Linux Journal Contents #131, March 2005
Linux Journal Issue #131/March 2005
Features
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Legacy Database Replacement with LAMP
by Richard Hulse
Chalk up another victory for Do-It-Yourself IT, as one in-house project replaced three incompatible proprietary applications.
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Managing Projects with WebCollab
by Mike Cohen
Keep your project status info and the key files in one place with this easy-to-use tool.
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A Database-Driven Web Application in 18 Lines of Code
by Paul Barry
Want to see all the code for a soccer team tracking application? Want to see it again?
Indepth
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Introducing Ardour
by Dave Phillips
A Linux Journal first, this article features a new song recorded just for this issue. Get started with hard-disk recording and have a listen.
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Centralized Authorization Using a Directory Service, Part II
by Alf Wachsmann
Single sign-on is one step closer as we replace /etc/passwd entries with a centralized directory of users and groups.
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Event-Driven Programming with Twisted and
Python
by Ken Kinder
Develop scalable software quickly with this project that gets a handle on a high-performance programming technique.
-
GNU Motion: Your Eye in the Sky for Computer Room Surveillance
by Phil Hollenback
Make your security Webcam show you all the crimes, none of the empty rooms.
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The Perl Debugger
by Daniel Allen
print("hello? Is this thing on?\n ");—or is there a better way?
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The Oddmuse Wiki Engine
by Brian Tanaka
Get your company or project information organized with a system that lets everyone contribute fixes.
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LaTeX Equations and Graphics in PHP
by Titus Barik
Put the math you want on your Web site, right inside the pages you're already building.
Embedded
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Optimization in GCC
by M. Tim Jones
Want to shrink your program's memory requirements, run time or both?
Toolbox
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At the Forge
Bloglines Web Services, Continued
by Reuven M. Lerner
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Kernel Korner
Analysis of the HTB Queuing Discipline
by Yaron Benita
-
Paranoid Penguin
Book Review: Islands in the Clickstream
by Mick Bauer
Columns
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Linux for Suits
Migration Stories
by Doc Searls
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EOF
Data Center Linux at OSDL
by Ibrahim Haddad
Departments
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.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
| Introduction to MapReduce with Hadoop on Linux | Jun 05, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Linux Systems Administrator
- Validate an E-Mail Address with PHP, the Right Way
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- RSS Feeds
- Introduction to MapReduce with Hadoop on Linux
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| 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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