upFRONT
USENIX; June 19-23, 2000; San Diego, CA; http://www.usenix.org/events/usenix2000/
LinuxFest; June 20-24, 2000; Kansas City, KS: http://www.linuxfest.com/
PC Expo; June 27-29, 2000; New York, NY; http://www.pcexpo.com/
LinuxConference; June 27-28, 2000; Zürich, Switzerland; http://www.linux-conference.ch/
Libre Software Meeting #1, July 5-9, 2000; Bordeaux, France, www.abul.org/rmll1-fr.html and rmll1-uk.html
Summer COMDEX; July 12-14, 2000; Toronto, Canada; http://www.zdevents.com/comdex/.
O'Reilly/2000 Open Source Software Convention; July 17-20, 2000; Monterey, CA; conferences.oreilly.com/convention2000.html
Linux share of web servers in the domains .td (Chad), .ne (Niger), .lr (Liberia), .gq (Equatorial Guinea), .cf (Central African Republic) and .dj (Djibouti): 100%
Total number of Linux web servers in the .td, .ne, .lr, .gp, .cf and .dj domains: 32
Linux share of web servers in the .gg (Guernsey, Alderney and Sark) domain: 67.6%
Total number of Linux web servers in the .gg domain: 97
Linux share of web servers in the .md (Republic of Moldova) domain: 67.5%
Total number of Linux web servers in the .md domain: 564
Linux share of web servers in the .ro (Romania) domain: 59.7%
Total number of Linux web servers in the .ro domain: 1,645
Linux share of web servers in the .de (Germany) domain: 42.7%
Total number of Linux web servers in the .de domain: 197,670
Linux share of web servers in the .ru (Russian Federation) domain: 15.1%
Total number of Linux web servers in the .ru domain: 3,498
BSD family share of web servers in the .ru domain: 52.6%
Total number of BSD web servers in the .ru domain: 12,211
Total number of Google users early in its development: 10,000
Total number of current Google users: 10,000,000
Number of new domains registered during a 10-day period in March, 2000: 1,000,000
Registration rate of new domains, per second, during the same period: 1
Number of gallons of fresh water required to produce one pat of butter: 100
Number of gallons of fresh water required to produce a chicken egg: 120
Number of gallons required to produce a loaf of bread: 300
Number of gallons required to produce a pound of beef: 3500
1-14: The Internet Operating System Counter (www.leb.net/hzo/ioscount)
15-16: New Media
17-18: Netcraft
19-22: David Siegel
On May Day (May 1, 2000), a point when financial markets seemed to have lost faith in Linux as a “Big Trend” (many Linux stocks lost most of their value in the first third of the year), a big chunk of change—$37 million, to be exact—was invested in Lineo, Inc., which is emerging as the leading embedded Linux software company.
In an interesting twist, the list of sources for that money includes only three venture capital firms. Another fourteen investors are actual or potential Lineo customers, including familiar names like Motorola, Samsung, Mitsubishi, Compaq, Citrix and Acer—plus a raft of motherboard, laptop and component manufacturers in Taiwan, Japan and Korea. These include DaiShin Information and Communications, First International Computer, Global Alliance, Hikari Tsushin, Arima and Mitac International. The VCs are Egan Managed Capital, J&W Seligman and Astoria Capital Partners.
These manufacturers are players. “There is a substantial interest on the part of major manufacturers in embedded Linux. And we include in that category a variety of software, hardware, components and solutions for embedded systems. These are smart companies that got to where they are by knowing how both to predict market trends and sense what's happening right now,” says Lyle Ball, Vice President of Communications and co-founder of Lineo.
The most interesting aspect of this news is that it appears to be something unusual: a very traditional “Old Economy” play. These manufacturers want to put Linux in their products, not just score a big run-up off a Lineo IPO (which, of course, they certainly wouldn't mind).
To get the significance of this, consider the little-discussed fact that every company has two markets: one for its goods and services and another for itself. Before the New Economy showed up, the latter market was extremely secondary, even for publicly traded companies. Value was all. Growth mattered, but there was no prevailing imperative to take a new company public or to run its value up to the sky overnight. But the get-big-quick imperative of the New Economy led to biased business conversations over the last several years, so that talk about investment has drowned out talk about the fundamentals of business. And this kind of talk has been endemic to the commercial Linux market ever since Red Hat went public last August and instantly branded Linux as the hot “growth topic” of 1999.
But this investment appears to be operating on the Old Economy imperative, which is to support product and service innovation. At least, this is what a long and manufacturer-heavy list of investors suggests.
What this also suggests is that Linux will probably expand from servers to appliances and other embedded devices more quickly than it will spread to clients—although there is no shortage of desktop and laptop manufacturers on this list of investors.
As Lineo sees it, the embedded Linux market shapes up this way:
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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Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
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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 |
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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!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
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| 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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