A Pragmatic Path to Navigating your Infrastructure to the Cloud

If you’re like most IT managers, you’re probably struggling to meet new business demands using your traditional IT infrastructure. Recently, two featured industry experts from the analyst firm Gartner, Vice President and Distinguished Analyst Andy Butler and Vice President and Gartner Fellow Massimo Pezzini, discussed 'The Road to a Cloud-Enabled, Infinitely Elastic Application Infrastructure', the first event in a Webcast series focused on navigating your applications to the cloud.

Discussing the latest innovations in data center architecture, they touched upon cloud-based application platforms (CEAPs), fabric computing and integrated systems, highlighting rapid application configuration and deployment capabilities. “If we think of the workload demands that not just cloud applications but all virtualized applications place upon the hardware fabric, it simply becomes a very natural fit for people to look to a fabric-enabled, integrated system as the ideal vehicle to enable that kind of agility and that kind of very easy allocation of resources on the fly and only in such a way that people pay for what they actually consume”, added Andy Butler.

Discussing the interaction between private and public clouds, Massimo commented that it would be important for end users to have coherent environments in their public and the private cloud systems. For example, it would be very important to have the same development tools, the same deployment tools and the same monitoring tools available in a compatible fashion in both environments. It is quite important, Massimo added, to minimize the amount of skills needed and to have a homogeneous and consistent environment across the public and the private environment to fully implement this notion of hybrid computing. This can be done by utilizing standards that enable interoperability between the private and the public cloud environment.

The discussion also focused on Platform-as-a-Service platforms and the critical need for reliability, availability, scalability, security, performance, and throughput in these platforms, given that they need to support hundreds of thousands or even millions of users. Scalability is absolutely critical for supporting such a massive amount of users with possibly fluctuating workloads.

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