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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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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.

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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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As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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