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Down Goes the Internet (Again) – Part One: Are You Ready?

What is the cost of downtime? The answer obviously depends on various factors such as the size of an organization, the industry, the duration of the outage and the number of people impacted. To provide a ballpark, though, the Uptime Institute Symposium estimates an average cost of $5,600 per minute.

And it's not all about dollars and cents. Reputation, customer retention, employee satisfaction and overall confidence can be shaken by even a short outage.

For these reasons, media are drawn to outage stories like passers-by of a major roadside accident. Recently, a spate of high-profile outages has once again captured headlines around the world:

- On August 14, the New York Times website experienced a two-hour failure, in which the newspaper had to resort to publishing articles on its Facebook page.

- On the same day, Microsoft customers began reporting email failures en masse. The outage was traced to problems with the Exchange ActiveSync service which serves email to many of the world's smartphones. When Exchange hit a glitch, the volume of phones trying to connect triggered a tsunami of traffic that took three days to get under control.

- On August 22, a software bug and other technology issues brought the NASDAQ stock exchange to a standstill. For approximately three hours, trading was halted for Apple, Google and Facebook and others of this ilk. Because other exchanges rely on NASDAQ's pricing, the fault had a ripple effect that seriously undermined market confidence. This grim fallout resulted in a third fewer shares being traded in the US on that day.

- On August 23, Apple's iCloud service, which helps connect iPhones, iPads and other Apple devices to key services, went down for more than six hours. While Apple claimed that the outage impacted less than one percent of iCloud customers, the sheer size of this user base – 300 million users – translated to approximately three million users being disconnected from services for 11 hours.

- On August 26, an Amazon EC2 outage rocked Instagram, Vine, Netflix and several other major customers of this cloud service, inflicting unplanned downtime across all of them. Last year, a similar Amazon EC2 outage caused Netflix to go down on Christmas day, a busy time for the video streaming service. This occurred in spite of the fact that Amazon had just upgraded their servers to make them less likely to collapse.

In response to these events, industry experts have sounded their alarm and issued a stark warning: we are over-reliant on a digital infrastructure that has become far too complex and exceeds our limits of control.

From high volume securities trading to the explosion in social media and the online consumption of entertainment, the amount of data being carried globally over private networks, such as stock exchanges, and the public internet is placing unprecedented strain on websites and the networks that connect them. According to recent statistics from Cisco, by 2017, the amount of data equivalent to all the films ever produced will be transmitted over the internet in just three minutes.

With these trends showing no signs of abating, we can expect widespread service outages and performance degradations to continue. Knowing this, many organizations go into overdrive as they attempt to improve their resiliency and ensure strong performance levels. But like an auto-immune disease, the addition of processes and technologies can actually have the adverse effect of increasing complexity and risk, by introducing new points of failure.

What is Causing Today's Massive Ripple Effect?

Today, businesses are hosting less and less of what gets delivered on their websites, instead relying on a growing number of externally hosted (third party) web elements to enrich their web properties. These third party internet services are also called web services, and when a major web service goes down, it often takes a portion of the internet with it.

As an example, on August 16, several of Google's websites including email, YouTube and its core search engine suffered a rare four-minute global meltdown. The episode, the cause of which Google has not explained publicly, served to illustrate the staggering volume of global internet traffic served by Google. During the outage, one monitor put the drop in global internet traffic at 40 percent – reinforcing the concept that when major web services fail, they tend to fail spectacularly.

It's certainly true that in recent years, businesses have dramatically increased their use of cloud services. According to Verizon's State of the Enterprise Cloud Report, enterprise use of cloud technology grew by 90 percent between January 2012 and June 2013.

Put another way, to stay competitive, companies have no choice but to provide the best online experience to their online customers and shoppers. That means they must provide the ability to watch a product video, use a coupon, subscribe for a promotion, read customer reviews, share with their friends on Facebook or Twitter, select products and pay for them to be delivered within a defined timeframe. All of this constitutes a lot of minor services. In theory, these functionalities could be developed, hosted and maintained in house, but the cost associated with hardware, software, development, support and maintenance often does not make economic sense.

In the meantime, startups who saw the business opportunity have developed externally hosted packaged solutions for the very functionalities companies wish to offer. The trend is to contract more of these specialized third party service providers, which often results in a company becoming a cloud customer indirectly, without their even knowing it!

Today, a North American website has somewhere between 9 and 13 third party web services contributing to a typical web transaction, according to May 2013 data provided by Compuware's Outage Analyzer. If any one of these third party services slows down or fails, performance for an entire web page, mobile site or application can degrade substantially, wreaking havoc on a company's reputation and revenues.

Third party performance issues occur more frequently than one might think. As an example, Outage Analyzer recently collated data for the six months between March 1 and August 31, 2013 and found 6,217 total outages which included:

- 1,500 full service outages – an average of 125 per month or about four daily – where the entire web service was unavailable in all geographies.

- 4,717 partial service outages – an average of 393 per month or about 13 daily – where only certain geographies or a limited number of user transactions were affected. While full service outages get the most attention, a partial service outage is more likely to occur and affect a limited number of individual web and mobile transactions, while leaving others completely untouched. But all you need is one disgruntled user logging onto Facebook or Twitter to start spreading viral negativity on your brand.

According to Compuware, there are nearly 1,500 distinct third party services available worldwide. Ad servers and social media plug-ins experience the highest number of outages, while online security services and ad verification experience the fewest number. The longest duration for a web service outage in this tracking period was 4,876 minutes (or 3.3 days) for an ad serving firm on March 21, 2013.

Down Goes the Internet (Again) – Part Two: 4 Strategies to Ensure Website Performance

Klaus Enzenhofer is Technology Strategist for Compuware APM’s Center of Excellence.

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 ...

