What Is Linux
About a year ago I was talking to some friends about the ideaof starting a free software magazine. After a few meetings we realized that “free” was a very arbitrary term and what was really needed was a magazine that looks for the best value in software for the consumer. We quickly realized this would be a huge effort and how the subcription cost would be high because it couldn't carry advertising if it was to be totally objective. After all, companies with the biggest advertising budget seldom have the lowest prices.
At that time I had started playing with Linux. Having run Unixon PCs for about 8 years I was interested to see what Linux had to offer. I quickly came to the conclusion that Linux was betterthan many commercial Unix systems and was rapidly growing intoan amazingly nice product. I mentioned the idea of a Linux magazine to the team I had been working with on the free software magazine expecting them to discount it. Instead virtually all of themthought it was a good idea.
I distributed a questionnaire at a local Linux meeting and alsoon the Internet. Again, feedback was very positive so we decided that LJ was the way to go. After a few disasters we managed to hook up with Bob Young, publisher of New York Unix, and you see the result. Where we go from here is up to you. Initial articles and columnsare based on the interests expressed in the questionnaires that were returned. I encourage you, the reader to write or e-mail me with what you want to see in LJ. Our goal is to further theinterests of the Linux community. You are that community so let us know what you want.
Phil Hughes
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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| 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 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
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- Using Salt Stack and Vagrant for Drupal Development
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- Drupal Is a Framework: Why Everyone Needs to Understand This
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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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