1997 Readers' Choice Awards
Winner: Linux v2 Information Headquarters \thttp://www.linuxhq.com/
Runner Up: The Linux Documentation Project \thttp://sunsite.unc.edu/LDP/ \thttp://www.ssc.com/linux/resources/ldp.html
With so many excellent Linux web pages out there this category was quite competitive. The Linux v2 Information Headquarters won by just a few votes with the Linux Documentation Project close behind.
Winner: ISDN
Runner Up: Laser Printer
The Most Desired Upgrade was for faster connectivity through ISDN. Second on our Readers' wish list was a laser printer.

Winner: Quake
Runner Up: Doom
Quake, the 3-D monster killing fest, topped our Readers' list as their favorite Linux Game, followed by Doom, another 3-D monster killing fest.

Winner: Intel
Runner Up: PowerMac
The Primary Platform that LJ Readers are using is, not surprisingly, Intel. Making a good showing in second place was Linux on the PowerMac (MkLinux).
Winner: Pine
Runner Up: Elm
This category came down to a competition between the two most common mailers, Pine and Elm. Pine was the decisive winner, receiving over twice as many votes as Elm.
Winner: XFree
Runner Up: Accelerated X
XFree is the X-server of choice amongst voters in this poll. The free X-Server XFree topped second place Accelerated X by over 2000 votes.
Winner: fvwm
Runner Up: fvwm-95
The clear winner in the Window Manager category is fvwm with the Windows95 look-alike fvwm-95 in second place.

Winner: SOLID Server
Runner Up: Empress RDBMs
SOLID Server was a clear winner in the very competitive database category garnering almost three times as many votes as its nearest competitor, Empress RDBMs.
Winner: xfm
Runner Up: Northern Commander
xfm won as Favorite File Manager. Northern Commander finished second.

Winner: BRU
Runner Up: CTAR
LJ Readers' voting shows that they prefer to back up their data with BRU.
Winner: RealAudio
Runner Up: TiMidity
From a list of over 20 possibilities Real Audio (first) and TiMidity (second) were the winners in this category.
More information about the products and programs included in this article (or other Linux hardware and software) is available through our Linux Resources web site at http://www.ssc.com/linux/.
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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| 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
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- 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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