Linux Journal Contents #24, April 1996
Linux Journal Issue #24/April 1996
Features
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Choosing an Internet Service Provider
by Michael J Johnson
If you need to choose between a BBS, an on-line service, a shell account, and a PPP or SLIP account, read this informative article.
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Almost Internet with SLiRP and PPP
by Jim Knoble
Jim guides the neophyte through installing and using SLiRP, a freely available software package which makes an ordinary shell account act like a SLIP or PPP account.
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Building a Linux Firewall
by Chris Kostick
See how a Linux machine can be the guardian of your network's security.
News and Articles
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XF-Mail
by John M Fisk
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Finding Linux Software
by Erik Troan
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The Trouble with Live Data
by David Bonn
Columns
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Letters to the Editor
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Stop the Presses
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Kernel Korner
Dynamic Kernels - Discovery
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Book Review
Prime Time Freeware
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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
- Linux Systems Administrator
- Validate an E-Mail Address with PHP, the Right Way
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- RSS Feeds
- Senior Perl Developer
- Introduction to MapReduce with Hadoop on Linux
- Technical Support Rep
- Weechat, Irssi's Little Brother
- Reply to comment | Linux Journal
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7 hours 53 min ago - Welcome to 1998
8 hours 41 min ago - notifier shortcomings
9 hours 5 min ago - heroku?
10 hours 42 min ago
Featured Jobs
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| Technical Support Rep | Houston and Austin, Texas | Host Gator |
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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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