In just a few short years, Cloud has evolved from an experimental medium to an increasingly mainstream IT deployment option.  Of course, “IT as a Service” builds on existing innovations, such as virtualization and orchestration. However, such characteristics as granularity and self-service enable disruptive models that are more than just a next-generation play on hosting or IT outsourcing.  This demands a rethink of traditional approaches to the way that IT capabilities are purchased, deployed, and consumed.

Thinking out cloud

In a white paper revised for 2014, analysts a IDC look beyond the generic “slam dunk” use cases for Cloud – including dev and test, seasonal requirements, and peak loads — to big-picture considerations that inform IT decision-making. These typically involve:

▪ Identifying the needs of different IT constituencies within the organization

▪ Quantifying the cost implications of aligning IT expenditure to business need

▪ Evolving the IT function from a roadblock into a facilitator

▪ Understanding why computational science workloads, Big Data, machine-to-machine, and Internet of Things workloads lend themselves readily to the Cloud

▪ Determining which cloud model provides the best fit with existing infrastructures

Read this white paper in full to better understand how taking an inductive approach to the cloud can help IT departments harness the benefits of dynamic computing — and transform from cost center to business enabler.


Content Preview

Organizations need a better understanding of their internal IT dynamics and how they can be more closely aligned with business objectives to develop practical use case frameworks for agile cloud-based IT...