PogoLinux RAID Workstation
For many users' purposes, a RAID 0 system will provide less performance benefit than spending the equivalent money on getting a single fast hard drive, faster processor, more RAM or a faster motherboard. The price difference between PogoLinux's Velocity workstation and a similarly configured workstation without RAID, such as PogoLinux's Altura workstation, is about $300 if you still buy another 45GB IBM hard drive. For $300 you can buy a 1.2GHz Athlon (instead of 1.0), an extra 256MB of RAM (or an extra 512MB if you stretch it to $370) or a 64MB GeForce2 GTS (instead of the included 32MB MX). On the other hand, if you really need the maximum throughput for working with large files or the reliability of a RAID 1 configuration, the RAID system is definitely the way to go.

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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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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