs
by Robert D. Findlay
“Complexity must be grown from simple systems that already work.”
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GNU Queue
by W. G. Krebs
Farm those jobs out with Gnu Queue!
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Customize Linux from the Bottom
by He Zhu
Can't find a system that has everything you want? Build your own.
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Linux as a Work Environment Desktop
by Mark Stacey
Tips and suggestions for using Linux on the desktop in a non-Linux workplace.
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Linux and Networking: The Next Revolution
by Marcio Saito
Recent changes in the areas of both software and hardware are combining to revolutionize networking.
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Dissecting the CueCat
by Michael Guslick
Getting inside the CueCat.
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A Conversation with Red Hat's Michael Tiemann
by Dan Wilder
How embedded systems have become a part of Red Hat's operations.
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It's Mod. It's Layout. Any Questions?
by Brian Aker
Web composition solutions provided by ModLayout.
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Real Hard Time
by Doc Searls
MontaVista's announcement was not met with universal approval.
Toolbox
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At the Forge Using PostgreSQL
by Reuven M. Lerner
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Cooking with Linux Aging Systems for Flavour
by Marcel Gagné
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Linux Apprentice Where to Install My Products on Linux
by George Kraft IV
Columns
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Linley on Linux Seeking Set-Top Nirvana
Focus on Software
by Linley Gwennap
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Embedded Systems News
by Rick Lehrbaum
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The Last Word
by Stan Kelly-Bootle
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Linux for Suits Let Freedom Ping
by Doc Searls
Reviews
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MySQLGUI—The MySQL Graphical Client
by Bill W. Cunningham
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Linux System Security
by Ibrahim Haddad
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SAMBA Black Book
by Daniel Lazenby
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GNOME/GTK+ Programming
by Ben Crowder
Departments
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Letters
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upFRONT
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Jason's Tips
by Jason Schumaker
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From the Publisher Announcement
by Phil Hughes
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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
| 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 |
| Android's Limits | Jun 04, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Linux Systems Administrator
- Introduction to MapReduce with Hadoop on Linux
- Senior Perl Developer
- Technical Support Rep
- Weechat, Irssi's Little Brother
- UX Designer
- One Tail Just Isn't Enough
- Android's Limits
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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