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Do You Know What Network Brownouts Are Costing You, and What You Need to Do About It?

Sergio Bea
Accedian

COVID-19 has changed a great deal this year about the way we live and work. Some things, like mass remote working and surging e-commerce sales, will long outlast the pandemic. But this creates a challenge. As businesses increasingly come to rely on high-speed, high performance networks, and the applications that run on top, what happens when brownouts occur?

The past year was all about survival. Now it's time to thrive. That means a renewed focus on network and application performance management to spur the next stage of growth, as we move out of the shadow of the pandemic.


Going Digital

Global business was already transforming digitally well before COVID-19 struck, although in some industries at a faster rate than others. Retail had become an increasingly competitive vertical, with brands under intense pressure to deliver seamless personalized experiences across multiple channels. In fact, the growing influence on online retail and direct-to-consumer brands like Warby Parker and Dollar Shave Club may have hastened the demise of many bricks and mortar stores including Payless ShoeSource, Gymboree and Charlotte Russe.

COVID-19 has accelerated the push to all things digital. Businesses that used to talk about digital strategy in "one- to three-year phases" must now scale-up in just days or weeks, according to McKinsey. A major part of this is about supporting the newly distributed workforce. In April, over half (51%) of Americans said they "always" work remotely.

Under Pressure

Unfortunately, network infrastructure has in many cases been unable to support these surging demands. A poll of over 1,000 IT decision makers in the US we conducted recently revealed that over 40% suffer network brownouts several times a week, while end user complaints about application performance soared by 60% due to performance degradations, excessive slowdowns and network congestion.

Nearly a third (30%) reported problems with SaaS applications like Office 365 and team collaboration tools, which have become a vital means to maintain employee productivity amidst mass remote working. Fast, uninterrupted access to such applications is not only essential, but also expected by home workers today. However, this doesn't tell the whole story. Respondents also highlighted problems with the performance of business-critical databases, streaming services that support webinars and online events, Infrastructure as a Service (IaaS), ERP and finance systems, and customer communication channels.

This is not only a barrier to employee but specifically to IT worker productivity. A fifth of organizations experience brownouts on a daily basis, and more than half spending an average of 2.5 hours resolving a single incident. For many, that means as much as 12.5 hours each week is wasted on network troubleshooting. This is also an issue that goes beyond staff productivity to the very heart of business performance. If you can't access and use critical databases, IT infrastructure in the public cloud and enterprise software, or interact with customers in a timely manner, everything starts to fall apart.

What's the Problem?

Nearly half (47%) of the organizations we polled blame network connectivity providers for these brownouts, as well as maintenance and upgrades (43%) and unexpected traffic increases (43%). A broader problem is that IT and network teams simply don't have visibility into performance. We found that over a quarter of network brownouts are not even discovered by IT or NetOps, but are instead found and reported by users or customers. That means problems aren't being addressed early on, before they can escalate. They have already become acute enough that end users are starting to notice.

That's bad news not only for staff productivity and satisfaction, but also your brand reputation. Both can have a serious knock-on effect on the bottom line. So where should IT and NetOps leaders turn?

Getting Proactive

Active monitoring can certainly help to resolve the top three issues highlighted by IT leaders as causing brownouts. It means that you're proactively monitoring service quality rather than waiting for others to inform you when performance degradations get out of hand. By getting hold of independent performance data, organizations can enforce the relevant SLAs with their broadband provider and ensure they're getting the bandwidth they're paying for. Also consider running service activation tests and high-definition network testing after any upgrade or changes, to further minimize the chances of disruption down the line.

Any third-party technology suppliers serving your organization must also have access to the right tools to anticipate and tackle brownouts.

As we emerge from COVID-19, life for many of us will return to a pre-pandemic normal. But in many other ways it will be forever changed — 72% of office workers want to work remotely going forward, for example. This will require a closer focus on performance management, to ensure your IT and network services are ready for a new cloud- and digital-first era.

Sergio Bea is VP Global Enterprise and Channels at Accedian

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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 ...

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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 ...

