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The Changing Face of Network Downtime

Vess Bakalov

Our connected world continues to transform into a mobile one. The network is a constant and fascinating companion, which grants us 24/7 access where communication is instant and takes place across an array of devices, unconstrained by physical barriers. As a result, the IT infrastructure is more critical than ever for business operations. Companies and organizations are calling upon a variety of technologies that are changing the face of today’s network — from mobile devices, to cloud services, to web-based applications.

And the strain on the network is not expected to decrease. In fact, Cisco reports that in two years, the number of devices connected to IP networks will be nearly three times that of the global population. At the same time, network management and performance challenges are also on the rise. The explosion of mobile, cloud and web-based apps make it difficult to determine where in today’s evolving world, the network begins and where it ends. As a result, service issues and outages are becoming more commonplace, prompting losses in revenue, customer satisfaction and employee productivity. A recent survey from Avaya speaks to the cost of network downtime, addressing the large degree of variance based on the characteristics of a business and environment (i.e., your vertical, risk tolerance, etc.), indicating the range is from $140K to $540K per hour.

Over the past couple of months, we’ve seen high-profile network outages capturing headlines across the US. A large number of service providers were affected by the 512K Day issue – when the Internet routing table grew beyond what many legacy routers were designed to handle. Then, in August more than 11 million Time Warner Cable (TWC) subscribers across 29 states lost service for about three hours, and just a week later, Facebook suffered its fourth outage over the past five months. Unavailability in two of the three previously mentioned cases was blamed on configuration glitches and as a result, quickly resolved.

The Most Important Word for Every Network: Availability

But why do network outages seem to be popping up more frequently, affecting more people? It’s really a question of perception – more people are consuming more services and everyone expects to be connected around the clock, around the world, using any device.

In a blog post earlier this summer, Andrew Lerner, a Research Director for Gartner, zeroed in on the most important word associated with every network: availability. As he notes, “Performance, scalability, management, agility, etc. all require the network to actually be online.”

Unfortunately, availability is assumed to be table stakes to most companies. I am not sure I agree with him entirely. Availability is table stakes. However, modern infrastructure — especially in service providers — is massively redundant. Pure availability is rarely the problem. More often service outages are due to poor capacity planning, spurious events or changes that bring unanticipated consequences (like Pakistan inadvertently re-routing all YouTube traffic).

For smaller businesses in particular, unavailability of core services not only represents a loss of control and a loss of earnings, but also potentially a lesson in reputational damage. Without network performance management solutions, businesses are unnecessarily exposing themselves to risk. Technology should be detecting and even preventing outages automatically, without the need for manual intervention. Technical staff cannot be expected to continually gather and analyze data that might indicate an impending outage, nor can they be expected to act quickly enough to stave off an incident. While the likes of TWC and Facebook can rapidly recover from disruptive infrastructure issues, smaller organizations can’t, and that is why they must take steps to protect themselves.

Reacting to performance thresholds is not enough. To ensure a company’s network is available 24/7, it’s critical to predict problems before they become service impacting. The deployment of solutions that log data and provide real-time analytics on large volumes of unstructured data are crucial to every IT department. These solutions provide IT organizations the opportunity to gain better insight into the behavior of users, customers, applications and networks, allowing businesses to spot issues before they happen – significantly reducing, or in some cases, eliminating downtime altogether.

Vess Bakalov is SVP, CTO and Co-Founder of SevOne.

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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 ...

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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 ...

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 ...

The Changing Face of Network Downtime

Vess Bakalov

Our connected world continues to transform into a mobile one. The network is a constant and fascinating companion, which grants us 24/7 access where communication is instant and takes place across an array of devices, unconstrained by physical barriers. As a result, the IT infrastructure is more critical than ever for business operations. Companies and organizations are calling upon a variety of technologies that are changing the face of today’s network — from mobile devices, to cloud services, to web-based applications.

And the strain on the network is not expected to decrease. In fact, Cisco reports that in two years, the number of devices connected to IP networks will be nearly three times that of the global population. At the same time, network management and performance challenges are also on the rise. The explosion of mobile, cloud and web-based apps make it difficult to determine where in today’s evolving world, the network begins and where it ends. As a result, service issues and outages are becoming more commonplace, prompting losses in revenue, customer satisfaction and employee productivity. A recent survey from Avaya speaks to the cost of network downtime, addressing the large degree of variance based on the characteristics of a business and environment (i.e., your vertical, risk tolerance, etc.), indicating the range is from $140K to $540K per hour.

Over the past couple of months, we’ve seen high-profile network outages capturing headlines across the US. A large number of service providers were affected by the 512K Day issue – when the Internet routing table grew beyond what many legacy routers were designed to handle. Then, in August more than 11 million Time Warner Cable (TWC) subscribers across 29 states lost service for about three hours, and just a week later, Facebook suffered its fourth outage over the past five months. Unavailability in two of the three previously mentioned cases was blamed on configuration glitches and as a result, quickly resolved.

The Most Important Word for Every Network: Availability

But why do network outages seem to be popping up more frequently, affecting more people? It’s really a question of perception – more people are consuming more services and everyone expects to be connected around the clock, around the world, using any device.

In a blog post earlier this summer, Andrew Lerner, a Research Director for Gartner, zeroed in on the most important word associated with every network: availability. As he notes, “Performance, scalability, management, agility, etc. all require the network to actually be online.”

Unfortunately, availability is assumed to be table stakes to most companies. I am not sure I agree with him entirely. Availability is table stakes. However, modern infrastructure — especially in service providers — is massively redundant. Pure availability is rarely the problem. More often service outages are due to poor capacity planning, spurious events or changes that bring unanticipated consequences (like Pakistan inadvertently re-routing all YouTube traffic).

For smaller businesses in particular, unavailability of core services not only represents a loss of control and a loss of earnings, but also potentially a lesson in reputational damage. Without network performance management solutions, businesses are unnecessarily exposing themselves to risk. Technology should be detecting and even preventing outages automatically, without the need for manual intervention. Technical staff cannot be expected to continually gather and analyze data that might indicate an impending outage, nor can they be expected to act quickly enough to stave off an incident. While the likes of TWC and Facebook can rapidly recover from disruptive infrastructure issues, smaller organizations can’t, and that is why they must take steps to protect themselves.

Reacting to performance thresholds is not enough. To ensure a company’s network is available 24/7, it’s critical to predict problems before they become service impacting. The deployment of solutions that log data and provide real-time analytics on large volumes of unstructured data are crucial to every IT department. These solutions provide IT organizations the opportunity to gain better insight into the behavior of users, customers, applications and networks, allowing businesses to spot issues before they happen – significantly reducing, or in some cases, eliminating downtime altogether.

Vess Bakalov is SVP, CTO and Co-Founder of SevOne.

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 ...