UpFRONT
The press (present company included) loves a fight. Or better yet, a war. That's why we're eager to cast two successful competitors—whether or not they're succeeding at each other's expense—as warriors fighting over market share.
The best copy, of course, are David vs. Goliath stories. IBM was Goliath for decades. Davids came and went. There were the BUNCH (there's a memory test) then there was Digital, then Apple. Steve Jobs loved the role of David. After Microsoft took over the Goliath part, the Steve-less Apple made a pathetic David. Marc Andreessen and Netscape put in a much better performance. Now Marc has been replaced by Linus Torvalds.
But Linus isn't following the script. In the server business, Linux is turning into another Goliath, even though Microsoft isn't going away. As the latest IDC numbers show, both Linux and Microsoft are winning, big time. The losers are NetWare and UNIX. The sad news is that IDC lumps UNIX—Sun, HP and the rest of them—into one shrinking non-Linux group.
Between 1996 and 2003, IDC expects UNIX to lose half its share. NetWare was already declared dead by the press back when it led the pack, in 1996 (I remember, because I was working for those guys back then).
On the client side, the story isn't quite as interesting because there are no Davids, including Linux. It's almost all Windows.
Not that Linux is chopped liver. IDC shows Linux edging ahead of Macintosh on the desktop by 2003, leading by 5.5 to 5.2%. Amazingly, it also shows Windows gaining with almost a 90% share.
Doc Searls (doc@ssc.com) is senior editor of Linux Journal and coauthor of The Cluetrain Manifesto.
Percentage of Linux developers who plan to develop applications for internal corporate use: >50
Percentage of Linux developers who plan to develop e-commerce applications: 40
Percentage of Linux developers writing applications for mobile devices: 20
Percentage of the above over the same number from six months earlier: 50
Billions of dollars (US) that will be lost by record labels and book publishers by 2005 from “increased piracy and as artists and authors break away from publishers to go independent”: 1.5 to 3.1
Billions of dollars (US) that will be gained by musicians in the same shift: 1
Billions of dollars (US) that will be gained by authors in the same shift: 1.3
Billions of dollars (US) that will be gained by third-party service companies: 2.8
Billions of dollars (US) in projected on-line sales for the 2000 holiday season: 19.5
Billions of dollars (US) in sales for the1999 holiday season: 10.5
Percentage chance that a potential customer searching an e-tailer's site will make a purchase: 2.7
Percentage of commerce-driven on-line searches that “produced results that failed basic tests such as finding all relevant information or ordering procedures”: 92
Percentage of advertising that goes unwatched by TV viewers using TiVo and RePlay boxes, which both allow viewers to skip over commercials: 88
Size in billions of dollars (US) of the venture fund formed by Bertelsmann for investment in “an evolving media marketplace”: 1
Number of new domains registered every second, as of January 2000: 1
1-4: Evans Research (see http://www.evansdata.com/implement.html/ for the complete data table)
5-8: Forrester Research
9-12: Gartner Group
13: New York Times
14: TheStreet.com
15: Internet Software Consortium (http://www.isc.org/) and Doc Searls' page at home.earthlink.net/~searls/dec00/ljindex_dec00.html
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 |
- Designing Electronics with Linux
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- Linux Systems Administrator
- Senior Perl Developer
- Technical Support Rep
- UX Designer
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- 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
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 |
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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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