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IT Is Finally Driving Cloud Strategy, But the Network Team Needs to Catch Up

Shamus McGillicuddy

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since.

Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA). For its new report, Enterprise Strategies for Hybrid, Multi-Cloud Networks, EMA surveyed 354 IT decision-makers at companies that maintain a hybrid, multi-cloud architecture. We asked them which parts of their companies are driving cloud strategy. The top responses were:

1. IT leadership (46%)
2. Cybersecurity or IT security (42%)
3. IT infrastructure and operations (41%)

Only 14% selected the C-suite (CEOs, COOs) and only 13% selected lines of business (product management, marketing, etc.). Twelve years ago, these numbers would have been quite different. Back then, cloud teams answered to the business and IT infrastructure teams answered to the CIO's office. An expertise gap developed between these silos. Early migrations into the cloud were often plagued by security risks, compliance violations, and performance problems because cloud developers knew very little about security policies and controls, compliance requirements, routing, DNS, IP address space, etc. Those are skills that live in the IT organization.

Enterprises have learned from their mistakes. EMA research found that only 21% of hybrid, multi-cloud enterprises continue to have siloed IT and cloud teams. Instead, 42% have dissolved these silos. Another 37% have created cloud "centers of excellence" that draw personnel from both groups.

Regardless of this shift, more work remains. EMA zoomed in on the role of the network team because our analysts find that many network engineers and architects continue to be sidelined by cloud teams, even as silos are breaking down. The network team often plays a supporting role, usually provisioning and managing interconnects between data centers and cloud providers. In fact, only 37% of the stakeholders we surveyed believed that collaboration between their network teams and their cloud teams was fully effective. EMA believes that the network team needs to grab a seat at the cloud table to ensure that cloud-based applications and services are resilient and deliver good performance.

Based on our research, EMA recommends that network teams do the following to improve their collaboration with cloud teams:

 
■ Adopt network monitoring or observability tools that provide good visibility across hybrid, multi-cloud networks.


■ Extend enterprise IP address management into the cloud to provide overlay management of cloud-native DNS services.


■ Adopt additional tools to centralize management of IP address space, traffic routing, ingress/egress controls, and load balancing across clouds.


■ Establish an effective multi-cloud network source of truth that serves as a centralized point of access for operational data.

 

Click here for a direct MP3 download of Episode 13

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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 ...

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IT Is Finally Driving Cloud Strategy, But the Network Team Needs to Catch Up

Shamus McGillicuddy

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since.

Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA). For its new report, Enterprise Strategies for Hybrid, Multi-Cloud Networks, EMA surveyed 354 IT decision-makers at companies that maintain a hybrid, multi-cloud architecture. We asked them which parts of their companies are driving cloud strategy. The top responses were:

1. IT leadership (46%)
2. Cybersecurity or IT security (42%)
3. IT infrastructure and operations (41%)

Only 14% selected the C-suite (CEOs, COOs) and only 13% selected lines of business (product management, marketing, etc.). Twelve years ago, these numbers would have been quite different. Back then, cloud teams answered to the business and IT infrastructure teams answered to the CIO's office. An expertise gap developed between these silos. Early migrations into the cloud were often plagued by security risks, compliance violations, and performance problems because cloud developers knew very little about security policies and controls, compliance requirements, routing, DNS, IP address space, etc. Those are skills that live in the IT organization.

Enterprises have learned from their mistakes. EMA research found that only 21% of hybrid, multi-cloud enterprises continue to have siloed IT and cloud teams. Instead, 42% have dissolved these silos. Another 37% have created cloud "centers of excellence" that draw personnel from both groups.

Regardless of this shift, more work remains. EMA zoomed in on the role of the network team because our analysts find that many network engineers and architects continue to be sidelined by cloud teams, even as silos are breaking down. The network team often plays a supporting role, usually provisioning and managing interconnects between data centers and cloud providers. In fact, only 37% of the stakeholders we surveyed believed that collaboration between their network teams and their cloud teams was fully effective. EMA believes that the network team needs to grab a seat at the cloud table to ensure that cloud-based applications and services are resilient and deliver good performance.

Based on our research, EMA recommends that network teams do the following to improve their collaboration with cloud teams:

 
■ Adopt network monitoring or observability tools that provide good visibility across hybrid, multi-cloud networks.


■ Extend enterprise IP address management into the cloud to provide overlay management of cloud-native DNS services.


■ Adopt additional tools to centralize management of IP address space, traffic routing, ingress/egress controls, and load balancing across clouds.


■ Establish an effective multi-cloud network source of truth that serves as a centralized point of access for operational data.

 

Click here for a direct MP3 download of Episode 13

Hot Topics

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...