Three-quarters of IT executives surveyed believe virtualization by itself can play a major role in an enterprise disaster recovery plan, but it in no way represents a complete answer to a DR strategy, according to a “State of Disaster Recovery” survey released June 25 by market researcher Harris Interactive.
While many IT decision makers say they have deployed virtualization in a production setting, survey data indicated that most had not yet utilized it in a disaster recovery situation.
A full-fledged disaster recovery system using virtualization replicates the system and all its data to an off-site location away from the main enterprise data center. In the event of the main data center going offline and out of action, virtual machines replicated at the backup location continue to keep the workloads running smoothly, with little or no latency in daily production.
However, many companies are not able to deploy separate backup data center locations to provide the complete data recovery system, relying instead on failover to separate storage arrays and servers within the same physical building.
“The Achilles heel of many virtualized IT environments is they depend on a single data center to execute system failover should an outage occur,” said Don Norbeck, technology officer at SunGard Availability Services. “A recovery strategy with no off-site data center can result in no recovery.”
Seventy-four percent of survey respondents indicated that virtualization can play a major role but is not a total solution for disaster recovery plans. One-quarter of IT respondents said they would never include virtualization technologies in their disaster recovery plans.
Virtualization: only nominal success in DR thus far
Sixty percent of respondents said they have virtualization in place now as a recovery tool from unplanned outages; only 29 percent said they have used it successfully. Eight percent said they used virtualization, but that it didn’t work to their satisfaction.
Another 29 percent of IT decision makers say they have deployed virtualization but not yet used it as a tool for disaster recovery.
Over the next two years, the survey said, half of IT decision makers say they will be looking into virtualization as an option for managing unplanned outages and disaster recovery. About a quarter of IT executives say they will be looking into cloud computing and grid networking as potential options.
This survey was conducted online within the United States in March 2009 with 497 qualified respondents, including 277 business and 220 IT participants.
The survey was commissioned by SunGard Availability Services, which provides disaster recovery services, managed IT services, information availability consulting services and business continuity management software to more than 10,000 customers in North America and Europe.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to insights, and supporting a growing range of workloads. In this episode, Corey Knowles speaks with Vrashank Jain, lead product manager for Dell’s AI Data Platform, about how businesses can overcome these hurdles with solutions that simplify data management, enhance performance, and unlock the full potential of their AI investments.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Latest News - Resources Resource HubsFeatured ResourcesLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer?
The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data
Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands
IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on The Data Problem That Could Break Your AI
Dell’s Vrashank Jain on The Data Problem That Could Break Your AIAI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to insights, and supporting a growing range of workloads. In this episode, Corey Knowles speaks with Vrashank Jain, lead product manager for Dell’s AI Data Platform, about how businesses can overcome these hurdles with solutions that simplify data management, enhance performance, and unlock the full potential of their AI investments.
Link to BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Artificial Intelligence -
Video -
Big Data & Analytics -
Cloud -
Networking - Cybersecurity Cybersecurity
- Applications Applications
- IT Management IT Management
- Storage Storage
- Mobile Mobile
- Small Business Small Business
- Development Development
- Database Database
- Servers Servers
- Android Android
- Apple Apple
- Innovation Innovation
- PC Hardware PC Hardware
- Reviews Reviews
- Search Engines Search Engines
- Virtualization Virtualization
-
- Blogs Blogs
- Events Events