Linux Journal Contents #186, October 2009
Linux Journal Issue #186/October 2009
When it comes to hacking nobody does it like an OSS hacker does. An OSS hacker is a real "hacker" and not a "cracker". This month's focus is "Hack This/Programming Hacks". First up on the hacking plate, and on the cover: Coreboot. Coreboot is meant to displace one of the most intransigent pieces of proprietary software: your motherboard BIOS. Next up is a bit of FPGA programming. Then comes some simple O/S development using KVM to learn your first steps. And if you're an Android drooler, find out where you can put it. In the "unfocused" part of the magazine you'll find our normal offerings on things such as Spam-Fighting, OpenGL/Clutter, Laptop Hardening, RSpec, HTop, Open Cubic Player, and at least a zillion other things.
Features
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Coreboot at Your Service!
by Anton Borisov
Use coreboot to take control of your hardware.
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FPGA Programming with Linux
by Marco Fioretti
Real hardware hacking.
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Linux KVM as a Learning Tool
by Duilio J. Protti
Create the next great OS with the help of KVM.
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Android Everywhere!
by Bill Childers
More than a cell-phone OS?
Indepth
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Innovative Interfaces with Clutter
by Alex Crits-Christoph
A simple way to use OpenGL.
Columns
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Reuven M. Lerner's At the Forge
RSpec
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Dave Taylor's Work the Shell
Web Server Tricks with $RANDOM
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Mick Bauer's Paranoid Penguin
Brutally Practical Linux Desktop Security
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Kyle Rankin's Hack & /
Spam: the Ham Hack
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Doc Searls' EOF
Turning the Internet Outside In
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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| 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
- 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?
- The Secret Password Is...
- RSS Feeds
- New Products
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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