Linux Journal Contents #173, September 2008
Linux Journal Issue #173/September 2008
Feeling a bit like a Thermian? Never give up, never surrender! Someday, you could go from underdog to top dog. Just take a look at a few of the underdogs we highlight in this issue: Mutt, djbdns, Nginix, Gentoo, Xara and the program voted mostly likely to fail just a few years back—Firefox. If Firefox not radical enough for you, check out Chef Marcel's column for some more alternatives. Having trouble mapping your program data to your relational database? If so, Rueven Lerner shows you some tricks in his At The Forge column. Need to run GUI applications on your server in the next state? In his Paranoid Penguin column, Mick Bauer shows you how to do it securely. Kyle Rankin keeps hacking and slashing and shows you a few split screen secrets you may not be familiar with. Finally, we all know what happens next February, but only Doc knows what happens afterward.
Features
-
Power Up Your E-Mail with Mutt
by Victor Gregorio
See how Mutt's text-based display outperforms the rest.
-
Nginx: the High-Performance Web Server and Reverse Proxy
by Will Reese
A leaner, meaner Apache.
-
djbdns: More Than Just a Mouthful of Consonants
by Cory Wright
Upgrade from BIND to djbdns.
-
Xtreme Illustrations
by Dan Sawyer
Check out Xara Extreme, a Linux-compatible alternative to Inkscape.
-
Take a Ride on the Gentoo Train
by Mike Diehl
Gentoo, power and flexibility, but not for the faint of heart.
Indepth
-
The Story of Firefox: from Underdog to Superhero
by James Gray
The fascinating story of how Firefox went from underdog to top-dog browser.
-
State of the Art: Linux Audio 2008
by Dave Phillips
How does Linux sound these days? Dave Phillips gets his groove on in Part I of his survey of Linux audio capabilities.
Columns
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Shawn Powers' Current_Issue.tar.gz
When Underdogs Take Over the World
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Reuven M. Lerner's At the Forge
Shoehorning Data into a Database
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Marcel Gagné's Cooking with Linux
Browsers with the Speed of Lightning
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Dave Taylor's Work the Shell
Spreading Out Numbers
-
Mick Bauer's Paranoid Penguin
Secured Remote Desktop/Application Sessions
-
Kyle Rankin's Hack and /
Do the Splits
-
Doc Searls' EOF
What Happens after Next February?
Review
-
Simplifying Backups with Zmanda Recovery Manager
by Alolita Sharma
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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| Speed Up Your Web Site with Varnish | Jun 19, 2013 |
| 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 |
- Speed Up Your Web Site with Varnish
- Containers—Not Virtual Machines—Are the Future Cloud
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Non-Linux FOSS: libnotify, OS X Style
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- RSS Feeds
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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:
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