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Critical IT Events Cost Millions for European Business

Pete Goldin
APMdigest

The average European organization loses millions of pounds/euros every year from an average of three critical IT events (CIE) per month (36 per year), according to a report titled Masters of Machines III—Mitigating the Impact of Critical IT Events from analyst firm Quocirca.

Findings show each CIE costing on average €115,034 or £88,488.

A CIE occurs when a business application or infrastructure is down or has a malfunction. This results in a business process being halted, or users left unable to reasonably carry out tasks and transactions.

“As IT complexity grows, critical IT events are inevitable in all organizations,” said Bob Tarzey, Analyst, Quocirca. “To limit the punitive associated costs and time wasted dealing with CIEs, it’s crucial IT teams have the insight required to pinpoint the cause when an incident does occur and get services back online as quickly as possible. Effective Operational Intelligence improves both the visibility of these teams and the co-ordination between team members as well as increases their productivity. The sooner CIEs are dealt with and lessons learnt, the sooner IT staff can stop firefighting and return to delivering value.”

Other findings from the report include:

■ Downtime has overtaken security as the top IT concern for European IT management. Through the Masters of Machines research, Quocirca has tracked top IT management concerns since 2013. For the first time, downtime is at the top of the list, replacing security, which moves into second place.

■ Concerns about downtime are driven by increasing IT complexity and growing reliance on IT. A hybrid mix of on-premises (used by 94 percent of respondents for primary or secondary deployment), software-as-a-service (86 percent) and infrastructure-as-a-service (80 percent) is now more or less ubiquitous. Organizations are increasingly seeing the benefits of outsourcing additional parts of their IT stack. At the same time, most organizations are more reliant than ever on IT to drive core business processes.

■ Operational Intelligence improves the ability of IT teams to respond to CIEs. The mean number of IT staff involved in a CIE response team is 18. Effective Operational Intelligence, driven by machine data, improves visibility into the underlying issues and team coordination. It also improves productivity. The research shows that Operational Intelligence can reduce the cost per team member per CIE by 25%.

“Today’s datacentre has evolved, and IT teams need to be prepared with the mindset and platform required to address constantly changing IT environments,” said Rick Fitz, SVP of IT Markets, Splunk. “Legacy systems often operate in silos and IT teams can struggle to collect and correlate information from multiple technologies. This makes it difficult to monitor infrastructure and resolve issues when they occur. By analyzing the data generated across your IT environment in depth and in real time, you can gain the Operational Intelligence to troubleshoot quickly, reduce MTTR and ultimately cut the costs associated with critical IT events.”

Methodology: Quocirca surveyed 380 companies in the UK, France, Germany, Sweden and the Netherlands.

Pete Goldin is Editor and Publisher of APMdigest

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Critical IT Events Cost Millions for European Business

Pete Goldin
APMdigest

The average European organization loses millions of pounds/euros every year from an average of three critical IT events (CIE) per month (36 per year), according to a report titled Masters of Machines III—Mitigating the Impact of Critical IT Events from analyst firm Quocirca.

Findings show each CIE costing on average €115,034 or £88,488.

A CIE occurs when a business application or infrastructure is down or has a malfunction. This results in a business process being halted, or users left unable to reasonably carry out tasks and transactions.

“As IT complexity grows, critical IT events are inevitable in all organizations,” said Bob Tarzey, Analyst, Quocirca. “To limit the punitive associated costs and time wasted dealing with CIEs, it’s crucial IT teams have the insight required to pinpoint the cause when an incident does occur and get services back online as quickly as possible. Effective Operational Intelligence improves both the visibility of these teams and the co-ordination between team members as well as increases their productivity. The sooner CIEs are dealt with and lessons learnt, the sooner IT staff can stop firefighting and return to delivering value.”

Other findings from the report include:

■ Downtime has overtaken security as the top IT concern for European IT management. Through the Masters of Machines research, Quocirca has tracked top IT management concerns since 2013. For the first time, downtime is at the top of the list, replacing security, which moves into second place.

■ Concerns about downtime are driven by increasing IT complexity and growing reliance on IT. A hybrid mix of on-premises (used by 94 percent of respondents for primary or secondary deployment), software-as-a-service (86 percent) and infrastructure-as-a-service (80 percent) is now more or less ubiquitous. Organizations are increasingly seeing the benefits of outsourcing additional parts of their IT stack. At the same time, most organizations are more reliant than ever on IT to drive core business processes.

■ Operational Intelligence improves the ability of IT teams to respond to CIEs. The mean number of IT staff involved in a CIE response team is 18. Effective Operational Intelligence, driven by machine data, improves visibility into the underlying issues and team coordination. It also improves productivity. The research shows that Operational Intelligence can reduce the cost per team member per CIE by 25%.

“Today’s datacentre has evolved, and IT teams need to be prepared with the mindset and platform required to address constantly changing IT environments,” said Rick Fitz, SVP of IT Markets, Splunk. “Legacy systems often operate in silos and IT teams can struggle to collect and correlate information from multiple technologies. This makes it difficult to monitor infrastructure and resolve issues when they occur. By analyzing the data generated across your IT environment in depth and in real time, you can gain the Operational Intelligence to troubleshoot quickly, reduce MTTR and ultimately cut the costs associated with critical IT events.”

Methodology: Quocirca surveyed 380 companies in the UK, France, Germany, Sweden and the Netherlands.

Pete Goldin is Editor and Publisher of APMdigest

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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.

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