Goodbye
It is always hard to say goodbye.
This is the last issue of Linux Journal that I will be editing. I am moving on to do programming for Red Hat Software.
I have enjoyed editing Linux Journal.
Linux Journal has been and will continue to be an important part of the Linux community. And I am not really saying goodbye to LJ in any real sense—I intend to continue to write LJ articles. I will be busy doing things, rather than talking about them, and I enjoy occasionally writing about the things I am doing.
—MKJ
Hello It's me, your new editor. My qualifications?
I've been a musician since the age of 16—guitars and (now) mandolin;
my first computer, a Kaypro, ran CP/M;
my first Linux was 1.1.54;
I survived nearly fifteen years as a sysadmin in a CAD design environment, and have the nervous tics to prove it;
and I've been the editor of a weekly magazine.
Phil and the rest of the Linux Journal staff have taken me in despite this checkered past. For this I thank them a lot.
I'd like to assure them, and you, that I won't be trying to fill Michael's shoes. That's too big of a task. Besides, it's too early for that kind of hubris; maybe after you get to know me better. Nor do I think that you'll see any big changes... for a while.
The wizards at SSC will help keep me from crashing and burning. What I want most of all is for us to keep doing what we do best—serving the worldwide Linux community. That's you.
I'm looking forward to working with this crew and meeting as many of you as I can. To use one of the most over-used words in what passes for discourse these days, I'm excited about being able to give something back to the Linux community through this magazine; this is going to be fun.
I look forward to seeing you next issue.
—Scrafford
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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 |
- RSS Feeds
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- Dynamic DNS—an Object Lesson in Problem Solving
- New Products
- Validate an E-Mail Address with PHP, the Right Way
- Drupal Is a Framework: Why Everyone Needs to Understand This
- A Topic for Discussion - Open Source Feature-Richness?
- Download the Free Red Hat White Paper "Using an Open Source Framework to Catch the Bad Guy"
- 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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