New Products

INTERNETpro Small Enterprise Server 2012
INTERNETpro Small Enterprise Server 2012 was created for virtual private networking (VPN) that coordinates with dynamic IP addressing. For use with e-commerce and telecommunications, the 2012 includes VPN with advanced encryption, firewall, web server, e-mail server, built-in routing, WAN connectivity with multiple options, web caching, proxy server, URL blocking and dynamic content screening. The 2012 has an 8GB hard drive and 450MHz CPU to support up to 150 concurrent users.
Contact: Internet Appliance, Inc., 40515 Encyclopedia Circle, Fremont, California 94538, 510-413-1068, sales@internetappliance.com, http://www.internetappliance.com/.
ProcureMind 1.6, from Mindflow Technologies, is software for formulating and tracking purchasing strategies designed to take the place of spreadsheets. Capabilities for entering, viewing and manipulating data in a variety of formats are provided in one product. Improvements to the component programs, ProcureStrat, ProcureSave and Smartsourcing Desktop in version 1.6, include multiline optimization for bidding analysis. A sampling of analysis capabilities include multi-item bundling efficiencies, supplier relationship management and increased sourcing productivity.
Contact: Mindflow Technologies, Inc., 6504 International Parkway, Suite 2400, Plano, Texas 75093, 972-930-9988, info@mindflow.com, http://www.mindflow.com/.
MSC.Linux is a new distribution offered by MSC.Software Corporation that combines PCs into clusters, enabling them to address engineering problems usually handled by supercomputers. Features of the Web-based distribution include substantial memory, high-performance data transfer and cluster tools. MSC.Linux is aimed at the product-design market to enable increased time-to-market efficiency. The beta release is available for download from the web site (http://www.mscsoftware.com/).
Contact: MSC.Software Corporation, 815 Colorado Boulevard, Los Angeles, California 90041, 323-258-9111, http://www.mscsoftware.com/.
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
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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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