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High-Profile IT Outages Set Alarm Bells Ringing in Boardrooms Around the World

Gregg Ostrowski
AppDynamics

In a world where digital services have become a critical part of how we go about our daily lives, the risk of undergoing an outage has become even more significant. Outages can range in severity and impact companies of every size — while outages from larger companies in the social media space or a cloud provider tend to receive a lot of coverage, application downtime from even the most targeted companies can disrupt users' personal and business operations.

In addition to putting more pressure on the IT teams to resolve the issue, the company can also be at risk to lose revenue and customer loyalty. For many technologists, these outages have served as a reminder of how these types of firestorms can ignite in a flash and intensify the difficulties of getting them back under control.

Consumer expectations around reliability and performance for digital services have soared over the last 18 months, and most of us now have zero tolerance for anything less than the very best digital experiences. The moment we encounter a performance issue, we immediately switch to an alternative provider, and in some cases, we refuse to return. While Meta will undoubtedly recover from its recent troubles, the reputational and financial cost of any kind of outage could be crippling for some businesses.

In the wake of these recent events, Cisco AppDynamics conducted a global pulse survey of 1,000 IT decision makers (across 11 countries) to gauge whether these types of high-profile outages have caused increased concerns about digital disruption within their own organizations and about the adequacy of the measures they have in place to mitigate against this risk.

The findings give a fascinating insight into the challenges facing enterprise technologists in today's current environment. Not only did 87% admit that they are concerned about the potential for a major outage and the resulting disruption to their applications and digital services, but as many as 84% reported that they are coming under increasing pressure from their organization's leadership to proactively prevent a major performance issue or outage.

With stakes rising ever higher, the IT department has become a pressure cooker within many organizations. I know from my own time as VP of enterprise services that the burden to keep applications and digital services up and running at all times can be all consuming for a technologist.

What's now making this situation even more challenging is that technologists are having to look after an ever more complex IT estate. All while quickly rolling out new features ensuring an intuitive interface and always available service in which the user simply wants it to work when they want it. Requiring businesses to innovate at breakneck speed during the pandemic in order to meet dramatically changing customer and employee needs. And this has necessitated rapid digital transformation and a seismic shift towards cloud computing over the last 18 months. The unwanted side effect of this is massive technology sprawl, with IT departments now managing a vast patchwork of legacy and cloud technologies.

For technologists tasked with optimizing IT performance, things have become much more difficult. 87% of those we polled said the increasing complexity of their IT stack is causing long delays in identifying the root cause of performance issues. They simply can't cut through the complexity and overwhelming volumes of data to quickly and accurately identify issues before they impact the end user.

High profile outages like those we've seen over the last couple of weeks are a stark reminder for many technologists of the urgent need to address this problem before their worst fears come to fruition.

Encouragingly, our survey suggests that most technologists are taking steps to ensure they have the tools and insights they need to manage IT performance. 97% of IT teams currently have some form of monitoring tools in place, many of which provide highly sophisticated and advanced solutions to identifying and fixing anomalies.

The problem is that many technologists doubt the effectiveness of their current monitoring tools in this new world of spiraling IT complexity — only a quarter (27%) claim to be totally confident that these tools meet their growing needs. Indeed, these concerns are fully justified — many traditional monitoring tools still don't provide a unified view of IT performance up and down the IT stack and very few are able to effectively monitor legacy, hybrid and cloud environments.

Technologists are acutely aware they urgently need a newer approach to managing IT performance. In fact, almost three quarters (72%) believe their organization needs to deploy a full-stack observability solution within the next 12 months to enable them to solve complexity across their IT stack and to easily identify and fix the root causes of performance issues.

With full-stack observability in place, technologists can get unified, real-time visibility into IT performance up and down the IT stack, from customer-facing applications right through to core infrastructure, such as compute, storage, network and public internet and inter-services' dependencies. It also means that technologists can quickly identify causes and locations of incidents and sub-performance, rather than be on the back foot, spending valuable time trying to understand an issue.

But even with full-stack observability in place, technologists can still struggle to pinpoint those issues that really could cause serious damage. They're bombarded with a deluge of IT performance data from across their IT infrastructure and it's very difficult to cut through it to know what really matters most.

This is why having a business lens on IT performance is so important. It allows technologists to immediately identify the issues that could have the biggest impact on customers and the business and be confident knowing that they are focusing their energy in exactly the right places.

By connecting full-stack observability with real-time business metrics, technologists can optimize IT performance at all times and ensure they're able to meet the heightened expectations of today's consumers. And hopefully it means they can sleep more soundly at night!

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

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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 ...

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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 ...

