platform computing cloud services

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By: IBM     Published Date: Sep 02, 2014
Comparing IBM performance against competitive offerings to help organizations deploy workloads with confidence IBM Platform Computing Cloud Service lets users economically add computing capacity by accessing ready-to-use clusters in the cloud-delivering high performance that compares favorably to cloud offerings from other providers. Tests show that the IBM service delivers the best (or ties for the best) absolute performance in all test categories. Learn More.
Tags : ibm, platform computing cloud services, benchmarking performance
     IBM
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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     Group M_IBM Q2'19
By: Riverbed     Published Date: Nov 30, 2016
Digital transformation on the 3rd Platform continues to present unprecedented opportunities and challenges for enterprise networks and the IT professionals who operate them. Indeed, the requirements associated with cloud computing have already reverberated through data center networking, with software-defined networking (SDN) arising as an architectural approach that provided the network with the agility and responsiveness that it lacked previously but has come to require. Now, the focus is turning to how the WAN must change to accommodate the requirements of cloud applications and services. Fortunately, technologies such as hybrid WAN and software-defined WAN (SD-WAN) are coming to the rescue, giving enterprise IT the means to allow the WAN to meet these challenges directly.
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     Riverbed
By: Riverbed     Published Date: Nov 02, 2016
Digital transformation on the 3rd Platform continues to present unprecedented opportunities and challenges for enterprise networks and the IT professionals who operate them. Indeed, the requirements associated with cloud computing have already reverberated through datacenter networking, with software-defined networking (SDN) arising as an architectural approach that provided the network with the agility and responsiveness that it lacked previously but has come to require. Now, the focus is turning to how the WAN must change to accommodate the requirements of cloud applications and services. Fortunately, technologies such as hybrid WAN and software-defined WAN (SD-WAN) are coming to the rescue, giving enterprise IT the means to allow the WAN to meet these challenges directly.
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     Riverbed
By: HPE     Published Date: Oct 07, 2014
So far, most data centers have virtualized their least-critical workloads as a matter of basic cost containment. Virtualizing mission-critical applications is still forthcoming for the majority,though, largely due to infrastructural concerns. Complicating matters is the shift in IT purchasing decisions from IT to business management. Integrated Computing Platforms (ICPs), private cloud computing, and public cloud services all leverage virtualization to achieve a number of IT and business goals, including increased ROI, reduced OpEx, and business process improvement. Now more than ever, it makes sense to explore the benefits of ICPs. Find expert data center considerations here.
Tags : virtualization, data center, cloud, infrastructure, integrated, optimization, solution, it management, data management
     HPE
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