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Monday's podcast discussion focuses on the economic benefits of cloud computing -- of how to use cloud-computing models and methods to control IT cost by better supporting application workloads. [Listen to the podcast. ]

As we've been looking at cloud computing over the past several years, a long transition is under way, of moving from traditional IT and architectural method to this notion of cloud -- be it private cloud, at a third-party location, or through some combination of the above.

Traditional capacity planning is not enough in these newer cloud-computing environments. Elasticity planning is what’s needed. It’s a natural evolution of capacity planning, but it’s in the cloud.

Therefore traditional capacity planning needs to be reexamined. So now we'll look at how to best right-size cloud-based applications, while matching service delivery resources and demands intelligently, repeatedly, and dynamically. The movement to pay-per-use model also goes a long way to promoting such matched resources and demand, and reduces wasteful application practices.

We'll also examine how quality control for these cloud applications in development reduces the total cost of supporting applications, while allowing for a tuning and an appropriate way of managing applications in the operational cloud scenario.

Here to help unpack how Cloud Assure services can take the mystique out of cloud computing economics and to lay the foundation for cost control through proper cloud capacity management methods, we're joined by Neil Ashizawa, manager of HP's (HPQ) Software-as-a-Service (SaaS) Products and Cloud Solutions. The discussion is moderated by me, BriefingsDirect's Dana Gardner, principal analyst at Interarbor Solutions.

Disclosure: Pocast sponsor: Hewlett-Packard.

Source: HP's Cloud-Computing Models Help Control IT Cost