Linux Journal Contents #23, March 1996
Linux Journal Issue #23/March 1996
Features
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Linux Distributions Compared
There are more Linux distributions than ever. Our editor takes you on a tour to help you decide which is best for you.
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Linux Distributions Features Comparison Chart
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Graphic Formats for Linux
by Gerald Graef
What ARE all those graphics storage formats and which should you use? Gerald Graef explains the methods and benefits.
News & Articles
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Geomview
by Tim Jones
Want a way to view and animate 3-D objects? Then Geomview may help you.
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Ext2tools for Linux
by Robert A. Dalrymple
How to use Windows and Linux on the same PC while losing neither your mind nor your files.
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Running Windows Applications NOW
by Ron Bardarson
Need to run MS Windows Applications right away? Then DESQview/X offers a solution.
Columns
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Kernel Korner
Dynamic Kernels - Modularized Device Drivers
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Letters to the Editor
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Stop the Presses
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Take Command
The cpio command
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Book Review
Linux Configuration and Installation
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Book Review
Building a Linux Internet Server
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New Products
Directories & References
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
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Linux Systems Administrator
- Validate an E-Mail Address with PHP, the Right Way
- Introduction to MapReduce with Hadoop on Linux
- RSS Feeds
- Weechat, Irssi's Little Brother
- New Products
- Developer Poll
- Reply to comment | Linux Journal
50 min 51 sec ago - Reply to comment | Linux Journal
1 hour 36 min ago - Didn't read
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1 hour 51 min ago - Poul-Henning Kamp: welcome to
4 hours 1 min ago - This has already been done
4 hours 2 min ago - Reply to comment | Linux Journal
4 hours 47 min ago - Welcome to 1998
5 hours 36 min ago - notifier shortcomings
5 hours 59 min ago - heroku?
7 hours 36 min ago
Featured Jobs
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| 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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