Life Sciences

Modeling the Virtual Data Center: Organizing Resources and Applications for Smarter Automation and Management

Keywords: enterprise cloud computing, IT automation, private cloud computing, Virtual Data Center.
Authors: Stuart Charlton, Elastra Corporation.
Abstract: The shift to virtualization and cloud computing is an opportunity to deliver on the promise of reduced cost and lead times associated with providing enterprise IT applications and services. However, this freedom leads to an increased management burden, as the scale, variability, and combinations of services, applications and infrastructure grow tremendously.

With a virtual data center model as a foundational element of an enterprise cloud computing strategy, organizations can achieve reduced lead times to enact change to their information systems through model-driven automation. Stuart Charlton will discuss how such an approach provides the context and policy needed for an IT automation system to deploy, change, scale or recover applications on demand.

Measuring the Fully Loaded Costs of Cloud Computing

Keywords: service delivery, business case, costs.
Authors: Michel Feaster, VP of Products at Apptio.
Abstract: Like many outsourcing options vying for IT dollars, cloud computing creates price and service delivery pressures on internal IT. Before the enterprise can truly embrace the cloud they must understand one critical metric: how to make an apples-to-apples comparison between internal IT resources and those of a cloud provider. This session will demonstrate new methodologies for understanding IT costs and how to build a business case for cloud computing.

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