High-Profile IT Outages Set Alarm Bells Ringing in Boardrooms Around the World

Gregg Ostrowski
AppDynamics

In a world where digital services have become a critical part of how we go about our daily lives, the risk of undergoing an outage has become even more significant. Outages can range in severity and impact companies of every size — while outages from larger companies in the social media space or a cloud provider tend to receive a lot of coverage, application downtime from even the most targeted companies can disrupt users' personal and business operations.

In addition to putting more pressure on the IT teams to resolve the issue, the company can also be at risk to lose revenue and customer loyalty. For many technologists, these outages have served as a reminder of how these types of firestorms can ignite in a flash and intensify the difficulties of getting them back under control.

Consumer expectations around reliability and performance for digital services have soared over the last 18 months, and most of us now have zero tolerance for anything less than the very best digital experiences. The moment we encounter a performance issue, we immediately switch to an alternative provider, and in some cases, we refuse to return. While Meta will undoubtedly recover from its recent troubles, the reputational and financial cost of any kind of outage could be crippling for some businesses.

In the wake of these recent events, Cisco AppDynamics conducted a global pulse survey of 1,000 IT decision makers (across 11 countries) to gauge whether these types of high-profile outages have caused increased concerns about digital disruption within their own organizations and about the adequacy of the measures they have in place to mitigate against this risk.

The findings give a fascinating insight into the challenges facing enterprise technologists in today's current environment. Not only did 87% admit that they are concerned about the potential for a major outage and the resulting disruption to their applications and digital services, but as many as 84% reported that they are coming under increasing pressure from their organization's leadership to proactively prevent a major performance issue or outage.

With stakes rising ever higher, the IT department has become a pressure cooker within many organizations. I know from my own time as VP of enterprise services that the burden to keep applications and digital services up and running at all times can be all consuming for a technologist.

What's now making this situation even more challenging is that technologists are having to look after an ever more complex IT estate. All while quickly rolling out new features ensuring an intuitive interface and always available service in which the user simply wants it to work when they want it. Requiring businesses to innovate at breakneck speed during the pandemic in order to meet dramatically changing customer and employee needs. And this has necessitated rapid digital transformation and a seismic shift towards cloud computing over the last 18 months. The unwanted side effect of this is massive technology sprawl, with IT departments now managing a vast patchwork of legacy and cloud technologies.

For technologists tasked with optimizing IT performance, things have become much more difficult. 87% of those we polled said the increasing complexity of their IT stack is causing long delays in identifying the root cause of performance issues. They simply can't cut through the complexity and overwhelming volumes of data to quickly and accurately identify issues before they impact the end user.

High profile outages like those we've seen over the last couple of weeks are a stark reminder for many technologists of the urgent need to address this problem before their worst fears come to fruition.

Encouragingly, our survey suggests that most technologists are taking steps to ensure they have the tools and insights they need to manage IT performance. 97% of IT teams currently have some form of monitoring tools in place, many of which provide highly sophisticated and advanced solutions to identifying and fixing anomalies.

The problem is that many technologists doubt the effectiveness of their current monitoring tools in this new world of spiraling IT complexity — only a quarter (27%) claim to be totally confident that these tools meet their growing needs. Indeed, these concerns are fully justified — many traditional monitoring tools still don't provide a unified view of IT performance up and down the IT stack and very few are able to effectively monitor legacy, hybrid and cloud environments.

Technologists are acutely aware they urgently need a newer approach to managing IT performance. In fact, almost three quarters (72%) believe their organization needs to deploy a full-stack observability solution within the next 12 months to enable them to solve complexity across their IT stack and to easily identify and fix the root causes of performance issues.

With full-stack observability in place, technologists can get unified, real-time visibility into IT performance up and down the IT stack, from customer-facing applications right through to core infrastructure, such as compute, storage, network and public internet and inter-services' dependencies. It also means that technologists can quickly identify causes and locations of incidents and sub-performance, rather than be on the back foot, spending valuable time trying to understand an issue.

But even with full-stack observability in place, technologists can still struggle to pinpoint those issues that really could cause serious damage. They're bombarded with a deluge of IT performance data from across their IT infrastructure and it's very difficult to cut through it to know what really matters most.

This is why having a business lens on IT performance is so important. It allows technologists to immediately identify the issues that could have the biggest impact on customers and the business and be confident knowing that they are focusing their energy in exactly the right places.

By connecting full-stack observability with real-time business metrics, technologists can optimize IT performance at all times and ensure they're able to meet the heightened expectations of today's consumers. And hopefully it means they can sleep more soundly at night!

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

Hot Topics

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 ...