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Almost Half of UK eCommerce Sites Crash During Seasonal Peaks

Pete Goldin
APMdigest

40 percent of UK retail websites experience downtime during seasonal peaks, according to a recent study by Cogeco Peer 1.

The independent study of over 100 UK eCommerce decision makers also found that 48 percent did not feel completely ready for seasonal peaks in website traffic.

58 percent of UK retailers admitted they faced page speed issues during 2016 - 2017 seasonal peaks.

“Retailers and brands are facing considerable challenges when selling online: from how to compete with the likes of Amazon and how social media is transforming shopping; to harnessing the power of automation and maintaining a uniform, effective online presence 24/7,” commented Susan Bowen, VP and GM, EMEA at Cogeco Peer 1. “The figures in the study highlight the need for UK retailers to act if they are to take full advantage of the revenue opportunities available during seasonal peak spending periods.”

Last year, a PwC and Local Data Company report found that 2,656 physical outlets closed on Britain’s high streets in the first half of the year. This was a rate of 15 stores a day, up from 14 a day during the same period in 2015. Greater London saw the biggest net drop in the country as 164 shops were lost – emphasizing that retailers need to maximize revenue during peak times, like Cyber Weekend.

Bowen continued: “Tech is an underpinning element to the success of all online retail brands today. Deciding when to make an upgrade is critical. Struggles during Easter can be a powerful indicator that this technology is creaking under the strain and holding retailers back during the biggest spending weekends of the year. It’s a tough question, but retailers all over the country need to ask themselves now, whether the tech infrastructure they are using is fit for purpose and whether it can support them through 2017’s seasonal shopping peaks."

“Brands can be as creative as they like with advertising and social media communications, but without a tech infrastructure that can meet the most strenuous demands of today’s online consumers, UK eCommerce brands will continue to miss out on these vital revenue streams,” added Bowen.

Peak holiday times such as Easter, Black Friday, Cyber Monday and the Boxing Day sales represented over a £7 billion boom for the British economy in 2016. Periods like this represent a considerable percentage of the overall annual revenue for retailers, so maximizing on these seasonal peaks is often the difference between making the black and sinking into the red.

Pete Goldin is Editor and Publisher of APMdigest

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Almost Half of UK eCommerce Sites Crash During Seasonal Peaks

Pete Goldin
APMdigest

40 percent of UK retail websites experience downtime during seasonal peaks, according to a recent study by Cogeco Peer 1.

The independent study of over 100 UK eCommerce decision makers also found that 48 percent did not feel completely ready for seasonal peaks in website traffic.

58 percent of UK retailers admitted they faced page speed issues during 2016 - 2017 seasonal peaks.

“Retailers and brands are facing considerable challenges when selling online: from how to compete with the likes of Amazon and how social media is transforming shopping; to harnessing the power of automation and maintaining a uniform, effective online presence 24/7,” commented Susan Bowen, VP and GM, EMEA at Cogeco Peer 1. “The figures in the study highlight the need for UK retailers to act if they are to take full advantage of the revenue opportunities available during seasonal peak spending periods.”

Last year, a PwC and Local Data Company report found that 2,656 physical outlets closed on Britain’s high streets in the first half of the year. This was a rate of 15 stores a day, up from 14 a day during the same period in 2015. Greater London saw the biggest net drop in the country as 164 shops were lost – emphasizing that retailers need to maximize revenue during peak times, like Cyber Weekend.

Bowen continued: “Tech is an underpinning element to the success of all online retail brands today. Deciding when to make an upgrade is critical. Struggles during Easter can be a powerful indicator that this technology is creaking under the strain and holding retailers back during the biggest spending weekends of the year. It’s a tough question, but retailers all over the country need to ask themselves now, whether the tech infrastructure they are using is fit for purpose and whether it can support them through 2017’s seasonal shopping peaks."

“Brands can be as creative as they like with advertising and social media communications, but without a tech infrastructure that can meet the most strenuous demands of today’s online consumers, UK eCommerce brands will continue to miss out on these vital revenue streams,” added Bowen.

Peak holiday times such as Easter, Black Friday, Cyber Monday and the Boxing Day sales represented over a £7 billion boom for the British economy in 2016. Periods like this represent a considerable percentage of the overall annual revenue for retailers, so maximizing on these seasonal peaks is often the difference between making the black and sinking into the red.

Pete Goldin is Editor and Publisher of APMdigest

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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 ...

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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 ...

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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 ...