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

Jeremy Rossbach
Broadcom

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.

Jeremy Rossbach is Chief Technical Evangelist - Network Observability at Broadcom

The Latest

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 ...

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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 ...

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

Jeremy Rossbach
Broadcom

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.

Jeremy Rossbach is Chief Technical Evangelist - Network Observability at Broadcom

The Latest

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 ...