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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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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

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

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...