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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 ...

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Do You Know What Network Brownouts Are Costing You, and What You Need to Do About It?

Sergio Bea
Accedian

COVID-19 has changed a great deal this year about the way we live and work. Some things, like mass remote working and surging e-commerce sales, will long outlast the pandemic. But this creates a challenge. As businesses increasingly come to rely on high-speed, high performance networks, and the applications that run on top, what happens when brownouts occur?

The past year was all about survival. Now it's time to thrive. That means a renewed focus on network and application performance management to spur the next stage of growth, as we move out of the shadow of the pandemic.


Going Digital

Global business was already transforming digitally well before COVID-19 struck, although in some industries at a faster rate than others. Retail had become an increasingly competitive vertical, with brands under intense pressure to deliver seamless personalized experiences across multiple channels. In fact, the growing influence on online retail and direct-to-consumer brands like Warby Parker and Dollar Shave Club may have hastened the demise of many bricks and mortar stores including Payless ShoeSource, Gymboree and Charlotte Russe.

COVID-19 has accelerated the push to all things digital. Businesses that used to talk about digital strategy in "one- to three-year phases" must now scale-up in just days or weeks, according to McKinsey. A major part of this is about supporting the newly distributed workforce. In April, over half (51%) of Americans said they "always" work remotely.

Under Pressure

Unfortunately, network infrastructure has in many cases been unable to support these surging demands. A poll of over 1,000 IT decision makers in the US we conducted recently revealed that over 40% suffer network brownouts several times a week, while end user complaints about application performance soared by 60% due to performance degradations, excessive slowdowns and network congestion.

Nearly a third (30%) reported problems with SaaS applications like Office 365 and team collaboration tools, which have become a vital means to maintain employee productivity amidst mass remote working. Fast, uninterrupted access to such applications is not only essential, but also expected by home workers today. However, this doesn't tell the whole story. Respondents also highlighted problems with the performance of business-critical databases, streaming services that support webinars and online events, Infrastructure as a Service (IaaS), ERP and finance systems, and customer communication channels.

This is not only a barrier to employee but specifically to IT worker productivity. A fifth of organizations experience brownouts on a daily basis, and more than half spending an average of 2.5 hours resolving a single incident. For many, that means as much as 12.5 hours each week is wasted on network troubleshooting. This is also an issue that goes beyond staff productivity to the very heart of business performance. If you can't access and use critical databases, IT infrastructure in the public cloud and enterprise software, or interact with customers in a timely manner, everything starts to fall apart.

What's the Problem?

Nearly half (47%) of the organizations we polled blame network connectivity providers for these brownouts, as well as maintenance and upgrades (43%) and unexpected traffic increases (43%). A broader problem is that IT and network teams simply don't have visibility into performance. We found that over a quarter of network brownouts are not even discovered by IT or NetOps, but are instead found and reported by users or customers. That means problems aren't being addressed early on, before they can escalate. They have already become acute enough that end users are starting to notice.

That's bad news not only for staff productivity and satisfaction, but also your brand reputation. Both can have a serious knock-on effect on the bottom line. So where should IT and NetOps leaders turn?

Getting Proactive

Active monitoring can certainly help to resolve the top three issues highlighted by IT leaders as causing brownouts. It means that you're proactively monitoring service quality rather than waiting for others to inform you when performance degradations get out of hand. By getting hold of independent performance data, organizations can enforce the relevant SLAs with their broadband provider and ensure they're getting the bandwidth they're paying for. Also consider running service activation tests and high-definition network testing after any upgrade or changes, to further minimize the chances of disruption down the line.

Any third-party technology suppliers serving your organization must also have access to the right tools to anticipate and tackle brownouts.

As we emerge from COVID-19, life for many of us will return to a pre-pandemic normal. But in many other ways it will be forever changed — 72% of office workers want to work remotely going forward, for example. This will require a closer focus on performance management, to ensure your IT and network services are ready for a new cloud- and digital-first era.

Sergio Bea is VP Global Enterprise and Channels at Accedian

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 ...