
Dynatrace (formerly Compuware APM) announced Performance Test, a new free online service that analyzes a company's site from the perspective of mobile and web users, and compares their experience to Dynatrace benchmark data.
Web and mobile site owners can simply enter their web URL, choose a location to measure from and an industry to compare to. A report is instantly generated to help business leaders understand the quality of their end users' digital experience.
Additionally, the new Performance Test also compares a company's site to one of Dynatrace's industry standard benchmarks, the most comprehensive source of industry-based mobile and web performance comparative measurements.
"For the first time ever, organizations can see how their digital performance ranks against the best in their industry and learn where their site aligns or deviates from the best practices of top performers," said John Van Siclen, GM at Dynatrace. "We know that applications are the life blood of businesses today, which is why I'm excited that we can now provide business leaders the power to quickly assess their most critical applications. Better yet, it's fast, simple and free."
Performance Test features include:
- Report Card: Not only does the report card show performance results, but it also ranks a company's site against their peers. The Performance Test performs a mobile phone and desktop browser visit to a company's URL from one of Dynatrace's thousands of testing locations, collect in-depth performance data and prepare a custom performance analysis. The analysis includes a high-level summary which compares response time and page size for mobile and web user experiences against the top competitors in their industry.
- Response Time Industry Comparison: Shows where a site ranks against all companies in the benchmark. Organizations can see where they and their competitors stack up for mobile and web.
- Content Analysis: Shows important metrics for both mobile and web compared to the best and worst response time performers, making it easy to see optimization opportunities. The metrics measured include: 1). the number of hosts the site connects to; 2). the number of connections it makes; 3). the number of requests for content; and 4). the number of bytes retrieved and compares them all to competitors.
- Response Time Breakdown: Offers a "waterfall" chart that provides a timeline view of a site's response time and the performance of each interaction a browser has with the site. The Response Time Breakdown can help pinpoint performance problems to specific pieces of content or particular servers or networks.
"I challenge every company to take the Performance Test, utilize the data from our global monitoring network and find out what experience you are actually providing to your end users," said Van Siclen. "Now there's nothing stopping business leaders from taking control of the performance of their critical applications so that they can optimize every digital moment for their employees and customers."
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 ...
