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virtualized data centers

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Published By: VMTurbo     Published Date: Mar 25, 2015
Managing the Economics of Your Virtualized Data Center The average datacenter is 50% more costly than Amazon Web Services. As cloud economics threaten the long-term viability of on premise data centers, the survival of IT organizations rests solely in the ability to maximize the operational and financial returns of their existing infrastructure. You will survive, and this brand new whitepaper will help you to follow these 4 best practices: - Maximize the efficiency of your virtual data center. - Optimize workload placement within your clusters. - Reclaim unused server capacity. - And show your boss that this saves money.
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datacenter costs, virtualized data center, amazon web services, cloud economics, server capacity, it management, enterprise applications, data center
    
VMTurbo
Published By: VMTurbo     Published Date: Mar 25, 2015
Intelligent N+X Redundancy, Placement Affinities, & Future Proofing in the Virtualized Data Center Virtualization brought about the ability to simplify business continuity management in IT. Workload portability and data replication capabilities mean that physical infrastructure failures no longer need impact application services, and they can rapidly be recovered even in the event of complete site failure. However, Enterprises and Service Providers face new challenges ensuring they have enough compute capacity in their virtualized data centers to support their business continuity requirements, while at the same time not over provisioning infrastructure capacity resulting in unnecessary capital expenditure.
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continuity requirements, vmturbo, virtualization, workload portability, data replication, it management, enterprise applications
    
VMTurbo
Published By: VMTurbo     Published Date: Mar 25, 2015
An Intelligent Roadmap for Capacity Planning Many organizations apply overly simplistic principles to determine requirements for compute capacity in their virtualized data centers. These principles are based on a resource allocation model which takes the total amount of memory and CPU allocated to all virtual machines in a compute cluster, and assumes a defined level of over provisioning (e.g. 2:1, 4:1, 8:1, 12:1) in order to calculate the requirement for physical resources. Often managed in spreadsheets or simple databases, and augmented by simple alert-based monitoring tools, the resource allocation model does not account for actual resource consumption driven by each application workload running in the operational environment, and inherently corrodes the level of efficiency that can be driven from the underlying infrastructure.
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capacity planning, vmturbo, resource allocation model, cpu, cloud era, it management, enterprise applications
    
VMTurbo
Published By: VMware Dell     Published Date: Sep 29, 2008
Virtualized IT infrastructures can simplify management and facilitate business continuity while helping minimize power consumption and procurement costs. Virtualization also helps organizations automate disaster recovery plans. Dell EqualLogic PS Series arrays and VMware® Site Recovery Manager (SRM) software provide integrated, cost-effective, automated site recovery and testing for enterprise data centers.
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vmware, dell, iscsi, equallogic, site recovery manager, navicure, disaster recovery, infrastructure
    
VMware Dell
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