Keynote announced availability of its next generation Performance Management Suite with new Real User Monitoring.
This cloud-based solution empowers enterprises to optimize performance for the digital experience across web and mobile sites in less than three seconds. Keynote Real User Monitoring, built on big data architecture, combined with synthetic monitoring provides enterprises with real-time insight to drive revenue growth and enhance customer engagements.
Using Keynote’s Performance Management Suite, enterprises can:
- Perform Triage-Based on Customer Impact – Determine in real-time the impact web slowdowns or errors have on user behavior, enabling IT teams to prioritize resolution based on business objectives.
- Optimize Investment Decisions – Analyze data trends to understand how performance impacts user behavior metrics such as conversion rate, abandonment rate, and session duration, enabling IT to determine the performance investments that optimize business results.
- Integrate Seamlessly with Business and NOC Dashboards - Analyze digital interactions with a flexible, open and extensible platform, allowing businesses to compose dashboards and integrate both Real and synthetic customer data with business intelligence tools of their own choosing.
“Businesses are on the cusp of a transformative era in digital and need to make informed decisions to deliver the best possible customer experience,” said Jennifer Tejada, CEO, Keynote. “We now deliver real-time, real customer insights in the context of synthetic measurements and business objectives, leveraging our proven ability to connect technology, innovation and experience. Our new Performance Management Suite empowers digital owners with actionable insights to optimize revenue producing transactions when seconds matter.”
According to independent industry analyst firm Aberdeen, 25 percent of users will abandon a web application after just three seconds of delay.2 Managing customer expectations with these new realities necessitates performance to be at the forefront of all digital strategies. “Performance is central in transforming the customer’s digital experience but often falters when IT and the business don’t share common goals and business objectives,” said Jonathan Rende, executive vice president of products and marketing, Keynote. “With our New Performance Management Suite, enterprises can instantly understand the business impact of poor performance on customer journeys.”
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
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.