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Virtual Machines Are Not Free
sponsored by VKernel
 | White Paper: | Posted: 14 Nov 2008
| | Published: | 14 Nov 2008 | |
Summary: |
This paper explains the advantages that virtual machine provides to the IT department.
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Capacity Analyzer: Advanced Analytics for Capacity Management
sponsored by VKernel
| Data Sheet: | Posted: 14 Nov 2008
| | Published: | 14 Nov 2008 | |
Summary: |
By continuously monitoring shared capacity utilization trends in your VMware ESX environment, Capacity Analyzer significantly reduces the time and costs of identifying current capacity bottlenecks causing performance problems.
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VKernel Case Study: Hasbro Inc.
sponsored by VKernel
| Case Study: | Posted: 14 Nov 2008
| | Published: | 14 Nov 2008 | |
Summary: |
Using the VKernel Capacity Bottleneck Analyzer, Hasbro is able to continuously monitor shared CPU, memory, and storage usage to properly allocate the required resources among all of its deployed virtual machines.
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VKernel Case Study: HOVENSA
sponsored by VKernel
| Case Study: | Posted: 14 Nov 2008
| | Published: | 14 Nov 2008 | |
Summary: |
Using the VKernel Capacity Bottleneck Analyzer, HOVENSA is able to continuously monitor shared CPU, memory, and storage usage to properly allocate the required resources among all of its deployed virtual machines.
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Performance Assurance Lifecycle for Virtual Infrastructures
sponsored by VKernel
| White Paper: | Posted: 14 Nov 2008
| | Published: | 14 Nov 2008 | |
Summary: |
Read this paper to learn how the Performance Assurance Lifecycle eliminates performance and financial risks, taking the data center from 15-20 percent virtualized to 70-100 percent.
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Capacity planning: New challenges for your virtual infrastructure - Expert Videocast
sponsored by VKernel
 | Webcast: | Posted: 28 Oct 2008
| | Premiered: | Available On Demand | | | Speaker: |
Anil Desai, Consultant
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Summary: |
View this webcast to learn Anil Desai's take on the capacity planning and management demands created by virtualizing production-level applications.
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Capacity Analyzer Interactive Flash Demo
sponsored by VKernel
 | Software Demo: | Posted: 17 Jun 2008
| | Published: | 01 Jun 2008 | |
Summary: |
VKernel´s Capacity Bottleneck Analyzer Virtual Appliance immediately builds a list of current RAM, CPU, storage and network bottlenecks in your VMware infrastructure.
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Cost Visibility, Chargeback, and Capacity Management in Virtualized Environments
sponsored by VKernel
| Software Demo: | Posted: 17 Mar 2008
| | Published: | 17 Mar 2008 | |
Summary: |
VKernel´s Chargeback Virtual Appliance allows IT to provide its end user departments with instant reports about resource consumption and how much it costs.
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Implementing Chargeback: A Step-By-Step Approach
sponsored by VKernel
| Software Demo: | Posted: 17 Mar 2008
| | Published: | 17 Mar 2008 | |
Summary: |
Many organizations recognize the need for Chargeback, but simply do not know where to start. The workshop will walk through an easy to understand step by step approach for implementing Chargeback. The group size will be small with interactive...
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How to Implement Chargeback in a Virtualized Data Center Using the Resource Consumption Model
sponsored by VKernel
| White Paper: | Posted: 27 Feb 2008
| | Published: | 01 Feb 2008 | |
Summary: |
When IT professionals make massive investments in the virtualized data center, financial controls to contain sprawl and maintain control are essential. This white paper shows you how to do so by implementing chargeback.
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Tackling the Virtualization Chargeback Challenge
sponsored by VKernel
| Data Sheet: | Posted: 26 Feb 2008
| | Published: | 01 Feb 2008 | |
Summary: |
Learn how VKernel's Chargeback Virtual Appliance helps companies gain cost visibility and chargeback on resource utilization; recover costs of ESX Infrastructure; and measure resource consumption by applications, resource pools and clusters.
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How to Resolve Capacity Bottlenecks and Ensure Great Performance in Your VMware ESX Environment
sponsored by VKernel
| White Paper: | Posted: 26 Feb 2008
| | Published: | 01 Feb 2008 | |
Summary: |
In virtualized data centers, the fact that all applications and users can impact each other combined with a lack of resource monitoring can cause poor performance and even system downtime. This white paper provides a formula to avoid these problems.
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