Linux Journal Contents #204, April 2011
Linux Journal Issue #204/April 2011
Features
-
Drupal 7: the Webchick behind the Wheel
by Katherine Druckman
An interview with Angela Byron, co-maintainer of Drupal 7.
-
Drush: Drupal for People Who Hate Mice
by James Walker
It makes life easier for those of us who spend some of our working hours hacking away at the command prompt.
-
Simplicity and Performance: JavaScript on the Server
by Avi Deitcher
Surprisingly, the language of the browser is powerful, easy to use and well-suited to high-performance server-side programming—when done right.
-
Zotonic: the Erlang Content Management System
by Michael Connors
It's easy to use and open source.
Indepth
-
Find Yourself with the Google Maps API
by Mike Diehl
DIY Google Maps.
-
Rich Internet Apps That Just Work—Writing for the User
by Avi Deitcher
With the right tools, you can build rich apps that work with, not against, the user.
-
Quick User Interfaces with Qt
by Johan Thelin
Qt Quick is transforming user interfaces.
-
Calibre
by Dan Sawyer
Organize your e-book collection before it gets (even more) out of control.
Columns
-
Reuven M. Lerner's At the Forge
PostgreSQL 9.0
-
Dave Taylor's Work the Shell
Mad Libs Generator, Part II
-
Mick Bauer's Paranoid Penguin
Interview with a Ninja, Part II
-
Kyle Rankin's Hack and /
Your Own Personal Server: DNS
-
Doc Searls' EOF
Hacking with Humor
Review
-
D-Link's Boxee Box
by Shawn Powers
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.
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
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Validate an E-Mail Address with PHP, the Right Way
- 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?




22 min 4 sec ago
2 hours 50 min ago
3 hours 23 min ago
3 hours 24 min ago
3 hours 25 min ago
3 hours 27 min ago
3 hours 28 min ago
3 hours 30 min ago
3 hours 31 min ago
3 hours 33 min ago