Accelerate Data Center Transformation - Quick video on how HP DDMA addresses key DCT challenges

Exnteding the recent discussions by Jody Roberts in his ITSM Blogs about Data Center Transformation (DCT )  and best practices around it, I wanted to point you to a quick 10-minute video in which Jody demonstrates how HP DDMA ( and an accelerator package developed specifically for DCT projects ) addresses some of the major challenges of DCT projects and accelerates the transformation.


As you may have observed, many businesses are considering Data Center Transformation (DCT) project that is aimed at reducing the operational cost and complexity of their overall IT infrastructure. A DCT project can involve modernizing legacy infrastructure, consolidating workload and/or data center, move from physical to virtual infrastructure or move to private or public cloud in order to save space, energy & operating expenses and defer potential capital expenses needed to build or expand the data center.


HP Discovery and Dependency Mapping Advanced Edition (DDMA) software provides visibility into IT by automatically and continuously mapping applications and infrastructure elements and generating top-down views of the business services. Based on the best-practices and learning from several DCT deployments, HP is offering DCT Accelerator Package for DDMA at no-charge to customers who have purchased HP DDMA license.

Through this scenario demonstration, hear and see how you can address following major challenges during a DCT project:

  • Move Group Analysis of applications and underlying IT elements
  • Collecting and organizing unstructured knowledge via an unique Collector Portal
  • Identifying Missing Information with Best Practices for conducting comprehensive discovery
  • Handling the Massive Reporting Requirements

Click here to view the Demo of Data Center Transformation Accelerator for DDMA .



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About the Author
Anand is a senior product marketing manager at HP Software . Anand is responsible for marketing and sales enablement for Discovery and Depen...

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