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Diving Into the True Costs of IT Outages

Adam Blau
BigPanda

There are two words that strike fear in every IT professional: "unplanned outage." These come with a steep price tag: A recent report, The Modern IT Outage: Costs, Causes and Cures, found that downtime due to unplanned outages costs businesses $12,900 per minute. Breaking that statistic down further, the report revealed significant differences among companies of different sizes relating to downtime. For example, the outage cost per minute in an organization of 1,000 to 2,500 employees is $1,850, while the outage cost per minute in a larger company of 20,000 employees is $25,402 on average.

These statistics blow away the outdated yet often-quoted statistic that an average minute of downtime costs $5,600 because, as it turns out, this information from 2014 hasn't been adjusted to reflect the real and nuanced costs of a modern IT outage. Here, we dive deeper into this recent research so ITOps organizations can gain a better understanding of downtime's impact, causes and remedies.

Cost Factors and Causes

While we tend to think lost revenue is the biggest cost casualty of an outage, "The Modern IT Outage: Costs, Causes and ‘Cures'" found that that simply isn't the case. In fact, "business disruption" and "impact on employee activity" tie for the top spot, while "lost revenue" was tied for third, along with "data breach" and "governance regulatory exposure." Also on the list are "reputation" and "hit to DevOps/SRE productivity." These came in fourth and fifth, respectively.


A full 41% of organizations suffer an outage at least monthly, a significant number. And these outages take an hour to repair on average.


As for the outage causes, the report found important differences among organizations in two categories: those that have enterprise-wide, mature artificial intelligence for IT operations (AIOps) and those that are implementing AIOps on a departmental basis. The organizations in the first category had tamed unplanned outages for the most part and only struggled with external factors such as power outages or internet provider failure that are outside the organization's control. Those in the second category primarily suffered change and configuration issues and human error — factors that are very much in the organization's control — and therefore ready for being mitigated with the power of AI and automation.


AIOps and the Road to Better Outcomes

IT leaders' thoughts on how the future looks relative to outage costs aren't optimistic. In fact, for some, the mood is downright fatalistic, with 36% believing that increased outage costs are guaranteed.

Still, some are hopeful, and AIOps plays a part here: The survey found that 22% of respondents say that rising costs are avoidable and they plan to use AIOps and automation to stem them. Another 13% of respondents reported that proactive systems have allowed them to actually decrease outage costs. With this proof of AIOps' success, the more pessimistic IT leaders can keep their chins up.

There is no way to apply a surefire "cure" for IT outages in any organization, but AIOps and automation come close. Not only do they help minimize the costs and impact of outages, but they also are proven to reduce the number of outages, improve business process efficiencies, decrease war-room frequency, and much, much more. With AIOps and automation in their arsenal, IT professionals can rest a little easier knowing they have powerful weapons to use in their battle against the dreaded unplanned outage downtime.

Adam Blau is Senior Director of Product Marketing at BigPanda

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Diving Into the True Costs of IT Outages

Adam Blau
BigPanda

There are two words that strike fear in every IT professional: "unplanned outage." These come with a steep price tag: A recent report, The Modern IT Outage: Costs, Causes and Cures, found that downtime due to unplanned outages costs businesses $12,900 per minute. Breaking that statistic down further, the report revealed significant differences among companies of different sizes relating to downtime. For example, the outage cost per minute in an organization of 1,000 to 2,500 employees is $1,850, while the outage cost per minute in a larger company of 20,000 employees is $25,402 on average.

These statistics blow away the outdated yet often-quoted statistic that an average minute of downtime costs $5,600 because, as it turns out, this information from 2014 hasn't been adjusted to reflect the real and nuanced costs of a modern IT outage. Here, we dive deeper into this recent research so ITOps organizations can gain a better understanding of downtime's impact, causes and remedies.

Cost Factors and Causes

While we tend to think lost revenue is the biggest cost casualty of an outage, "The Modern IT Outage: Costs, Causes and ‘Cures'" found that that simply isn't the case. In fact, "business disruption" and "impact on employee activity" tie for the top spot, while "lost revenue" was tied for third, along with "data breach" and "governance regulatory exposure." Also on the list are "reputation" and "hit to DevOps/SRE productivity." These came in fourth and fifth, respectively.


A full 41% of organizations suffer an outage at least monthly, a significant number. And these outages take an hour to repair on average.


As for the outage causes, the report found important differences among organizations in two categories: those that have enterprise-wide, mature artificial intelligence for IT operations (AIOps) and those that are implementing AIOps on a departmental basis. The organizations in the first category had tamed unplanned outages for the most part and only struggled with external factors such as power outages or internet provider failure that are outside the organization's control. Those in the second category primarily suffered change and configuration issues and human error — factors that are very much in the organization's control — and therefore ready for being mitigated with the power of AI and automation.


AIOps and the Road to Better Outcomes

IT leaders' thoughts on how the future looks relative to outage costs aren't optimistic. In fact, for some, the mood is downright fatalistic, with 36% believing that increased outage costs are guaranteed.

Still, some are hopeful, and AIOps plays a part here: The survey found that 22% of respondents say that rising costs are avoidable and they plan to use AIOps and automation to stem them. Another 13% of respondents reported that proactive systems have allowed them to actually decrease outage costs. With this proof of AIOps' success, the more pessimistic IT leaders can keep their chins up.

There is no way to apply a surefire "cure" for IT outages in any organization, but AIOps and automation come close. Not only do they help minimize the costs and impact of outages, but they also are proven to reduce the number of outages, improve business process efficiencies, decrease war-room frequency, and much, much more. With AIOps and automation in their arsenal, IT professionals can rest a little easier knowing they have powerful weapons to use in their battle against the dreaded unplanned outage downtime.

Adam Blau is Senior Director of Product Marketing at BigPanda

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Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

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