e-Appliance, a manufacturer of high-speed, high-density appliance servers, has added a new family of appliance servers called SuperScalers (SS). The SuperScaler 600 is a 1U 19-inch rackmount containing four independent, hot-swappable servers. Each server contains its own processor, memory, disk drive, power supply and Ethernet connection. The SS1000 features two independent, dual SMP servers and fiber channel technology; it is designed for intensive high-speed processing applications like streaming media. The SS500 contains one dual SMP server and has optional fibre channel connectivity. It is geared toward applications that need a balance of processing power and network performance.
Contact: e-Appliance Corporation, 3052 Bunker Hill Lane, Suite 101, Santa Clara, California 95054, 408-980-1990, firstname.lastname@example.org, http://www.eappliancecorp.com/.
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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!
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?