Linux Journal Contents #187, November 2009
Linux Journal Issue #187/November 2009
It doesn't matter how big your infrastructure is, even if it's planetary sized, Linux can handle it. Got massive amounts of data to analyze? Check out our article on IBM's InfoSphere Streams. Need a SAN on a budget, use Linux to provide it. Messaging problems, try AMQP (Advanced Message Queuing Protocol). In addition to our feature articles, don't miss our articles on RSpec, DEFCON, Ext3 vs XFS, Virtualization, HIPL, Pokerth, X-Moto and more.
Features
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IBM InfoSphere Streams and the Uppsala
University Space Weather Project
by Shawn Powers
Dealing with massive amounts of real-time data.
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Use Linux as a SAN Provider
by Michael Nugent
Linux: the Swiss-Army knife of technologies.
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Advanced Message Queuing Protocol (AMQP)
by Joshua Kramer
Enterprise messaging with Python and AMQP.
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IPv4 Anycast with Linux and Quagga
by Philip Martin
Improve availability with anycast!
Indepth
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Host Identity Protocol for Linux
by Abhinav Pathak, Andrei Gurtov and Miika Komu
HIPL gives your Linux box a name.
Columns
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Reuven M. Lerner's At the Forge
RSpec for Controllers
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Dave Taylor's Work the Shell
Exploring Lat/Lon with Shell Scripts
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Mick Bauer's Paranoid Penguin
DEFCON: One Penguin's Annual Odyssey
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Kyle Rankin's Hack and /
Dr hjkl and Mr Hack
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Kyle Rankin and Bill Childers'
Point/Counterpoint
Ext3 vs. XFS
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Doc Searls' EOF
The Hacking of Infrastructure. And Vice Versa.
Review
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Virtualization Shootout: VMware Server vs. VirutalBox vs. KVM
by Bill Childers
In Every Issue
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 |
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- RSS Feeds
- Readers' Choice Awards
- Tech Tip: Really Simple HTTP Server with Python
- DynDNS
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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?




Comments
Typo on page 42
Just got the digital download of Issue 187 (Nov 2009).
There's a typo in the title of the virtualization article.
VirtualBox is rendered as VirutalBox....
Thanks for a great issue in all other respects!