The next step is to think about the data your applications can store in the cloud and how they might influence security and risk. Many companies classify their data according to its sensitivity: a marketing document has a very different security requirement than, say, a draft of a 10-K filing prior to earnings release.

Flexibility and a variety of options also characterize analytics in the cloud. There are many new possibilities with analytical analysis, but the most exciting possibility is predictive analytics; that is, the ability to predict future performance from historical data. The possibilities are almost limitless, but consider the use of Big Data for predictive analysis

How then do you prioritize the migration of applications to the cloud? To understand what applications should be moved, when, and how, it’s important to create a wellattributed catalog of applications managed by IT. Then, the relative importance of each attribute (say, business criticality or amount of system integration) can be weighted and the prioritized list can be built

Many IT organizations rely on the Information Technology Infrastructure Library (ITIL) framework for service management and operations. Over the years the ITIL has proven a useful set of practices for IT Service Management (ITSM) and for aligning IT investments and operations with business goals. Among its benefits, advocates and practitioners of ITIL point to increased reliability, uptime, and predictable costs.

During your migration to the cloud, some—perhaps the majority—of your applications will be moved more or less intact as virtual machines (VMs). This Infrastructure as a Service (IaaS) style of migration has a number of advantages, as discussed in previous chapters. After they are in the cloud, applications can take advantage of the numerous services available to them, quickly giving those applications far more function and return on investment. This chapter first looks at how you can redesign your applications to better take advantage of the underlying cloud framework, and then how you connect them to services in the cloud to rapidly expand their features and functions

There are many options for relational database functionality in the cloud, and they serve different purposes

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