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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.

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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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 ...