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State of Digital Operations: IT Challenges in UK

Eric Sigler

While the majority of IT practitioners in the UK believe their organization is equipped to support digital services, over half of them also say they face consumer-impacting incidents at least one or more times a week, sometimes costing their organizations millions in lost revenue for every hour that an application is down, according to PagerDuty's State of Digital Operations Report: United Kingdom.

The report also highlighted that an organization's failure to deliver on consumer expectations for a seamless digital experience can greatly affect a company's brand reputation and bottom line.


The report found that nearly all (90.6 percent) of UK consumers surveyed use a digital application or service to complete tasks such as banking, making dinner reservations, finding transportation, grocery shopping and booking airline tickets, at least one or more times a week. This finding is indicative of the larger UK digital services landscape — IDC predicts that half of the Global 2000 enterprises will see the majority of their business depend on their ability to create and maintain digital services, products and applications by 2020. In addition, IDC says 89 percent of European organizations view digital transformation as central to their corporate strategy.

"With the rise in digital services in the UK, European businesses need to be ready to accelerate their digital transformation journey and adapt to consumer demands," said Jennifer Tejada, CEO at PagerDuty. "Disrupting brand and engagement experience means lost revenue and organizations need to be proactive versus reactive –– a reactive or automated approach to resolving consumer-facing incidents is not table stakes. Organizations can arm their IT teams by taking a holistic approach to incident response. Solutions that embrace capabilities such as machine learning and advanced response automation can help organizations easily deploy an expedited response to consumer-facing incidents."

IT Cannot Meet Consumer Expectations

The State of Digital Operations Report: United Kingdom revealed that along with the heavy reliance on digital services, UK consumers expect a seamless user experience, and IT organizations are struggling to meet these expectations.

When a digital app or service is unresponsive or slow, many consumers indicated that they are quick to stop using that app or service.

■ 86.6 percent of surveyed consumers said they are likely to temporarily switch to an alternative mobile app or website to complete their task.

■ 81.2 percent of consumers said they would wait just one minute or less for a slow or unresponsive application before leaving to use a different app or service.

■ 66.8 percent of respondents said they were likely to never use a slow or unresponsive app or service again.

Meanwhile, 87.4 percent of IT personnel said their organizations take more than five minutes to resolve IT incidents that impact consumer-facing digital services, putting them at risk of losing users.

The report also revealed that while 72.3 percent of IT practitioners believe their organization is currently equipped to support digital service offerings effectively, 67.1 percent of IT organizations said they face consumer-impacting incidents at least one or more times a week. This places organizations at constant risk of losing customers and revenue due to the length of time it takes to resolve these issues.

The Effects of Downtime on the Bottom Line

IT teams are now at the front and center of providing customers with a satisfying user experience. The report revealed that organizations are making significant upfront investments in tools and technologies that support the delivery of digital services in order to avoid costly performance issues later on. Nearly half of respondents (49.9 percent) reported that their organizations budget £500,000 or more for DevOps and ITOps tools and services to support and manage digital service offerings –– a critical investment as downtime or service degradation can significantly impact an organization's financial success.

■ Over one third of respondents (35.5 percent) said that on average, an hour of downtime costs their organization between £500,000 to £5 million.

■ 14.3 percent indicated an hour of downtime costs £5 million or more.

IT disruptions aren't just affecting the developers, DevOps or ITOps teams responsible for managing digital services performance –– the report shows that the top three non-IT departments most impacted by software issues are:

■ Sales (35.2 percent)

■ Accounting and Finance (32.9 percent)

■ Research and Development (25.4 percent)

The Right Tools, Technologies and Strategy Make Digital Transformation Possible

The report shows monitoring tools are important in helping organizations support digital service offerings effectively. The top three DevOps and ITOps tools used by IT teams to provide the insight needed to prevent disruptions in a customer's digital experience are:

■ Security monitoring (51.1 percent)

■ Infrastructure monitoring (47.9 percent)

■ Application monitoring (41.4 percent)

"In order to fully embrace digital transformation, IT teams need streamlined tools and a tight digital operations strategy," said Steve Barrett, Head of EMEA Sales at PagerDuty. "By adopting and deploying the right tools, organizations can quickly and easily resolve problems before they are customer impacting, helping protect their revenue and reputation while delivering a seamless customer experience."

The report findings are based on a two-part survey of over 300 IT practitioners and over 300 UK consumers on the impact of digital services. The surveys examined what UK consumers expect from digital experiences, how organizations are investing in supporting digital services and what tools IT teams are using to keep these services up and running.

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 ...

