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Customer-Facing Incidents Increased by 43% During the Past Year

The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty.

As respondents' organizations saw an average of 25 high-priority/priority incidents in the last 12 months, the cumulative costs add up to just under $20 million per year, per organization.


Source: PagerDuty

"PagerDuty's global survey found that incidents have been driven by increased complexity, rapid expansion of digital services and insufficient investment in IT infrastructure maintenance," said Eric Johnson, CIO at PagerDuty. "The costs of these incidents are significant both financially and in lost consumer trust, which is why companies need to invest in automation to mitigate the risk and shorten the time an incident lasts. Investing in automation needs to be at the top of IT leaders' priority lists."

Other key findings of the data include:

■ Over half (59%) of IT leaders say that customer-impacting incidents have increased, growing by an average of 43% in the last 12 months.

■ 78% of IT leaders in travel say customer-impacting incidents have increased.

■ 68% of IT leaders in finance say customer-impacting incidents have increased.

■ Organizations with at least five manual processes in incident response incurred $30.4 million in annual costs of customer-facing outages vs. $16.8 million for those with at least five processes fully automated.

■ 69% of IT leaders say the board and management are failing to invest in protecting customer trust when outages occur.

■ Nearly a quarter (24%) of IT leaders reported outages negatively impacting share prices.

■ More than ⅓ (35%) of IT leaders have seen higher levels of employee burnout.

■ More than 70% of IT leaders report that remediation, mobilizing responders, collaboration between teams and internal communications with stakeholders are yet to be fully automated.

Digital incidents continue to rise in number, last longer and cost more, but organizations are also understanding the critical role automation can play. 86% of IT leaders surveyed say that their organization is making strides towards fully automating the end-to-end incident response process.

"Digital incidents occur, and front-line responders are too often hindered in their ability to resolve incidents quickly due to fragmented IT environments, inadequate processes and inability to identify the right responders," said Jeffrey Hausman, Chief Product Development Officer at PagerDuty. "Automation can be a key enabler in achieving resilience in these increasingly complex environments."

Methodology: The survey — of 500 IT leaders and decision-makers of companies with more than 1,000 employees responsible for IT operations from the US, UK and Australia — was conducted online between May 31, 2024 and June 6, 2024 by Censuswide on behalf of PagerDuty.

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Customer-Facing Incidents Increased by 43% During the Past Year

The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty.

As respondents' organizations saw an average of 25 high-priority/priority incidents in the last 12 months, the cumulative costs add up to just under $20 million per year, per organization.


Source: PagerDuty

"PagerDuty's global survey found that incidents have been driven by increased complexity, rapid expansion of digital services and insufficient investment in IT infrastructure maintenance," said Eric Johnson, CIO at PagerDuty. "The costs of these incidents are significant both financially and in lost consumer trust, which is why companies need to invest in automation to mitigate the risk and shorten the time an incident lasts. Investing in automation needs to be at the top of IT leaders' priority lists."

Other key findings of the data include:

■ Over half (59%) of IT leaders say that customer-impacting incidents have increased, growing by an average of 43% in the last 12 months.

■ 78% of IT leaders in travel say customer-impacting incidents have increased.

■ 68% of IT leaders in finance say customer-impacting incidents have increased.

■ Organizations with at least five manual processes in incident response incurred $30.4 million in annual costs of customer-facing outages vs. $16.8 million for those with at least five processes fully automated.

■ 69% of IT leaders say the board and management are failing to invest in protecting customer trust when outages occur.

■ Nearly a quarter (24%) of IT leaders reported outages negatively impacting share prices.

■ More than ⅓ (35%) of IT leaders have seen higher levels of employee burnout.

■ More than 70% of IT leaders report that remediation, mobilizing responders, collaboration between teams and internal communications with stakeholders are yet to be fully automated.

Digital incidents continue to rise in number, last longer and cost more, but organizations are also understanding the critical role automation can play. 86% of IT leaders surveyed say that their organization is making strides towards fully automating the end-to-end incident response process.

"Digital incidents occur, and front-line responders are too often hindered in their ability to resolve incidents quickly due to fragmented IT environments, inadequate processes and inability to identify the right responders," said Jeffrey Hausman, Chief Product Development Officer at PagerDuty. "Automation can be a key enabler in achieving resilience in these increasingly complex environments."

Methodology: The survey — of 500 IT leaders and decision-makers of companies with more than 1,000 employees responsible for IT operations from the US, UK and Australia — was conducted online between May 31, 2024 and June 6, 2024 by Censuswide on behalf of PagerDuty.

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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 ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...