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Keynote Introduces Performance in Context

Keynote announced a comprehensive update to its portfolio of mobile app and Web monitoring and competitive intelligence tools, giving companies a more complete view of online customer experience.

Performance in Context delivers a set of capabilities to guide the continuous improvement of customer experience and optimize business outcomes. It helps Line of Business and IT Operations teams by providing the operational data and actionable analytics needed to understand user behavior and what changes are necessary to impact it.

In addition to improving the ability to visualize and correlate real user monitoring data with Keynote’s active web and mobile monitoring, Keynote is introducing the web performance Health Score. With Health Score, a customer gets continuous individual performance analysis, receiving page-level performance evaluations of web sites with immediate suggestions on how to reduce errors and improve user experience and performance. Each Health Score is tailored according to delivery channel, whether on the mobile Web or the desktop.

Keynote continues to improve its market comparison offerings, showing comparative performance across top industry sectors and their key players. These include: Keynote Competitive Rankings, syndicated assessments of site performance and usability plus consumer brand attitudes, with new partner eVOC extending usability and customer experience analysis; and the Keynote Scorecards, which offer website and mobile app feature and functionality assessments. These offerings complement the 24/7 comparative data delivered through Keynote Performance Indexes.

Enhancements to Keynote’s monitoring platform and RESTful API facilitate performance analysis across all of your measurement sources. These include support for HAR (HTTP Archive) and PCAP (packet capture) format data export, and real-time programmatic access to alarm data. These enhancements improve Keynote’s current support for integration with enterprise performance solutions from Splunk, Extrahop and Riverbed among others. As a result, customers like Central 1 Credit Union are improving efficiencies by integrating end user experience data with their other monitoring tools, with significant business results.

“Today’s consumers increasingly expect an engaging, intuitive, and efficient digital experience that simply delivers on the brand promise regardless of the digital channel, device, network or operating system,” said Jennifer Tejada, CEO at Keynote. “We know a disappointing experience can destroy years of brand investment in seconds, so understanding performance in the context of consumer behavior and competitive insight is critical if companies are to exceed consumers’ expectations, build brand value and ultimately achieve better business outcomes. Keynote brings 19 years of expertise, providing a rich portfolio of measurement solutions that are now easier to use, provide greater competitive insight, offer new integration capabilities, and comprehensive coverage across leading devices and networks, ultimately providing measurable business benefits through performance optimization.”

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 ...

Keynote Introduces Performance in Context

Keynote announced a comprehensive update to its portfolio of mobile app and Web monitoring and competitive intelligence tools, giving companies a more complete view of online customer experience.

Performance in Context delivers a set of capabilities to guide the continuous improvement of customer experience and optimize business outcomes. It helps Line of Business and IT Operations teams by providing the operational data and actionable analytics needed to understand user behavior and what changes are necessary to impact it.

In addition to improving the ability to visualize and correlate real user monitoring data with Keynote’s active web and mobile monitoring, Keynote is introducing the web performance Health Score. With Health Score, a customer gets continuous individual performance analysis, receiving page-level performance evaluations of web sites with immediate suggestions on how to reduce errors and improve user experience and performance. Each Health Score is tailored according to delivery channel, whether on the mobile Web or the desktop.

Keynote continues to improve its market comparison offerings, showing comparative performance across top industry sectors and their key players. These include: Keynote Competitive Rankings, syndicated assessments of site performance and usability plus consumer brand attitudes, with new partner eVOC extending usability and customer experience analysis; and the Keynote Scorecards, which offer website and mobile app feature and functionality assessments. These offerings complement the 24/7 comparative data delivered through Keynote Performance Indexes.

Enhancements to Keynote’s monitoring platform and RESTful API facilitate performance analysis across all of your measurement sources. These include support for HAR (HTTP Archive) and PCAP (packet capture) format data export, and real-time programmatic access to alarm data. These enhancements improve Keynote’s current support for integration with enterprise performance solutions from Splunk, Extrahop and Riverbed among others. As a result, customers like Central 1 Credit Union are improving efficiencies by integrating end user experience data with their other monitoring tools, with significant business results.

“Today’s consumers increasingly expect an engaging, intuitive, and efficient digital experience that simply delivers on the brand promise regardless of the digital channel, device, network or operating system,” said Jennifer Tejada, CEO at Keynote. “We know a disappointing experience can destroy years of brand investment in seconds, so understanding performance in the context of consumer behavior and competitive insight is critical if companies are to exceed consumers’ expectations, build brand value and ultimately achieve better business outcomes. Keynote brings 19 years of expertise, providing a rich portfolio of measurement solutions that are now easier to use, provide greater competitive insight, offer new integration capabilities, and comprehensive coverage across leading devices and networks, ultimately providing measurable business benefits through performance optimization.”

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 ...