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How the Proliferation of Cloud, Internet and Remote Work Impacts Network Operations

Jeremy Rossbach

Efficiency is a highly-desirable objective in business. Efficiency, after all, often translates to measurable savings of all kinds — cost, time, effort, etc. But, when the push for efficiency interferes with other important goals, a business may find itself looking at diminishing returns rather than the efficiency gains it was banking on.

We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges.

Image
Broadcom

 

Cloud and Internet Reliance

According to the survey, 98% of companies are using or planning to use cloud infrastructure and 95% are still supporting remote workers. As a result, the network has become increasingly more complex, noted by 78% of respondents.

Consider that the modern IT environment now includes cloud — public, private and hybrid — virtual machines and network devices, and numerous applications and resources connected across the internet. 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.

Digging deeper, when asked what specifically is making network operations more challenging, the top answer was cloud environments (62%). Close behind at 55%, respondents cited overall scale, including physical and virtual devices and those not directly controlled by the IT teams, such as public cloud infrastructure and personal devices.

This reliance on the cloud and public internet means much of the network is hidden from view and out of network operators' control. In fact, 80% of respondents claim internet and cloud environments create network blind spots which can often create delays in issue remediation.

Teams Lack Critical Data

When network operations teams don't have the information they need to ensure uptime and performance, it's a problem that can lead to costly downtime. In fact, 76% of respondents said slow or missing data directly impedes resolution times. Yet, 95% of respondents say they do not get the information they need from ISPs and cloud providers, indicative of the information challenge network teams are facing. What's worse, 84% of network professionals indicated that they regularly learn about issues from users.

Asked to elaborate on the information they need but aren't getting from ISPs, survey respondents cited path latency and node or hop issues, information about route changes, DDoS attack locations, DNS issues, historical performance by path, and path packet loss. This is critical information network operations teams could use proactively to prevent network performance or availability incidents and improve issue resolution speeds.

Despite expectations for better information flow from CSPs, respondents offered a list of information they need but don't get from these providers, including security events and infrastructure issues, authentication and access issues, node and hop issues, and path latency.

This lack of visibility into cloud and internet network issues is a problem with potentially costly repercussions.

Poor network operations tools exacerbate issues

Tooling is a common approach to managing an increasingly complex network as evidenced by the 84% of organizations that use five or more network management tools. Likely purchased to support new technologies such as cloud or remote employees, the use of numerous tools adds additional complexity and costs. Interestingly, over 30% of respondents directly called out poor network operation tools for making network operations more challenging. It seems clear that organizations are struggling to find the right network operations tools to meet their needs leading to tool sprawl.

A more efficient network means better business performance

For efficient and effective network operations, observability is paramount. Lack of observability makes ensuring uptime, performance, and security more challenging and also creates delays in issue remediation. With demand for reliable IT networks at an all-time high as the workplace continues to expand and adopt remote and transitory work models, the need for end-to-end observability cannot be understated. Modern network operation tools can help network teams overcome blind spots by directly pulling in information from cloud and internet providers and consolidating network information in one place. Efficiency may be a business objective, but a reliable network must take precedence. After all, if the network goes down, so does the business.

The Latest

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

How the Proliferation of Cloud, Internet and Remote Work Impacts Network Operations

Jeremy Rossbach

Efficiency is a highly-desirable objective in business. Efficiency, after all, often translates to measurable savings of all kinds — cost, time, effort, etc. But, when the push for efficiency interferes with other important goals, a business may find itself looking at diminishing returns rather than the efficiency gains it was banking on.

We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges.

Image
Broadcom

 

Cloud and Internet Reliance

According to the survey, 98% of companies are using or planning to use cloud infrastructure and 95% are still supporting remote workers. As a result, the network has become increasingly more complex, noted by 78% of respondents.

Consider that the modern IT environment now includes cloud — public, private and hybrid — virtual machines and network devices, and numerous applications and resources connected across the internet. 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.

Digging deeper, when asked what specifically is making network operations more challenging, the top answer was cloud environments (62%). Close behind at 55%, respondents cited overall scale, including physical and virtual devices and those not directly controlled by the IT teams, such as public cloud infrastructure and personal devices.

This reliance on the cloud and public internet means much of the network is hidden from view and out of network operators' control. In fact, 80% of respondents claim internet and cloud environments create network blind spots which can often create delays in issue remediation.

Teams Lack Critical Data

When network operations teams don't have the information they need to ensure uptime and performance, it's a problem that can lead to costly downtime. In fact, 76% of respondents said slow or missing data directly impedes resolution times. Yet, 95% of respondents say they do not get the information they need from ISPs and cloud providers, indicative of the information challenge network teams are facing. What's worse, 84% of network professionals indicated that they regularly learn about issues from users.

Asked to elaborate on the information they need but aren't getting from ISPs, survey respondents cited path latency and node or hop issues, information about route changes, DDoS attack locations, DNS issues, historical performance by path, and path packet loss. This is critical information network operations teams could use proactively to prevent network performance or availability incidents and improve issue resolution speeds.

Despite expectations for better information flow from CSPs, respondents offered a list of information they need but don't get from these providers, including security events and infrastructure issues, authentication and access issues, node and hop issues, and path latency.

This lack of visibility into cloud and internet network issues is a problem with potentially costly repercussions.

Poor network operations tools exacerbate issues

Tooling is a common approach to managing an increasingly complex network as evidenced by the 84% of organizations that use five or more network management tools. Likely purchased to support new technologies such as cloud or remote employees, the use of numerous tools adds additional complexity and costs. Interestingly, over 30% of respondents directly called out poor network operation tools for making network operations more challenging. It seems clear that organizations are struggling to find the right network operations tools to meet their needs leading to tool sprawl.

A more efficient network means better business performance

For efficient and effective network operations, observability is paramount. Lack of observability makes ensuring uptime, performance, and security more challenging and also creates delays in issue remediation. With demand for reliable IT networks at an all-time high as the workplace continues to expand and adopt remote and transitory work models, the need for end-to-end observability cannot be understated. Modern network operation tools can help network teams overcome blind spots by directly pulling in information from cloud and internet providers and consolidating network information in one place. Efficiency may be a business objective, but a reliable network must take precedence. After all, if the network goes down, so does the business.

The Latest

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ...