Linux Journal Contents #120, April 2004
Linux Journal Issue #120/April 2004
Features
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Real-World PHP Security
by Xavier Spriet
Learn the top four PHP security mistakes and the three key techniques you can use to secure your PHP app.
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SPF Overview
by Meng Weng Wong
Spam, scams and worms all use e-mail forgery. Put a stop to it with the new mark of quality for your domain.
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Security Distribution for Linux Clusters
by Ibrahim Haddad and Miroslaw Zakrzewski
Extend Linux Security Modules to enforce security rules across many systems.
Indepth
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Constructing Red Hat Enterprise Linux v. 3
by Tim Burke
Behind the scenes, contentious IT firms have their say in a new high-end distribution.
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Samba Logging for Audit Trails
by Edward S. Kablaoui
When you have high-security audit requirements, use the source and add custom log entries.
Embedded
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Driving Me Nuts
by Greg Kroah-Hartman
Writing a Simple USB Driver
Toolbox
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At the Forge
COREBlog
by Reuven M. Lerner
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Kernel Korner
The Hidden Treasures of iptables
by Chris Lowth
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Cooking with Linux
Francois, Can You Keep a Secret?
by Marcel Gagné
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Paranoid Penguin
Application Proxying with Zorp, Part II
by Mick Bauer
Columns
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Linux for Suits
Showtime
by Doc Searls
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EOF
SOLIS, a Brazilian Free Software Cooperative
by Cesar Brod
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
| 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 |
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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