Free Issue of Linux Journal
If you're not yet subscribed to Linux Journal, you're missing out on seriously in-depth technical projects, articles, and reviews that you can't find here on LinuxJournal.com. Not to mention our famous (and even award-winning) authors' monthly columns which include:
- Reuven Lerner's At The Forge: focuses on leading-edge Linux application development trends
- Kyle Rankin's Hack and / : divulging and exploring tweaks and hacks for sys admins
- Marcel Gagne's Cooking with Linux: walks you through desktop Linux apps how-tos
- Mick Bauer's Paranoid Penguin: featuring hands-on security information that our readers can put to use in their jobs
- Dave Taylor's Work the Shell: shows you how to create and tweak common shell scripts and solve vexing admin problems
- Doc Searls' EOF: discusses the technical, management and social issues critical to the Linux community
- Zack Brown's diff -u: explores what's new in kernel development
...and don't forget about all of our cool features and reviews. Speaking of reviews, our next issue alone will feature Minirok, Perfect Match, FpcBol, the OLPC XO, CeltX, Zimbra Desktop, and COWON iAudio 7 reviews. SEE, LOTS OF STUFF YOU CAN'T MISS OUT ON!
Ok, I've rambled on enough. Please subscribe to Linux Journal. You won't be disappointed. In fact, I'll make it even easier on you. Simply download a free issue today. See for yourself what you're missing.
Carlie Fairchild is the publisher of Linux Journal.
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 |
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!
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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