State of Digital Operations: IT Challenges in UK

Eric Sigler

While the majority of IT practitioners in the UK believe their organization is equipped to support digital services, over half of them also say they face consumer-impacting incidents at least one or more times a week, sometimes costing their organizations millions in lost revenue for every hour that an application is down, according to PagerDuty's State of Digital Operations Report: United Kingdom.

The report also highlighted that an organization's failure to deliver on consumer expectations for a seamless digital experience can greatly affect a company's brand reputation and bottom line.


The report found that nearly all (90.6 percent) of UK consumers surveyed use a digital application or service to complete tasks such as banking, making dinner reservations, finding transportation, grocery shopping and booking airline tickets, at least one or more times a week. This finding is indicative of the larger UK digital services landscape — IDC predicts that half of the Global 2000 enterprises will see the majority of their business depend on their ability to create and maintain digital services, products and applications by 2020. In addition, IDC says 89 percent of European organizations view digital transformation as central to their corporate strategy.

"With the rise in digital services in the UK, European businesses need to be ready to accelerate their digital transformation journey and adapt to consumer demands," said Jennifer Tejada, CEO at PagerDuty. "Disrupting brand and engagement experience means lost revenue and organizations need to be proactive versus reactive –– a reactive or automated approach to resolving consumer-facing incidents is not table stakes. Organizations can arm their IT teams by taking a holistic approach to incident response. Solutions that embrace capabilities such as machine learning and advanced response automation can help organizations easily deploy an expedited response to consumer-facing incidents."

IT Cannot Meet Consumer Expectations

The State of Digital Operations Report: United Kingdom revealed that along with the heavy reliance on digital services, UK consumers expect a seamless user experience, and IT organizations are struggling to meet these expectations.

When a digital app or service is unresponsive or slow, many consumers indicated that they are quick to stop using that app or service.

■ 86.6 percent of surveyed consumers said they are likely to temporarily switch to an alternative mobile app or website to complete their task.

■ 81.2 percent of consumers said they would wait just one minute or less for a slow or unresponsive application before leaving to use a different app or service.

■ 66.8 percent of respondents said they were likely to never use a slow or unresponsive app or service again.

Meanwhile, 87.4 percent of IT personnel said their organizations take more than five minutes to resolve IT incidents that impact consumer-facing digital services, putting them at risk of losing users.

The report also revealed that while 72.3 percent of IT practitioners believe their organization is currently equipped to support digital service offerings effectively, 67.1 percent of IT organizations said they face consumer-impacting incidents at least one or more times a week. This places organizations at constant risk of losing customers and revenue due to the length of time it takes to resolve these issues.

The Effects of Downtime on the Bottom Line

IT teams are now at the front and center of providing customers with a satisfying user experience. The report revealed that organizations are making significant upfront investments in tools and technologies that support the delivery of digital services in order to avoid costly performance issues later on. Nearly half of respondents (49.9 percent) reported that their organizations budget £500,000 or more for DevOps and ITOps tools and services to support and manage digital service offerings –– a critical investment as downtime or service degradation can significantly impact an organization's financial success.

■ Over one third of respondents (35.5 percent) said that on average, an hour of downtime costs their organization between £500,000 to £5 million.

■ 14.3 percent indicated an hour of downtime costs £5 million or more.

IT disruptions aren't just affecting the developers, DevOps or ITOps teams responsible for managing digital services performance –– the report shows that the top three non-IT departments most impacted by software issues are:

■ Sales (35.2 percent)

■ Accounting and Finance (32.9 percent)

■ Research and Development (25.4 percent)

The Right Tools, Technologies and Strategy Make Digital Transformation Possible

The report shows monitoring tools are important in helping organizations support digital service offerings effectively. The top three DevOps and ITOps tools used by IT teams to provide the insight needed to prevent disruptions in a customer's digital experience are:

■ Security monitoring (51.1 percent)

■ Infrastructure monitoring (47.9 percent)

■ Application monitoring (41.4 percent)

"In order to fully embrace digital transformation, IT teams need streamlined tools and a tight digital operations strategy," said Steve Barrett, Head of EMEA Sales at PagerDuty. "By adopting and deploying the right tools, organizations can quickly and easily resolve problems before they are customer impacting, helping protect their revenue and reputation while delivering a seamless customer experience."

The report findings are based on a two-part survey of over 300 IT practitioners and over 300 UK consumers on the impact of digital services. The surveys examined what UK consumers expect from digital experiences, how organizations are investing in supporting digital services and what tools IT teams are using to keep these services up and running.

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 ...