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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...