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Making it easy to deploy Hadoop on cloud — without compromising performance, security and scale

Jeff Karmiol | 2015-03-11 14:30:36.0 | Tags:  hpc security performance big_data hadoop publiccloud analytics high_performance hybridcloud on-demand softlayer cloud | 0 Comments

As more organizations turn to big data analytics to solve business problems, many are adopting Hadoop software for distributed computing. But IT budgets are tight, and acquiring these resources can be expensive. High-performance cloud offerings from IBM provide a flexible, cost-effective alternative: instantly accessible Hadoop environments in the cloud. Organizations like (...)


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Deploy Hadoop Workloads on ready-to-run Clusters on the SoftLayer Cloud

Andrew Jolie | 2015-02-17 12:30:00.0 | Tags:  ibm softlayer software hadoop platform workloads clusters cloud platformcomputing | 0 Comments

On February 23, 2015 IBM announced the latest addition to the Platform Computing cloud services portfolio, IBM High Performance Hadoop Services. These new cloud services enable you to quickly and easily deploy Hadoop workloads on ready-to-run clusters on the SoftLayer cloud. The clusters come complete with bare metal SoftLayer infrastructure, (...)


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Making Hybrid Cloud Work for You

Louise Westoby | 2014-07-08 16:33:44.0 | Tags:  matters platform elastic workload storage infrastructure lsf softlayer computing hybrid service cloud management symphony | 0 Comments

If several large projects require the same technical computing resources for a two week period, what should you do? Or what happens if you are experiencing spikes in infrastructure demand at a certain period during the day--do you purchase additional infrastructure to accommodate that increase in demand even though those (...)


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Can you address spikes in infrastructure demand quickly and cost-effectively?

Louise Westoby | 2014-02-25 11:23:20.0 | Tags:  platformsymphony analytics grid cloud technicalcomputing ibm clusters platformlsf softlayer platformcomputing | 0 Comments

Your organization might have deployed a cluster or grid on site. But can these resources always meet your peak demands? For example, what happens when several large projects move into the same simulation and design phase at the same time? Simply adding hardware to address peak workload requirements, especially if they (...)


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