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Catchpoint Introduces DEX Sonar

Catchpoint released DEX Sonar, a complete solution unifying real user, active, and device monitoring, complementing Catchpoint’s existing synthetic monitoring for employee applications.

Sonar fills an industry need for end-to-end visibility into the Digital Employee Experience (DEX), particularly for third-party SaaS applications.

DEX Sonar gains its visibility directly from an employee’s device via a browser extension and lightweight companion application running in the background. It provides visibility of the exact experiences employees have as they interact with SaaS or proprietary applications. Real-time and historical data on a SaaS application’s performance at global, local, and device levels ensure that organizations can mitigate, resolve, and often prevent service disruptions that affect productivity and morale.

DEX Sonar’s real user, active, and device monitoring solution complements Catchpoint’s recently announced DEX Synthetic Monitoring, deployed via on-premise nodes and across Catchpoint’s global node network to proactively scan for SaaS outages or slowdowns before they impact employees. With enterprises dependent on a large ecosystem of SaaS solutions, a blend of active and passive monitoring protects productivity, keeps employees happy, and holds software vendors accountable.

“Employees are increasingly reliant on SaaS applications, so disruptions like outages or slowdowns equate to lost productivity, employee dissatisfaction, and potentially lost business,” comments Mehdi Daoudi, CEO of Catchpoint. “We built our DEX platform to help enterprises take back control of SaaS applications, preempt incidents where possible, speed mean time to repair and hold vendors accountable to service level agreements (SLAs).”

With the shift to SaaS applications, where the vendor manages the code and infrastructure, businesses can no longer easily add telemetry to the application layer to monitor the user experience. Sonar injects the telemetry at the browser and reports via the companion Catchpoint application, offering visibility into the performance of SaaS applications.

With Catchpoint’s Digital Employee Experience (DEX) solutions, enterprises can now:

- Proactively monitor SaaS applications to stay ahead of potential issues;

- Get real user experience data, from real user locations;

- Combine real user and synthetic data to get the most comprehensive view of application performance - including baseline application availability, what a user experiences using the app, and identifying performance optimization paths;

- Pinpoint local connectivity issues before users are affected; and

- Ensure the delivery of promised services or secure SLA remuneration via expert data from a neutral party.

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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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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.

Catchpoint Introduces DEX Sonar

Catchpoint released DEX Sonar, a complete solution unifying real user, active, and device monitoring, complementing Catchpoint’s existing synthetic monitoring for employee applications.

Sonar fills an industry need for end-to-end visibility into the Digital Employee Experience (DEX), particularly for third-party SaaS applications.

DEX Sonar gains its visibility directly from an employee’s device via a browser extension and lightweight companion application running in the background. It provides visibility of the exact experiences employees have as they interact with SaaS or proprietary applications. Real-time and historical data on a SaaS application’s performance at global, local, and device levels ensure that organizations can mitigate, resolve, and often prevent service disruptions that affect productivity and morale.

DEX Sonar’s real user, active, and device monitoring solution complements Catchpoint’s recently announced DEX Synthetic Monitoring, deployed via on-premise nodes and across Catchpoint’s global node network to proactively scan for SaaS outages or slowdowns before they impact employees. With enterprises dependent on a large ecosystem of SaaS solutions, a blend of active and passive monitoring protects productivity, keeps employees happy, and holds software vendors accountable.

“Employees are increasingly reliant on SaaS applications, so disruptions like outages or slowdowns equate to lost productivity, employee dissatisfaction, and potentially lost business,” comments Mehdi Daoudi, CEO of Catchpoint. “We built our DEX platform to help enterprises take back control of SaaS applications, preempt incidents where possible, speed mean time to repair and hold vendors accountable to service level agreements (SLAs).”

With the shift to SaaS applications, where the vendor manages the code and infrastructure, businesses can no longer easily add telemetry to the application layer to monitor the user experience. Sonar injects the telemetry at the browser and reports via the companion Catchpoint application, offering visibility into the performance of SaaS applications.

With Catchpoint’s Digital Employee Experience (DEX) solutions, enterprises can now:

- Proactively monitor SaaS applications to stay ahead of potential issues;

- Get real user experience data, from real user locations;

- Combine real user and synthetic data to get the most comprehensive view of application performance - including baseline application availability, what a user experiences using the app, and identifying performance optimization paths;

- Pinpoint local connectivity issues before users are affected; and

- Ensure the delivery of promised services or secure SLA remuneration via expert data from a neutral party.

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.