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The Leading Causes of IT Outages - and How to Prevent Them

Mark Banfield
LogicMonitor

IT outages happen to companies across the globe, regardless of location, annual revenue or size. Even the most mammoth companies are at risk of downtime. Increasingly over the past few years, high-profile IT outages — defined as when the services or systems a business provides suddenly become unavailable — have ended up splashed across national news headlines.

In March 2019, Facebook and Instagram each experienced 14 hours of downtime. A second IT outage struck both — along with WhatsApp — in April 2019, taking all three platforms offline. And in July 2019, all three platforms experienced availability problems that impacted users. British Airways has also faced a series of high-profile IT outages in the past, including one in April that resulted in 100 canceled flights and 200 delayed flights. An outage back in May 2017 also affected more than 1,000 flights, call centers, BA's website and BA's mobile app.

Given all of these recent disruptive and costly outages, LogicMonitor decided to investigate the causes behind downtime, commissioning an independent study investigating the major causes of downtime, the business impact of outages on organizations, and ways to avoid IT outages and brownouts. The IT Outage Impact Study involved surveying 300 IT decision-makers across the United States, Canada, the United Kingdom, Australia and New Zealand.

Outages Lead to Compliance Failures and High Costs

The number one and number two issues were concerns about performance and availability

Among other insights, the survey revealed the top 5 issues keeping IT decision makers up at night. The number one and number two issues were concerns about performance and availability, beating out security and cost-effectiveness worries.

Unfortunately, those self-reported fears about IT teams' ability to maintain availability are well-founded. In fact, 96% of global survey respondents reported that their organizations had suffered at least one IT outage over the past three years. Such outages can have serious implications, including steep costs and low customer satisfaction scores. Heavily regulated industries, such as healthcare and finance, face another dire consequence beyond service disruptions and costs as a result of outages: compliance failure.

"One of our clients is a radiology company, and they need to be up 24/7," said a service desk support engineer for a solution provider. "If they have more than an hour of downtime a year, probably less than that, that's a serious issue. These guys can never go down, for legal reasons."


Human Error is #1 Cause of IT Outages in the US and Canada

The study found that human error was the #1 cause of IT outages in the United States and Canada, and the #3 cause globally. Given this finding, it was no surprise that Network World covered the story of British Airways' May 2017 outage under the headline, "British Airways' outage, like most data center outages, was caused by humans."

The Network World article describes how an engineer working onsite at a data center near the Heathrow airport disconnected a power supply. When the power supply was reconnected, a surge of power caused the outage. The article also cites a 2016 Ponemon Institute study, which found that human error accounted for 11 percent of outages, more than weather (10%), generator failures (6%) or IT equipment malfunction (4%).

Faced with findings like this, it's no wonder that global IT decision makers said 51% of IT outages are avoidable. As a result, more and more teams worldwide are transitioning to monitoring tools that incorporate AIOps and automation to minimize human error and maximize early warning opportunities.

Monitoring Helps Prevent Outages Through Early Warning Systems

Comprehensive monitoring provides visibility into IT infrastructure and can help organizations get ahead of trends that indicate an outage may be rapidly approaching. The top two causes of outages, according to survey respondents, are declining hardware/software performance and IT teams' failure to notice when usage reaches a dangerous level. Artificial intelligence for IT operations (AIOps) and intelligent monitoring offer an effective solution to both of these outage factors.

To minimize your organizations' outage risk, look for monitoring solutions with the following capabilities:

■ A platform that offers a holistic view of your IT systems via a single pane of glass and integrates with all your technologies

■ A tool that builds in a high level of redundancy to eliminate single points of failure

■ A platform that provides early visibility via an early warning system into trends that could indicate future trouble

■ A solution that is able to scale with your business as it grows, making sure your current and future monitoring needs are met.

Mark Banfield is CRO at LogicMonitor

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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 ...

The Leading Causes of IT Outages - and How to Prevent Them

Mark Banfield
LogicMonitor

IT outages happen to companies across the globe, regardless of location, annual revenue or size. Even the most mammoth companies are at risk of downtime. Increasingly over the past few years, high-profile IT outages — defined as when the services or systems a business provides suddenly become unavailable — have ended up splashed across national news headlines.

In March 2019, Facebook and Instagram each experienced 14 hours of downtime. A second IT outage struck both — along with WhatsApp — in April 2019, taking all three platforms offline. And in July 2019, all three platforms experienced availability problems that impacted users. British Airways has also faced a series of high-profile IT outages in the past, including one in April that resulted in 100 canceled flights and 200 delayed flights. An outage back in May 2017 also affected more than 1,000 flights, call centers, BA's website and BA's mobile app.

Given all of these recent disruptive and costly outages, LogicMonitor decided to investigate the causes behind downtime, commissioning an independent study investigating the major causes of downtime, the business impact of outages on organizations, and ways to avoid IT outages and brownouts. The IT Outage Impact Study involved surveying 300 IT decision-makers across the United States, Canada, the United Kingdom, Australia and New Zealand.

Outages Lead to Compliance Failures and High Costs

The number one and number two issues were concerns about performance and availability

Among other insights, the survey revealed the top 5 issues keeping IT decision makers up at night. The number one and number two issues were concerns about performance and availability, beating out security and cost-effectiveness worries.

Unfortunately, those self-reported fears about IT teams' ability to maintain availability are well-founded. In fact, 96% of global survey respondents reported that their organizations had suffered at least one IT outage over the past three years. Such outages can have serious implications, including steep costs and low customer satisfaction scores. Heavily regulated industries, such as healthcare and finance, face another dire consequence beyond service disruptions and costs as a result of outages: compliance failure.

"One of our clients is a radiology company, and they need to be up 24/7," said a service desk support engineer for a solution provider. "If they have more than an hour of downtime a year, probably less than that, that's a serious issue. These guys can never go down, for legal reasons."


Human Error is #1 Cause of IT Outages in the US and Canada

The study found that human error was the #1 cause of IT outages in the United States and Canada, and the #3 cause globally. Given this finding, it was no surprise that Network World covered the story of British Airways' May 2017 outage under the headline, "British Airways' outage, like most data center outages, was caused by humans."

The Network World article describes how an engineer working onsite at a data center near the Heathrow airport disconnected a power supply. When the power supply was reconnected, a surge of power caused the outage. The article also cites a 2016 Ponemon Institute study, which found that human error accounted for 11 percent of outages, more than weather (10%), generator failures (6%) or IT equipment malfunction (4%).

Faced with findings like this, it's no wonder that global IT decision makers said 51% of IT outages are avoidable. As a result, more and more teams worldwide are transitioning to monitoring tools that incorporate AIOps and automation to minimize human error and maximize early warning opportunities.

Monitoring Helps Prevent Outages Through Early Warning Systems

Comprehensive monitoring provides visibility into IT infrastructure and can help organizations get ahead of trends that indicate an outage may be rapidly approaching. The top two causes of outages, according to survey respondents, are declining hardware/software performance and IT teams' failure to notice when usage reaches a dangerous level. Artificial intelligence for IT operations (AIOps) and intelligent monitoring offer an effective solution to both of these outage factors.

To minimize your organizations' outage risk, look for monitoring solutions with the following capabilities:

■ A platform that offers a holistic view of your IT systems via a single pane of glass and integrates with all your technologies

■ A tool that builds in a high level of redundancy to eliminate single points of failure

■ A platform that provides early visibility via an early warning system into trends that could indicate future trouble

■ A solution that is able to scale with your business as it grows, making sure your current and future monitoring needs are met.

Mark Banfield is CRO at LogicMonitor

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 ...