Linux Journal Readers' Choice Awards
This first year, the Readers' Choice awards have only three broad catagories. One of the most common requests was for us to expand our catagories significantly, which we will consider for next year's awards.
Tied for first place were Running Linux, by Matt Welsh and Lar Kaufman, and Sendmail: Theory and Practice, by Frederick M. Avolio and Paul A. Vixie. A close second was Tcl and the Tk Toolkit, by John Ousterhout.
Running Linux has sold out of several printings, and O'Reilly has announced that they will be selling it with a companion CDROM package containing Red Hat Commercial Linux.
First place in the hardware catagory was the Cyclades family of multiport serial boards, and second place was the Comtrol family of multiport serial boards.
Both of these vendors fully support the Linux drivers for their products, and the Cyclades driver is part of the mainline Linux source tree. In addition, when Cyclades released their first PCI-based multiport serial board, they prepared the Linux driver before drivers for any other operating system.
First place goes to Ishmail, a powerful mail-reading application for Linux. Tied for second were BB Tool, a stock charting application, and BRU, the Backup and Restore Utility. Many readers wanted to vote for more than one subcatagory of software; they considered choosing between an application and a tool (for instance) impossible and insane. (We would like to thank them for doing the impossible and becoming temporarily insane for us...)
While there were obviously many readers who like Ishmail, we suspect that one of them posted to an Ishmail mailing list about the survey, since the majority of the votes for Ishmail came in over a period of only a few hours. Even without those votes, Ishmail would still have won, as well as we can tell.
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 |
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- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
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!
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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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