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Many Organizations Lack Cloud Strategy

Eric Senunas

While the common assumption is that the cloud represents reduced costs and better application performance, many organizations will fail to realize those benefits, according to research by VMTurbo. A multi-cloud approach, where businesses operate a number of separate private and public clouds, is an essential precursor to a true hybrid cloud. Yet in the survey of 1,368 organizations 57 percent of those surveyed had no multi-cloud strategy at all. Similarly, 35 percent had no private cloud strategy, and 28 percent had no public cloud strategy.

“A lack of cloud strategy doesn’t mean an organization has studied and rejected the idea of the cloud; it means it has given adoption little or no thought at all,” said Charles Crouchman, CTO of VMTurbo. “As organizations make the journey from on-premise IT, to public and private clouds, and finally to multi- and hybrid clouds, it’s essential that they address this. Having a cloud strategy means understanding the precise costs and challenges that the cloud will introduce, knowing how to make the cloud approach work for you, and choosing technologies that will supplement cloud adoption. For instance, by automating workload allocation so that services are always provided with the best performance for the best cost. Without a strategy, organizations will be condemning themselves to higher-than-expected costs, and a cloud that never performs to its full potential.”

Above and beyond this lack of strategy, SMEs in particular were shown to massively underestimate the costs of cloud implementation. While those planning private cloud builds gave an average estimated budget of $148,605, SMEs that have already completed builds revealed an average cost of $898,508: more than six times the estimates.

Other interesting statistics from the survey included:

Adopting cloud is not a quick, simple process: Even for those organizations with a cloud strategy, the majority (60 percent) take over a year to plan and build their multi-cloud infrastructure, with six percent taking over three years. Private and public cloud adoption is also relatively lengthy, with 66 percent of private cloud builds, and 51 percent of public cloud migrations, taking over a year.

Growth of virtualization is inevitable and exponential: The number of virtual machines in organizations is growing at a rate of 29 percent per year; compared to 13 percent for physical. With virtualization forming a crucial platform for cloud services, it suggests that the technology will favor a cloud approach in the future.

Organizations’ priorities are split: When asked how they prioritize workloads in their multi-cloud infrastructure, organizations were split between workload-based residence policies (27 percent of respondents), performance-based (23 percent), user-based (22 percent) and cost-based (13 percent). Ten percent had no clearly-defined residence policies.

“The cloud is the future of computing – increasingly, the question for organizations is when, not if, they make the move,” continued Crouchman. “However, organizations need to understand that the cloud does not follow the same rules as a traditional IT infrastructure, and adapt their approach accordingly. For instance, workload priorities are still treated as static. Yet the infrastructure housing those workloads, and the ongoing needs of the business, are completely fluid. An organization using the cloud should be able to adapt its workloads dynamically so that they always meet the business’s priorities at that precise time. Without this change in outlook, organizations will soon find themselves squandering the potential the cloud provides.”

Eric Senunas is VP of Marketing at VMTurbo.

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Many Organizations Lack Cloud Strategy

Eric Senunas

While the common assumption is that the cloud represents reduced costs and better application performance, many organizations will fail to realize those benefits, according to research by VMTurbo. A multi-cloud approach, where businesses operate a number of separate private and public clouds, is an essential precursor to a true hybrid cloud. Yet in the survey of 1,368 organizations 57 percent of those surveyed had no multi-cloud strategy at all. Similarly, 35 percent had no private cloud strategy, and 28 percent had no public cloud strategy.

“A lack of cloud strategy doesn’t mean an organization has studied and rejected the idea of the cloud; it means it has given adoption little or no thought at all,” said Charles Crouchman, CTO of VMTurbo. “As organizations make the journey from on-premise IT, to public and private clouds, and finally to multi- and hybrid clouds, it’s essential that they address this. Having a cloud strategy means understanding the precise costs and challenges that the cloud will introduce, knowing how to make the cloud approach work for you, and choosing technologies that will supplement cloud adoption. For instance, by automating workload allocation so that services are always provided with the best performance for the best cost. Without a strategy, organizations will be condemning themselves to higher-than-expected costs, and a cloud that never performs to its full potential.”

Above and beyond this lack of strategy, SMEs in particular were shown to massively underestimate the costs of cloud implementation. While those planning private cloud builds gave an average estimated budget of $148,605, SMEs that have already completed builds revealed an average cost of $898,508: more than six times the estimates.

Other interesting statistics from the survey included:

Adopting cloud is not a quick, simple process: Even for those organizations with a cloud strategy, the majority (60 percent) take over a year to plan and build their multi-cloud infrastructure, with six percent taking over three years. Private and public cloud adoption is also relatively lengthy, with 66 percent of private cloud builds, and 51 percent of public cloud migrations, taking over a year.

Growth of virtualization is inevitable and exponential: The number of virtual machines in organizations is growing at a rate of 29 percent per year; compared to 13 percent for physical. With virtualization forming a crucial platform for cloud services, it suggests that the technology will favor a cloud approach in the future.

Organizations’ priorities are split: When asked how they prioritize workloads in their multi-cloud infrastructure, organizations were split between workload-based residence policies (27 percent of respondents), performance-based (23 percent), user-based (22 percent) and cost-based (13 percent). Ten percent had no clearly-defined residence policies.

“The cloud is the future of computing – increasingly, the question for organizations is when, not if, they make the move,” continued Crouchman. “However, organizations need to understand that the cloud does not follow the same rules as a traditional IT infrastructure, and adapt their approach accordingly. For instance, workload priorities are still treated as static. Yet the infrastructure housing those workloads, and the ongoing needs of the business, are completely fluid. An organization using the cloud should be able to adapt its workloads dynamically so that they always meet the business’s priorities at that precise time. Without this change in outlook, organizations will soon find themselves squandering the potential the cloud provides.”

Eric Senunas is VP of Marketing at VMTurbo.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.