Skip to main content

AI, Security, and Sustainability Are Major Drivers for IT Modernization

The use of hybrid multicloud models is forecasted to double over the next one to three years as IT decision makers are facing new pressures to modernize IT infrastructures because of drivers like AI, security, and sustainability, according to the Enterprise Cloud Index (ECI) report from Nutanix.


Source: Nutanix

As organizations continue to grapple with the complexities of moving applications and data across environments, the report highlighted the growing importance of hybrid multicloud infrastructure. The report found that security and innovation were the top drivers for moving applications from one environment to another over the past year. As AI takes center stage for businesses, respondents identified increasing investments to support AI strategy as their #1 priority, followed closely by investment in IT modernization.

"Whether it be because of AI, sustainability, or security imperatives, IT organizations are facing ever-increasing pressure to modernize their IT infrastructure quickly," said Lee Caswell, SVP, Product and Solutions Marketing at Nutanix. "80% of ECI respondents are planning to invest in IT modernization, with 85% planning to increase their investments specifically to support AI. What this year's ECI reveals is that organizations need to support the technologies of tomorrow by future proofing their IT infrastructure today. Hybrid multicloud continues to emerge as the infrastructure standard of choice because of the flexibility it provides to support traditional VM and modern containerized applications and movement between clouds and on-prem."

Key findings from this year's report include:

Hybrid multicloud infrastructure deployments will become an infrastructure standard

90% of ECI respondents are taking a "cloud smart" approach to their infrastructure strategy — leveraging the best environment (e.g., data center, public cloud, edge) for each of their applications. Given the pervasiveness of this approach, it is no wonder that hybrid and multicloud environments have become the de facto infrastructure standard. Furthermore, over 80% of organizations believe hybrid IT environments are most beneficial to their ability to manage applications and data. Most importantly, this is now becoming an executive priority, with nearly half of respondents noting that implementing hybrid IT is a top priority for their CIO.

Ransomware protection is top of mind

Ransomware protection is top of mind for both CXOs and practitioners but most organizations continue to struggle in the wake of attacks. Ransomware and malware attacks will remain existential threats to modern enterprises, with the cat-and-mouse game between malicious actors and enterprise security professionals set to continue throughout 2024. Yet, data protection and recovery remain a challenge, as 71% of respondents who experienced a ransomware attack reported taking days or even weeks to restore full operations. To help address this, 78% of organizations say they plan to increase investments in ransomware protection solutions throughout this year.

Application and data movement remains a challenge

As organizations seek equilibrium driven by security and innovation, application and data movement remains a complex challenge. Enterprise workloads — including their applications and data — often find their way into the IT environment which best suits their needs, whether that environment is an on-premises data center, the public cloud, a smaller edge location, or a mix of all three.

This diversity of application placement is part of the reason why 95% of respondents say they moved applications from one environment to another over the past year, with security and innovation as the top drivers for this movement. Enterprises should expect application and data movement to remain constant, and plan infrastructure choices accordingly — emphasizing flexibility and visibility. Today, organizations face significant roadblocks when it comes to executing complex application migrations, with 35% of respondents saying workload and application migration is a significant challenge given their current IT infrastructure.

It teams are starting sustainability programs

IT teams aren't just planning their sustainability programs, they are actively implementing them starting with IT modernization. 88% of respondents agree that sustainability is a priority for their organization. However, unlike in the previous report where action was limited, many organizations indicate they are already taking active steps to implement sustainability initiatives, with the most common being modernizing IT infrastructure. This is a fascinating result, and one that shows the direct impact of IT infrastructure on sustainability.

Infrastructure modernization is becoming an imperative

Infrastructure modernization is becoming an imperative, driven by AI, modern applications and data growth. Respondents identified increased investment to support AI strategy as their #1 priority, followed closely by investment in IT modernization. Furthermore, 37% of respondents indicate running AI applications on their current IT infrastructure will be a "significant" challenge.

In order to mitigate and overcome this challenge, organizations are prioritizing IT modernization and edge infrastructure deployments, which can facilitate faster processing and access to data. This, in turn, can help improve their ability to link data from multiple environments to give better visibility into where data resides across their sprawling ecosystems

Methodology: Vanson Bourne conducted research on behalf of Nutanix, surveying 1,500 IT and DevOps/Platform Engineering decision-makers around the world in December 2023. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region.

