What Has 1.1 Terabytes, 9,503 BogoMips and Flies?
We've been doing “building the Ultimate Linux Box” articles in LJ since 1996. In that time, we have seen Linux scale to IBM mainframes, 32-way ccNUMA boxes and other exotic hardware. As much as we'd like to explain how to build them, most of us aren't going to have the space, power or budget for a 32-processor system that we can tear down whenever we want to put in another sound card.

A large tower case has plenty of space for working inside and keeps cables out of the way. You can mount all drives on the upper level, so plenty of air can get to the hot processors. This is before installing drives and cards.
So our Ultimate Linux Box is more of an ultimate Linux workstation or an ultimate Linux small server—big enough to be faster than you need for most uses and small enough to be practical in an office or home environment.
The first question, of course, is whether to buy or build your machine. On the one hand, you can do things for your hand-built system that a mass-market PC manufacturer probably won't:
Pick the very best case for the exact hardware you want to run, your work environment, your aesthetic sensibilities and your desire to work inside easily.
Use a top-quality power supply and quiet, ball-bearing fans.
For non-ultimate systems, you can put a really good SCSI card, SCSI drives and Ethernet card on what is otherwise a low-end desktop machine. This type of configuration will work well for most Linux developer workstations and small server tasks, but mass-market vendors won't usually build them because they don't appeal to people who buy systems by comparing CPU clock speeds and prices.
Leave off the parts that will end up gathering dust: your keyboards and mice will last several generations of hardware, and you probably already have a box with a CD burner.
On the other hand, there are two things that a mass-market PC manufacturer can provide that you probably won't:
Professional thermal and acoustic engineering. Your homebrew system will likely end up with more fans, a bigger case and a bigger power supply than a mass-market system with similar performance numbers. This doesn't necessarily have to translate into more noise, if you're careful.
Relationships with hardware vendors who don't respect you. One of the big differences between our box and the Hewlett-Packard x4000 we reviewed in the LJ June 2002 issue is that we're using an ATI video card, and HP uses NVIDIA.
But if you're working with interesting new versions of core software, such as the kernel and X, you might not find much help from the traditional Linux channels for proprietary modules. At USENIX this year, Linus Torvalds said, “They may work, but you're not getting the full advantage of Linux.” The only case when you could possibly accept a non-Linux kernel module is when you're not doing any “Linux-y” stuff with the box—if you treat it like just another PC and don't recompile the kernel or hack anything whatsoever. Oh, and if you completely trust your hardware vendor.
The intermediate route, which is ordering your system from a low-volume or custom shop serving the Linux market, is worth considering if you want to save shopping and building time, as well as get good advice on Linux-friendly parts. Linux hardware vendors are an informal, peer-to-peer reputation system for selecting good parts, and this works surprisingly well. You can go to the web sites of the good ones, see complete lists of every piece of hardware that will go into your system and get a no-hassle warranty on the complete box.
For this year's Ultimate Linux Box, we started with a base configuration of the Glacier Dual Xeon workstation from Aspen Systems Inc. in Colorado, and here's why. Think of the Ultimate Linux Box as a Beowulf node, one with good graphics and sound and a lot of reliable storage, in a tower case.
Companies that build Beowulf clusters are good places to look for the fastest processors and motherboards and the most reliable memory, because cluster users are picky about such things.
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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Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
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| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
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- Dynamic DNS—an Object Lesson in Problem Solving
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
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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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