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Compuware Publishes Second 2011 "Best of the Web" Report

Compuware published the second report of its 2011 "Best of the Web" series showcasing the leaders in web and mobile site performance.

The report, titled Best of the Web Performance Trends 2011, provides an analysis of web and mobile performance trends across seven major US industries and details steps companies can implement to improve website performance.

The report analyzed "Best of the Web" industry data for web and mobile site home pages and website transactions, across both Internet backbone and Compuware Gomez Last Mile measurements.

In select industries, data was also analyzed across regions, bandwidth, and page size, and compared to top performers.

Among the report's key findings:

The Fastest Industries:

- Web home page (Last Mile): Health Insurance

- Web Transaction: Brokerage

- Mobile home page: Retail Banking

Performance falls short of user expectations: Homepage response time was on average about five seconds slower on the Gomez Last Mile than on the Internet Backbone.

Top performers, on average, in four industries exceeded consumer expectations for mobile site performance of a five-second response time: Automotive, Banking, Retail and Travel.

There is up to a two-second difference in response time across the country: The Northeast region performed the best, and the West performed the worst.

Web transaction and mobile home page size continue to increase: All industries increased the size of their key user transactions with an average increase of 16 percent and mobile page size increase of 103 percent over the evaluation period in 2011.

"As many companies know, there's a tremendous amount of complexity involved in delivering web and mobile applications across multiple browsers, devices and locations," said Jonathan Ranger, Gomez Benchmark Practice Director at Compuware. "By analyzing an entire year's web and mobile performance data across several industries, we've been able to identify key performance trends and provide insight into where industries are being successful and where they're still struggling to address the increasing complexity of meeting the performance expectations of web and mobile customers."

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Compuware Publishes Second 2011 "Best of the Web" Report

Compuware published the second report of its 2011 "Best of the Web" series showcasing the leaders in web and mobile site performance.

The report, titled Best of the Web Performance Trends 2011, provides an analysis of web and mobile performance trends across seven major US industries and details steps companies can implement to improve website performance.

The report analyzed "Best of the Web" industry data for web and mobile site home pages and website transactions, across both Internet backbone and Compuware Gomez Last Mile measurements.

In select industries, data was also analyzed across regions, bandwidth, and page size, and compared to top performers.

Among the report's key findings:

The Fastest Industries:

- Web home page (Last Mile): Health Insurance

- Web Transaction: Brokerage

- Mobile home page: Retail Banking

Performance falls short of user expectations: Homepage response time was on average about five seconds slower on the Gomez Last Mile than on the Internet Backbone.

Top performers, on average, in four industries exceeded consumer expectations for mobile site performance of a five-second response time: Automotive, Banking, Retail and Travel.

There is up to a two-second difference in response time across the country: The Northeast region performed the best, and the West performed the worst.

Web transaction and mobile home page size continue to increase: All industries increased the size of their key user transactions with an average increase of 16 percent and mobile page size increase of 103 percent over the evaluation period in 2011.

"As many companies know, there's a tremendous amount of complexity involved in delivering web and mobile applications across multiple browsers, devices and locations," said Jonathan Ranger, Gomez Benchmark Practice Director at Compuware. "By analyzing an entire year's web and mobile performance data across several industries, we've been able to identify key performance trends and provide insight into where industries are being successful and where they're still struggling to address the increasing complexity of meeting the performance expectations of web and mobile customers."

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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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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 ...