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New VMware Strategy Drives IT as a Service

VMware Sets New Agenda at VMWorld 2010

VMworld 2010 could have some major consequences for Business Service Management, and with this in mind, maybe the most important announcement at the show was the unveiling of VMware’s strategy to drive IT as a Service - the transformation of IT to a more business-centric approach, focusing on outcomes such as operational efficiency, competitiveness and rapid response. According to VMware, this means shifting IT’s responsibility from simply delivering IT services to optimizing production and consumption of those services to support the organization’s business requirements. Ultimately, this changes the role of IT from a cost center to a center of strategic value.

VMware’s vision of a business-centric “IT as a Service” model is supported by the company’s efforts to improve approaches at the critical layers of what VMware defines as the modern IT architecture: infrastructure, applications and end-user access. Central to the VMware strategy is an infrastructure that will enable IT to redefine its relationship with the business, by producing services in a self-service model, with consistent policies and business contracts aligning resources to business needs.

“A shift to a services-based relationship and much faster response to demand are two reasons why virtualization fundamentally affects more than IT,” says Thomas Bittman from Gartner. “Cloud computing is more than an infrastructure change, it is a change in the relationship between IT and the business. The decoupling created by virtualization, combined with defined service offerings and automation, is a great enabler of cloud computing.”

Within the IT as a Service model, VMware predicts the physical boundaries that have governed enterprise IT will erode, and pools of resources will combine the enterprise datacenter with external or public cloud providers, without compromising security or quality of service. VMware sees the consumer of IT services gaining near infinite resources, accessible on demand, with performance levels matched to business priorities.

The company’s strategy seeks to free users and IT from complex, device-centric computing and deliver a more consumer-focused cloud experience for the enterprise. VMware backed up this strategy with major announcements at VMworld 2010, including the introduction of VMware vFabric, a cloud application platform that includes application performance management from VMware’s Hyperic monitoring tool. Together, these technologies are expected to change the way applications are delivered and managed, and drive IT as a Service.

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New VMware Strategy Drives IT as a Service

VMware Sets New Agenda at VMWorld 2010

VMworld 2010 could have some major consequences for Business Service Management, and with this in mind, maybe the most important announcement at the show was the unveiling of VMware’s strategy to drive IT as a Service - the transformation of IT to a more business-centric approach, focusing on outcomes such as operational efficiency, competitiveness and rapid response. According to VMware, this means shifting IT’s responsibility from simply delivering IT services to optimizing production and consumption of those services to support the organization’s business requirements. Ultimately, this changes the role of IT from a cost center to a center of strategic value.

VMware’s vision of a business-centric “IT as a Service” model is supported by the company’s efforts to improve approaches at the critical layers of what VMware defines as the modern IT architecture: infrastructure, applications and end-user access. Central to the VMware strategy is an infrastructure that will enable IT to redefine its relationship with the business, by producing services in a self-service model, with consistent policies and business contracts aligning resources to business needs.

“A shift to a services-based relationship and much faster response to demand are two reasons why virtualization fundamentally affects more than IT,” says Thomas Bittman from Gartner. “Cloud computing is more than an infrastructure change, it is a change in the relationship between IT and the business. The decoupling created by virtualization, combined with defined service offerings and automation, is a great enabler of cloud computing.”

Within the IT as a Service model, VMware predicts the physical boundaries that have governed enterprise IT will erode, and pools of resources will combine the enterprise datacenter with external or public cloud providers, without compromising security or quality of service. VMware sees the consumer of IT services gaining near infinite resources, accessible on demand, with performance levels matched to business priorities.

The company’s strategy seeks to free users and IT from complex, device-centric computing and deliver a more consumer-focused cloud experience for the enterprise. VMware backed up this strategy with major announcements at VMworld 2010, including the introduction of VMware vFabric, a cloud application platform that includes application performance management from VMware’s Hyperic monitoring tool. Together, these technologies are expected to change the way applications are delivered and managed, and drive IT as a Service.

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For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...