SCO Linux 4
SCO Linux 4 is licensed on a per-server basis, with four levels of support: base for $599, classic for $699, business for $1,249 and enterprise for $2,199. This price structure is similar to Red Hat Advanced Server's, but it is slightly less expensive at each price level. (At press time, Red Hat announced a lower server price point: Red Hat Enterprise Linux ES Base Edition is $349.)
UnitedLinux 1.0, upon which SCO Linux 4 is based, has some rough edges. SCO hasn't smoothed them out yet, and their available documentation isn't much better than you can get by surfing the Internet. On the other hand, with Webmin and APT, it should be easy to keep your servers humming once you do have them set up. Except for that one scary security situation, the tech support is good.

Steve R. Hastings first used UNIX on actual paper teletypes. He enjoys bicycling with his wife, listening to music, petting his cat and making his Linux computers do new things.
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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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Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
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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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