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Catchpoint Provides Free Real User Monitoring to All Synthetic Monitoring Customers

Catchpoint announced that all customers will receive access to the company’s Real User Monitoring (RUM) solution along with their existing proactive Synthetic Monitoring as one unified Software as a Service (SaaS) platform.

“Coupled together, synthetic and real user data provide the most unified and complete picture of end-user experience for our customers to understand and optimize their web performance (speed, availability, and reliability) and accelerate time to insight,” says Mehdi Daoudi, CEO, Catchpoint. “Our RUM capabilities leverage many of the same key features as our Synthetic Monitoring, including the ability to measure real end-user performance from anywhere in the world; rich analytics enabling faster, more accurate issue resolution; and business-impact analysis. Our Dataviews capabilities empower customers to create various data preparation models, allowing them to spend time optimizing their digital experiences rather than wasting time filtering and optimizing queries or hiring expensive consultants.”

Catchpoint continues to innovate in the RUM space with the introduction of two powerful features relying on an algorithmic approach: Outage Analyzer, which learns from historical traffic patterns to predict outages, and User Engagement Estimator which helps both business and IT understand the impact of proposed changes on performance and conversions by simulating “what-if” scenarios. Catchpoint also leverages its scalable RUM ingestion platform to extend beyond web pages and into single page apps, mobile apps, IoT, and infrastructure telemetry.

Catchpoint’s RUM tool captures real end-user interaction data once site visitors enter a site or application, enabling customers to identify their most critical landing pages and conversion paths and prioritize these for performance optimization. The RUM solution allows customers to correlate bottlenecks identified by synthetic monitoring to real end-user behavioral outcomes (for example, transaction abandonments).

Catchpoint’s RUM complements its leading Synthetic Monitoring solution which proactively measures the speed and availability of APIs, web, and mobile applications from over 750 global locations on the internet backbone, broadband, last mile, mobile and cloud. Customers can also deploy Synthetic Monitoring on-premise to monitor their digital workforce toolsets such as Salesforce, Office 365 and Workday, where performance issues can become enterprise productivity bottlenecks. Customers can achieve faster time-to-value by implementing their monitoring strategies in minutes, giving them round-the-clock assurance that their digital properties and services are consistently available and fast.

“Our decision to provide a Real User Monitoring solution for free to all our Synthetic Monitoring customers as part of one platform is a very natural step,” continues Daoudi. “Our company prides itself on providing the most extensive data and analytics for both synthetic monitoring and RUM in one unified platform. Our customers will have a stereo vision into their end-users’ experiences by combining synthetic monitoring data – which proactively detects and preempts technical problems affecting the digital delivery chain – with RUM data, which quantifies the bottom line impact.”

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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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Catchpoint Provides Free Real User Monitoring to All Synthetic Monitoring Customers

Catchpoint announced that all customers will receive access to the company’s Real User Monitoring (RUM) solution along with their existing proactive Synthetic Monitoring as one unified Software as a Service (SaaS) platform.

“Coupled together, synthetic and real user data provide the most unified and complete picture of end-user experience for our customers to understand and optimize their web performance (speed, availability, and reliability) and accelerate time to insight,” says Mehdi Daoudi, CEO, Catchpoint. “Our RUM capabilities leverage many of the same key features as our Synthetic Monitoring, including the ability to measure real end-user performance from anywhere in the world; rich analytics enabling faster, more accurate issue resolution; and business-impact analysis. Our Dataviews capabilities empower customers to create various data preparation models, allowing them to spend time optimizing their digital experiences rather than wasting time filtering and optimizing queries or hiring expensive consultants.”

Catchpoint continues to innovate in the RUM space with the introduction of two powerful features relying on an algorithmic approach: Outage Analyzer, which learns from historical traffic patterns to predict outages, and User Engagement Estimator which helps both business and IT understand the impact of proposed changes on performance and conversions by simulating “what-if” scenarios. Catchpoint also leverages its scalable RUM ingestion platform to extend beyond web pages and into single page apps, mobile apps, IoT, and infrastructure telemetry.

Catchpoint’s RUM tool captures real end-user interaction data once site visitors enter a site or application, enabling customers to identify their most critical landing pages and conversion paths and prioritize these for performance optimization. The RUM solution allows customers to correlate bottlenecks identified by synthetic monitoring to real end-user behavioral outcomes (for example, transaction abandonments).

Catchpoint’s RUM complements its leading Synthetic Monitoring solution which proactively measures the speed and availability of APIs, web, and mobile applications from over 750 global locations on the internet backbone, broadband, last mile, mobile and cloud. Customers can also deploy Synthetic Monitoring on-premise to monitor their digital workforce toolsets such as Salesforce, Office 365 and Workday, where performance issues can become enterprise productivity bottlenecks. Customers can achieve faster time-to-value by implementing their monitoring strategies in minutes, giving them round-the-clock assurance that their digital properties and services are consistently available and fast.

“Our decision to provide a Real User Monitoring solution for free to all our Synthetic Monitoring customers as part of one platform is a very natural step,” continues Daoudi. “Our company prides itself on providing the most extensive data and analytics for both synthetic monitoring and RUM in one unified platform. Our customers will have a stereo vision into their end-users’ experiences by combining synthetic monitoring data – which proactively detects and preempts technical problems affecting the digital delivery chain – with RUM data, which quantifies the bottom line impact.”

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.