Welcome!

@CloudExpo Authors: Liz McMillan, Zakia Bouachraoui, Yeshim Deniz, Pat Romanski, Elizabeth White

News Feed Item

New Infonetics Study Details Enterprise Plans for Cloud Services

Market research firm Infonetics Research released excerpts from its new Cloud Service Strategies: North American Enterprise Survey, which explores enterprises’ plans for the adoption and usage of cloud services.

ANALYST NOTE

“There is no doubt, the cloud has come of age,” notes Sam Barnett, directing analyst for data center and cloud at Infonetics Research. “While investments in cloud outsourcing are small in comparison to internal IT/data center spending, they are growing each year, with the number of enterprise organizations turning to cloud technology to manage budgets and transform service delivery increasing significantly in the last two years.”

Barnett adds: “The cloud is no longer about outsourcing IT infrastructure and functions—it’s about right-sizing them.”

CLOUD SURVEY HIGHLIGHTS

  • 91% of enterprises interviewed use cloud services today, growing to 100% by the end of 2014
  • The leading drivers for deploying cloud services are application performance and management of IT costs
  • Software as a service (SaaS) is the most widely adopted cloud technology among respondent operators
  • Survey respondents cite Microsoft, IBM, and Cisco as the top cloud service providers, although unexpected vendors dominate the cloud landscape in key technology deployment areas

SURVEY SYNOPSIS

For its 25-page cloud service strategies survey, Infonetics interviewed purchase-decision makers at 107 North American enterprises about their current usage of cloud services as well as their plans for deploying cloud-based services through 2014. Survey participants were asked about cloud service delivery types (SaaS, IaaS, and PaaS), uses, deployment drivers, barriers, and vendors. To buy the survey, contact Infonetics Sales: http://www.infonetics.com/contact.asp.

RELATED RESEARCH

RECENT AND UPCOMING RESEARCH

Download Infonetics DATA CENTER AND CLOUD report highlights, tables of contents, prospectuses, market research brochure and events brochure at http://www.infonetics.com/login.

UPCOMING INFONETICS EVENTS

TO BUY REPORTS, CONTACT SALES:

N. America (West), Asia, Latin America: Larry Howard, [email protected], +1 408-583-3335

N. America (East), Texas, Midwest: Scott Coyne, [email protected], +1 408-583-3395

Europe, Middle East, Africa: George Stojsavljevic, [email protected], +44 755-488-1623

Japan, South Korea, China, Taiwan: http://www.infonetics.com/contact.asp

ABOUT INFONETICS

Infonetics Research (www.infonetics.com) is an international market research and consulting firm serving the communications industry since 1990. A leader in defining and tracking emerging and established technologies in all world regions, Infonetics helps clients plan, strategize, and compete effectively. View Infonetics’ About Us slides at http://bit.ly/QUrbrV.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.