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 ...

AI, Security, and Sustainability Are Major Drivers for IT Modernization

The use of hybrid multicloud models is forecasted to double over the next one to three years as IT decision makers are facing new pressures to modernize IT infrastructures because of drivers like AI, security, and sustainability, according to the Enterprise Cloud Index (ECI) report from Nutanix.


Source: Nutanix

As organizations continue to grapple with the complexities of moving applications and data across environments, the report highlighted the growing importance of hybrid multicloud infrastructure. The report found that security and innovation were the top drivers for moving applications from one environment to another over the past year. As AI takes center stage for businesses, respondents identified increasing investments to support AI strategy as their #1 priority, followed closely by investment in IT modernization.

"Whether it be because of AI, sustainability, or security imperatives, IT organizations are facing ever-increasing pressure to modernize their IT infrastructure quickly," said Lee Caswell, SVP, Product and Solutions Marketing at Nutanix. "80% of ECI respondents are planning to invest in IT modernization, with 85% planning to increase their investments specifically to support AI. What this year's ECI reveals is that organizations need to support the technologies of tomorrow by future proofing their IT infrastructure today. Hybrid multicloud continues to emerge as the infrastructure standard of choice because of the flexibility it provides to support traditional VM and modern containerized applications and movement between clouds and on-prem."

Key findings from this year's report include:

Hybrid multicloud infrastructure deployments will become an infrastructure standard

90% of ECI respondents are taking a "cloud smart" approach to their infrastructure strategy — leveraging the best environment (e.g., data center, public cloud, edge) for each of their applications. Given the pervasiveness of this approach, it is no wonder that hybrid and multicloud environments have become the de facto infrastructure standard. Furthermore, over 80% of organizations believe hybrid IT environments are most beneficial to their ability to manage applications and data. Most importantly, this is now becoming an executive priority, with nearly half of respondents noting that implementing hybrid IT is a top priority for their CIO.

Ransomware protection is top of mind

Ransomware protection is top of mind for both CXOs and practitioners but most organizations continue to struggle in the wake of attacks. Ransomware and malware attacks will remain existential threats to modern enterprises, with the cat-and-mouse game between malicious actors and enterprise security professionals set to continue throughout 2024. Yet, data protection and recovery remain a challenge, as 71% of respondents who experienced a ransomware attack reported taking days or even weeks to restore full operations. To help address this, 78% of organizations say they plan to increase investments in ransomware protection solutions throughout this year.

Application and data movement remains a challenge

As organizations seek equilibrium driven by security and innovation, application and data movement remains a complex challenge. Enterprise workloads — including their applications and data — often find their way into the IT environment which best suits their needs, whether that environment is an on-premises data center, the public cloud, a smaller edge location, or a mix of all three.

This diversity of application placement is part of the reason why 95% of respondents say they moved applications from one environment to another over the past year, with security and innovation as the top drivers for this movement. Enterprises should expect application and data movement to remain constant, and plan infrastructure choices accordingly — emphasizing flexibility and visibility. Today, organizations face significant roadblocks when it comes to executing complex application migrations, with 35% of respondents saying workload and application migration is a significant challenge given their current IT infrastructure.

It teams are starting sustainability programs

IT teams aren't just planning their sustainability programs, they are actively implementing them starting with IT modernization. 88% of respondents agree that sustainability is a priority for their organization. However, unlike in the previous report where action was limited, many organizations indicate they are already taking active steps to implement sustainability initiatives, with the most common being modernizing IT infrastructure. This is a fascinating result, and one that shows the direct impact of IT infrastructure on sustainability.

Infrastructure modernization is becoming an imperative

Infrastructure modernization is becoming an imperative, driven by AI, modern applications and data growth. Respondents identified increased investment to support AI strategy as their #1 priority, followed closely by investment in IT modernization. Furthermore, 37% of respondents indicate running AI applications on their current IT infrastructure will be a "significant" challenge.

In order to mitigate and overcome this challenge, organizations are prioritizing IT modernization and edge infrastructure deployments, which can facilitate faster processing and access to data. This, in turn, can help improve their ability to link data from multiple environments to give better visibility into where data resides across their sprawling ecosystems

Methodology: Vanson Bourne conducted research on behalf of Nutanix, surveying 1,500 IT and DevOps/Platform Engineering decision-makers around the world in December 2023. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region.

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 ...