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Enterprises That Stopped IT Cloud Migrations Had 2.5x Outages During Global Pandemic

Scott Leatherman
Virtana

Enterprises that halted their cloud migration journey during the current global pandemic are two and a half times more likely than those that continued their move to the cloud to have experienced IT outages that negatively impacted their SLAs, according to Virtana's latest survey report The Current State of Hybrid Cloud and IT.

The survey of IT infrastructure decision-makers across the US and UK also showed enterprises that continued their migration saw significantly less missed outages, less impacted access to support services, and less visibility and performance issues.

The survey found that more than half of businesses (52%) said the new economic climate has exposed a lack of access to the correct IT tools to run efficiently, while 47% said it has highlighted a lack of visibility into their IT systems overall, and more than a third (34%) said the pandemic has contributed to missed outages in key IT performance.

"In 2020, our world is changing dramatically, and IT's role in providing critical business and communication services has become paramount," said Dennis Drogseth, VP with Enterprise Management Associates (EMA). "But to step up to the accelerating requirements for IT efficiency and dynamic service delivery, IT must itself begin to change by finding more proactive and more unified ways of working."

The report highlights how the global COVID-19 pandemic has changed IT operations and the impact remote-working practices have had on businesses. More than 75% of respondents said that machine learning (ML) and artificial intelligence for IT operations (AIOps) will be key to supporting their remote working practices. The current environment requires a transformative approach to IT and IT-to-business interaction, and the move to hybrid cloud is a central part of that equation.

"IT leaders across the globe are facing a unique challenge right now. The global pandemic has resulted in a monumental increase in IT workloads and has forced IT decision-makers to make changes to their operations overnight. It has arguably accelerated the need for digital transformation," said Ron Sege, CEO, Virtana.

Other key findings from the research:

■ Respondents who halted their migration to the cloud are 2x as likely to over-provision to ensure performance as those who continued migrating.

■ Two-thirds of respondents who experienced performance issues also cite lack of visibility.

■ The vast majority of respondents (79% ) who experienced performance issues also lack sufficient access to tools.

"What's striking is the stark differences being reported by businesses which continued on their journey to the cloud, and those that haven't. More than 30% of IT professionals stopped their company's cloud migration process, and those that did were twice as likely to over-provision to ensure performance. But this had little impact, as almost two-thirds of those who over-provisioned reported having KPI-busting outages — twice that of those who didn't halt their cloud migrations. The report shows there are clear lessons to be learned in the running of IT operations in today's climate. Businesses need to utilize advanced IT analytics and automation techniques, such AIOps, to enable and embrace hybrid cloud and IT transformation overall," added Sege.

Scott Leatherman is CMO of Virtana

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Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

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AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

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If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

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Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprises That Stopped IT Cloud Migrations Had 2.5x Outages During Global Pandemic

Scott Leatherman
Virtana

Enterprises that halted their cloud migration journey during the current global pandemic are two and a half times more likely than those that continued their move to the cloud to have experienced IT outages that negatively impacted their SLAs, according to Virtana's latest survey report The Current State of Hybrid Cloud and IT.

The survey of IT infrastructure decision-makers across the US and UK also showed enterprises that continued their migration saw significantly less missed outages, less impacted access to support services, and less visibility and performance issues.

The survey found that more than half of businesses (52%) said the new economic climate has exposed a lack of access to the correct IT tools to run efficiently, while 47% said it has highlighted a lack of visibility into their IT systems overall, and more than a third (34%) said the pandemic has contributed to missed outages in key IT performance.

"In 2020, our world is changing dramatically, and IT's role in providing critical business and communication services has become paramount," said Dennis Drogseth, VP with Enterprise Management Associates (EMA). "But to step up to the accelerating requirements for IT efficiency and dynamic service delivery, IT must itself begin to change by finding more proactive and more unified ways of working."

The report highlights how the global COVID-19 pandemic has changed IT operations and the impact remote-working practices have had on businesses. More than 75% of respondents said that machine learning (ML) and artificial intelligence for IT operations (AIOps) will be key to supporting their remote working practices. The current environment requires a transformative approach to IT and IT-to-business interaction, and the move to hybrid cloud is a central part of that equation.

"IT leaders across the globe are facing a unique challenge right now. The global pandemic has resulted in a monumental increase in IT workloads and has forced IT decision-makers to make changes to their operations overnight. It has arguably accelerated the need for digital transformation," said Ron Sege, CEO, Virtana.

Other key findings from the research:

■ Respondents who halted their migration to the cloud are 2x as likely to over-provision to ensure performance as those who continued migrating.

■ Two-thirds of respondents who experienced performance issues also cite lack of visibility.

■ The vast majority of respondents (79% ) who experienced performance issues also lack sufficient access to tools.

"What's striking is the stark differences being reported by businesses which continued on their journey to the cloud, and those that haven't. More than 30% of IT professionals stopped their company's cloud migration process, and those that did were twice as likely to over-provision to ensure performance. But this had little impact, as almost two-thirds of those who over-provisioned reported having KPI-busting outages — twice that of those who didn't halt their cloud migrations. The report shows there are clear lessons to be learned in the running of IT operations in today's climate. Businesses need to utilize advanced IT analytics and automation techniques, such AIOps, to enable and embrace hybrid cloud and IT transformation overall," added Sege.

Scott Leatherman is CMO of Virtana

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...