Cloud for the “Masses” – Applicability of Cloud for Legacy Workloads

Recently-published Saugatuck research provides Saugatuck’s clients with an in-depth analysis of how new offerings are expanding the capability of Cloud IT to include workloads previously considered not appropriate for Cloud.

We offer insights into two categories of workloads:

1. Designed for Cloud – such as web serving workloads, and
2. Enabled for Cloud – such as traditional data base workloads.

And, we provide several examples of emerging Cloud offerings that enable enterprise IT organizations to migrate workloads in the second category to Cloud for potential infrastructure savings.

We urge enterprise IT organizations to evaluate existing workloads and consider the emerging offerings such as Appnomic AppsOne, IBM SmartCloud Enterprise+, and OpSource App Ops.

We also urge vendors to continue to address the requirements of Enabled for Cloud workloads and expand the applicability of Cloud.

Note: Ongoing Saugatuck subscription clients can access this premium research piece (1082MKT) by clicking here, and inputting your ID and password.

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Charlie Burns

Charlie Burns is a Vice President for Saugatuck Technology, focusing on enterprise software, business/IT services, and IT systems technologies and management. With over 35 years of experience in the Information Technology arena, Charlie is an established expert in IT product and marketing management, and in IT user issues and requirements.
After 26 years with IBM, where he held positions in sales, product development and large systems product marketing, Charlie left to become Research Director at Gartner Group in 1993. In 1998 he joined Giga Information Group as Research VP. At both Gartner and Giga, he focused on large systems and the business practices of the major large systems vendors. In 2000, Charlie rejoined Gartner in a relationship management role responsible for two of its largest vendor clients.
Charlie received a BS in Computer Engineering from Case Institute of Technology in Cleveland, Ohio. Over the years, he attended a variety of IBM technical and research training programs, becoming an adjunct professor focusing on product management issues.

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