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Internet Outages Cost Companies Upwards of $10 Million per Month

97% of companies assert a reliable, resilient Internet Stack is of utmost importance to their business success

Almost all (97%) of respondents state that a reliable, resilient Internet Stack is of the utmost importance to their business success, according to Catchpoint's inaugural Internet Resilience Report.

CEOs and company boards are prioritizing Internet resilience as a critical factor in maintaining and enhancing business operations. The Internet's complexity and its vital role in connecting businesses and customers necessitate a holistic resilience strategy. Companies rely on the Internet for connectivity and digital experiences, and outages can add up to many millions of dollars, making the need for Internet Resilience a board-level discussion. In 2024, any business, whether involved in eCommerce or operating with a distributed or remote workforce, must ensure strong Internet resilience.

Based on insights gathered from 310 digital business leaders, key findings from the new report revealed: 

■ 78% identify improved customer experience as the primary driver for resilience programs. 

■ 77% highlight the critical role of third-party technology providers in their Internet resilience strategies. 

■ 43% estimate a total economic impact or loss of more than $1 million monthly due to Internet outages or degradations and some Internet outages cost some companies upward of $10 million a month. 

■ 40% cite talent and skillset as a major barrier to implementing IPM. 

"Our findings highlight the criticality of Internet Resilience in our always-on, digital-first world," said Mehdi Daoudi, CEO of Catchpoint. "Businesses must expand their observability boundaries beyond Application Performance Monitoring to include Internet Performance Monitoring. This is the best way to proactively address issues impacting operations as it is the only way to get real-time insights and ensure superior performance that can reduce risks to both reputation and revenue."
 

Catchpoint's report provides actionable insights for businesses to enhance their Internet Resilience, and their top suggestions include:

Think about Resilience from the Top Down

Leaders must incorporate Internet resilience into their strategic plans and daily operations to instill an effective, long-term culture of resilience. This includes the implementation of a new role, that of chief reliability or chief resilience officer to the C-suites, something Fortune 2000 companies are increasingly doing.

Align Internally

Break down organizational silos and foster collaboration between IT and business teams to ensure alignment and a focused, constructive response to outages.

Implement Internet Performance Monitoring

Utilize objective, independent IPM data to settle disputes and remove emotion from the equation, while setting Service Level Objectives (SLOs) to guide actions during incidents. The longer mean time to repair (MTTR) takes, the more the risk of payouts and other ramifications increases, including the threat of decreased customer loyalty — be sure to equip your ITOps team with the tools they need to continue to succeed. As the Internet continues to be an indispensable resource for businesses, ensuring its resilience is paramount. 

"Internet resilience should be a critical part of your overall Disaster Recovery / Business Continuity program," said Pete Charlton, IT Vice President, TMNAS. "Ultimately the CIO/CTO is accountable for the organization's digital resilience, but these are not just technology problems. Resilience and business continuity are in fact overall organizational issues that need to be discussed at the organization's highest levels and tested as frequently as possible. Obviously, you cannot simulate every possible outage, but if the past few years have taught us anything, it is that you need to plan for the unexpected."

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Internet Outages Cost Companies Upwards of $10 Million per Month

97% of companies assert a reliable, resilient Internet Stack is of utmost importance to their business success

Almost all (97%) of respondents state that a reliable, resilient Internet Stack is of the utmost importance to their business success, according to Catchpoint's inaugural Internet Resilience Report.

CEOs and company boards are prioritizing Internet resilience as a critical factor in maintaining and enhancing business operations. The Internet's complexity and its vital role in connecting businesses and customers necessitate a holistic resilience strategy. Companies rely on the Internet for connectivity and digital experiences, and outages can add up to many millions of dollars, making the need for Internet Resilience a board-level discussion. In 2024, any business, whether involved in eCommerce or operating with a distributed or remote workforce, must ensure strong Internet resilience.

Based on insights gathered from 310 digital business leaders, key findings from the new report revealed: 

■ 78% identify improved customer experience as the primary driver for resilience programs. 

■ 77% highlight the critical role of third-party technology providers in their Internet resilience strategies. 

■ 43% estimate a total economic impact or loss of more than $1 million monthly due to Internet outages or degradations and some Internet outages cost some companies upward of $10 million a month. 

■ 40% cite talent and skillset as a major barrier to implementing IPM. 

"Our findings highlight the criticality of Internet Resilience in our always-on, digital-first world," said Mehdi Daoudi, CEO of Catchpoint. "Businesses must expand their observability boundaries beyond Application Performance Monitoring to include Internet Performance Monitoring. This is the best way to proactively address issues impacting operations as it is the only way to get real-time insights and ensure superior performance that can reduce risks to both reputation and revenue."
 

Catchpoint's report provides actionable insights for businesses to enhance their Internet Resilience, and their top suggestions include:

Think about Resilience from the Top Down

Leaders must incorporate Internet resilience into their strategic plans and daily operations to instill an effective, long-term culture of resilience. This includes the implementation of a new role, that of chief reliability or chief resilience officer to the C-suites, something Fortune 2000 companies are increasingly doing.

Align Internally

Break down organizational silos and foster collaboration between IT and business teams to ensure alignment and a focused, constructive response to outages.

Implement Internet Performance Monitoring

Utilize objective, independent IPM data to settle disputes and remove emotion from the equation, while setting Service Level Objectives (SLOs) to guide actions during incidents. The longer mean time to repair (MTTR) takes, the more the risk of payouts and other ramifications increases, including the threat of decreased customer loyalty — be sure to equip your ITOps team with the tools they need to continue to succeed. As the Internet continues to be an indispensable resource for businesses, ensuring its resilience is paramount. 

"Internet resilience should be a critical part of your overall Disaster Recovery / Business Continuity program," said Pete Charlton, IT Vice President, TMNAS. "Ultimately the CIO/CTO is accountable for the organization's digital resilience, but these are not just technology problems. Resilience and business continuity are in fact overall organizational issues that need to be discussed at the organization's highest levels and tested as frequently as possible. Obviously, you cannot simulate every possible outage, but if the past few years have taught us anything, it is that you need to plan for the unexpected."

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...