Down Goes the Internet (Again) – Part One: Are You Ready?

What is the cost of downtime? The answer obviously depends on various factors such as the size of an organization, the industry, the duration of the outage and the number of people impacted. To provide a ballpark, though, the Uptime Institute Symposium estimates an average cost of $5,600 per minute.

And it's not all about dollars and cents. Reputation, customer retention, employee satisfaction and overall confidence can be shaken by even a short outage.

For these reasons, media are drawn to outage stories like passers-by of a major roadside accident. Recently, a spate of high-profile outages has once again captured headlines around the world:

- On August 14, the New York Times website experienced a two-hour failure, in which the newspaper had to resort to publishing articles on its Facebook page.

- On the same day, Microsoft customers began reporting email failures en masse. The outage was traced to problems with the Exchange ActiveSync service which serves email to many of the world's smartphones. When Exchange hit a glitch, the volume of phones trying to connect triggered a tsunami of traffic that took three days to get under control.

- On August 22, a software bug and other technology issues brought the NASDAQ stock exchange to a standstill. For approximately three hours, trading was halted for Apple, Google and Facebook and others of this ilk. Because other exchanges rely on NASDAQ's pricing, the fault had a ripple effect that seriously undermined market confidence. This grim fallout resulted in a third fewer shares being traded in the US on that day.

- On August 23, Apple's iCloud service, which helps connect iPhones, iPads and other Apple devices to key services, went down for more than six hours. While Apple claimed that the outage impacted less than one percent of iCloud customers, the sheer size of this user base – 300 million users – translated to approximately three million users being disconnected from services for 11 hours.

- On August 26, an Amazon EC2 outage rocked Instagram, Vine, Netflix and several other major customers of this cloud service, inflicting unplanned downtime across all of them. Last year, a similar Amazon EC2 outage caused Netflix to go down on Christmas day, a busy time for the video streaming service. This occurred in spite of the fact that Amazon had just upgraded their servers to make them less likely to collapse.

In response to these events, industry experts have sounded their alarm and issued a stark warning: we are over-reliant on a digital infrastructure that has become far too complex and exceeds our limits of control.

From high volume securities trading to the explosion in social media and the online consumption of entertainment, the amount of data being carried globally over private networks, such as stock exchanges, and the public internet is placing unprecedented strain on websites and the networks that connect them. According to recent statistics from Cisco, by 2017, the amount of data equivalent to all the films ever produced will be transmitted over the internet in just three minutes.

With these trends showing no signs of abating, we can expect widespread service outages and performance degradations to continue. Knowing this, many organizations go into overdrive as they attempt to improve their resiliency and ensure strong performance levels. But like an auto-immune disease, the addition of processes and technologies can actually have the adverse effect of increasing complexity and risk, by introducing new points of failure.

What is Causing Today's Massive Ripple Effect?

Today, businesses are hosting less and less of what gets delivered on their websites, instead relying on a growing number of externally hosted (third party) web elements to enrich their web properties. These third party internet services are also called web services, and when a major web service goes down, it often takes a portion of the internet with it.

As an example, on August 16, several of Google's websites including email, YouTube and its core search engine suffered a rare four-minute global meltdown. The episode, the cause of which Google has not explained publicly, served to illustrate the staggering volume of global internet traffic served by Google. During the outage, one monitor put the drop in global internet traffic at 40 percent – reinforcing the concept that when major web services fail, they tend to fail spectacularly.

It's certainly true that in recent years, businesses have dramatically increased their use of cloud services. According to Verizon's State of the Enterprise Cloud Report, enterprise use of cloud technology grew by 90 percent between January 2012 and June 2013.

Put another way, to stay competitive, companies have no choice but to provide the best online experience to their online customers and shoppers. That means they must provide the ability to watch a product video, use a coupon, subscribe for a promotion, read customer reviews, share with their friends on Facebook or Twitter, select products and pay for them to be delivered within a defined timeframe. All of this constitutes a lot of minor services. In theory, these functionalities could be developed, hosted and maintained in house, but the cost associated with hardware, software, development, support and maintenance often does not make economic sense.

In the meantime, startups who saw the business opportunity have developed externally hosted packaged solutions for the very functionalities companies wish to offer. The trend is to contract more of these specialized third party service providers, which often results in a company becoming a cloud customer indirectly, without their even knowing it!

Today, a North American website has somewhere between 9 and 13 third party web services contributing to a typical web transaction, according to May 2013 data provided by Compuware's Outage Analyzer. If any one of these third party services slows down or fails, performance for an entire web page, mobile site or application can degrade substantially, wreaking havoc on a company's reputation and revenues.

Third party performance issues occur more frequently than one might think. As an example, Outage Analyzer recently collated data for the six months between March 1 and August 31, 2013 and found 6,217 total outages which included:

- 1,500 full service outages – an average of 125 per month or about four daily – where the entire web service was unavailable in all geographies.

- 4,717 partial service outages – an average of 393 per month or about 13 daily – where only certain geographies or a limited number of user transactions were affected. While full service outages get the most attention, a partial service outage is more likely to occur and affect a limited number of individual web and mobile transactions, while leaving others completely untouched. But all you need is one disgruntled user logging onto Facebook or Twitter to start spreading viral negativity on your brand.

According to Compuware, there are nearly 1,500 distinct third party services available worldwide. Ad servers and social media plug-ins experience the highest number of outages, while online security services and ad verification experience the fewest number. The longest duration for a web service outage in this tracking period was 4,876 minutes (or 3.3 days) for an ad serving firm on March 21, 2013.

Down Goes the Internet (Again) – Part Two: 4 Strategies to Ensure Website Performance

Klaus Enzenhofer is Technology Strategist for Compuware APM’s Center of Excellence.

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 ...