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Internet and Cloud Creating Network Blind Spots

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom.

The survey of more than 500 networking, operations, cloud, and architecture professionals also uncovered a surprising shortage of skilled workers requiring 65% of respondents to rely on third-party resources for network operations.

These findings paint a concerning picture as organizations struggle to meet demand for modern IT networks.

Cloud and Internet Reliance Leads to Greater Network Complexity

With 98% of companies using or planning to use cloud infrastructure and 95% enabling remote workers, the network has become increasingly more complex, as noted by 78% of respondents. Network endpoints are spread far and wide and often exist in workers' homes which makes it challenging to gain the visibility necessary to ensure uptime, performance, and security.

An additional challenge is the lack of information provided by ISPs and cloud providers, leading 80% to state that internet and cloud environments create network blind spots which can often create delays in issue remediation. These findings indicate that most companies don't have proper network operations and observability tools for today's modern IT environment.

Lack of Skilled Teams a Growing Challenge

When asked about the specific challenges they face with network operations management, 41% pointed to a lack of needed skillsets, while not having enough operations personnel was cited by 31%. Digging deeper to understand what is inhibiting teams' ability to grow, nearly half (48%) of respondents said candidates lack the needed skills, and 45% pointed to a general lack of available candidates.

Not surprisingly, 65% of organizations are turning to third parties for network operations support, a stop-gap measure to fill the void, but not a long-term solution. Thus, few teams are gaining the hands-on experience necessary to develop the capabilities they need to manage the network themselves. This means a greater reliance on tools and third-party data

Teams Lack Critical Data and Learn About Issues from Users

Unfortunately, 84% of network professionals indicated they regularly learn about issues from users, which means users are experiencing performance problems before the network team knows. This is a clear reflection of the lack of information network teams have access to. In fact, 95% of respondents say they do not get the information they need from ISPs and cloud providers. According to 76% of respondents, slow or missing data directly impedes resolution times.

"The results of this survey serve to highlight some of the biggest issues network operations teams are facing today," said Mike Melillo, Senior Director, Network Management Solutions, Broadcom. "Ensuring the performance of the network is mission-critical for every business. Yet, the data shows that teams aren't getting the support, staff, or tools they need to make their jobs simpler. Given the importance of the network for modern business, the industry needs to continue to work to collect, correlate and normalize multi-vendor network data that produces intelligent remediation recommendations and focused triage workflows and helps resolve the challenges captured in this research project."

Methodology: Networking, operations, cloud, and architecture professionals at medium to global enterprise companies representing all seniority levels were invited to participate in a survey on their company's network operations practices. The survey was administered electronically, and participants were offered a token compensation for their participation. A total of 505 qualified participants completed the survey. All participants had enterprise security responsibilities. Participants were from 5 continents, providing a global perspective.

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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? ...

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Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

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Internet and Cloud Creating Network Blind Spots

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom.

The survey of more than 500 networking, operations, cloud, and architecture professionals also uncovered a surprising shortage of skilled workers requiring 65% of respondents to rely on third-party resources for network operations.

These findings paint a concerning picture as organizations struggle to meet demand for modern IT networks.

Cloud and Internet Reliance Leads to Greater Network Complexity

With 98% of companies using or planning to use cloud infrastructure and 95% enabling remote workers, the network has become increasingly more complex, as noted by 78% of respondents. Network endpoints are spread far and wide and often exist in workers' homes which makes it challenging to gain the visibility necessary to ensure uptime, performance, and security.

An additional challenge is the lack of information provided by ISPs and cloud providers, leading 80% to state that internet and cloud environments create network blind spots which can often create delays in issue remediation. These findings indicate that most companies don't have proper network operations and observability tools for today's modern IT environment.

Lack of Skilled Teams a Growing Challenge

When asked about the specific challenges they face with network operations management, 41% pointed to a lack of needed skillsets, while not having enough operations personnel was cited by 31%. Digging deeper to understand what is inhibiting teams' ability to grow, nearly half (48%) of respondents said candidates lack the needed skills, and 45% pointed to a general lack of available candidates.

Not surprisingly, 65% of organizations are turning to third parties for network operations support, a stop-gap measure to fill the void, but not a long-term solution. Thus, few teams are gaining the hands-on experience necessary to develop the capabilities they need to manage the network themselves. This means a greater reliance on tools and third-party data

Teams Lack Critical Data and Learn About Issues from Users

Unfortunately, 84% of network professionals indicated they regularly learn about issues from users, which means users are experiencing performance problems before the network team knows. This is a clear reflection of the lack of information network teams have access to. In fact, 95% of respondents say they do not get the information they need from ISPs and cloud providers. According to 76% of respondents, slow or missing data directly impedes resolution times.

"The results of this survey serve to highlight some of the biggest issues network operations teams are facing today," said Mike Melillo, Senior Director, Network Management Solutions, Broadcom. "Ensuring the performance of the network is mission-critical for every business. Yet, the data shows that teams aren't getting the support, staff, or tools they need to make their jobs simpler. Given the importance of the network for modern business, the industry needs to continue to work to collect, correlate and normalize multi-vendor network data that produces intelligent remediation recommendations and focused triage workflows and helps resolve the challenges captured in this research project."

Methodology: Networking, operations, cloud, and architecture professionals at medium to global enterprise companies representing all seniority levels were invited to participate in a survey on their company's network operations practices. The survey was administered electronically, and participants were offered a token compensation for their participation. A total of 505 qualified participants completed the survey. All participants had enterprise security responsibilities. Participants were from 5 continents, providing a global perspective.

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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 ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...