Ten ways that IBM Platform Computing can help you save money

GORDON SISSONS | 2014-03-05 09:53:07.0 | Tags:  hadoop sde clusters platformcomputing workload infrastructurematters resource harvesting | 0 Comments

Let’s face it - IT infrastructure is expensive. This is especially true of the type of infrastructure used for clustered HPC and analytic applications. For people not familiar with distributed workload management, claims around cost-savings can sound fanciful, so in short this post I wanted to take the time to clearly (...)


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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 clusters ibm 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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Addressing OpenStack's Goldilocks Dilemma

GORDON SISSONS | 2014-01-02 16:38:22.0 | 0 Comments

Bringing Enterprise-grade resource management to OpenStack clouds OpenStack is quickly emerging as a de-facto standard for provisioning and managing public and private IaaS cloud infrastructures. It has several advantages over proprietary solutions including that it is open source, it supports multiple operating environments and hypervisors, and with so many vendors backing (...)


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Finally, Industrial Strength Software Defined Storage for MSPs and Telcos!

Robert Murphy | 2013-12-16 16:25:22.0 | Tags:  posix openstack cinder msp bigdata swift analytics storage platformcomputing gpfs telco platform | 0 Comments

For more than a year, I have been talking to Cloud Application Architects at MSPs and Telcos around the world looking to develop super scalable storage-based applications to create new businesses for their organizations. They want to do everything in software and drop it on commodity hardware like they see (...)


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