Focus: Standards
Standards—a fairly innocuous word that seems to create a storm of controversy whenever it is spoken. Everyone agrees it is a good thing, but no one agrees on what standards should encompass or how they should be enforced. Whether for auto parts or operating systems, standardization can be a big plus for the consumer.
The Linux operating system, unlike other software products, has multiple sources—each distribution represents a different implementation. The differences are generally in the installation software and methods (RPM vs. DEB packages, for example); however, nothing is currently in place to prevent a company from adding a feature to the operating system and still call it Linux. Other companies are free to adopt the feature, but this is not required.
This month, we look at the Linux standardization efforts. Two things are very clear in the standards debate:
Distributions want to remain unique in order to maintain marketplace advantage.
Users and manufacturers of applications software (ISVs) want applications that will run on whichever distribution they own, i.e., they want applications to run on all distributions.
These two things are not mutually exclusive. After all, users do not want one distribution to become the Linux “Microsoft” (it might be one other than their favorite), so users too are all for uniqueness in distributions. And no distribution wants to be the odd man out—the distribution on which a major application doesn't work; so, the distributions also are for compatibility. Developers more than anyone want standards that will enable them to write programs that will work across all distributions without hassle. Thus, it appears as if all sides have a common ground on which to meet.
Setting and following standards is the only way to ever ensure cross-distribution compatibility for applications. However, standards that are defined in a rigid and finely detailed manner will be ignored by developers as unrealistic and difficult to follow. Finding that optimum position between standards that are too lax and those that are too rigid is the laudable goal of the Linux Standards Base Project. Dan Quinlan, the project leader, tells us about the plans of the LSB in his article in this issue.
To find out where all the distributions stand on this issue, Norman Jacobowitz talked to representatives of each by e-mail and at the LinuxWorld Expo. Some were more forthcoming than others; see who said what in Norman's article this month.
Want to express your opinions? Join the discussion groups on Linux Journal Interactive, http://interactive.linuxjournal.com/.
—Marjorie Richardson, Editor in Chief
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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!
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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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