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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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Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

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As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

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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.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...