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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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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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FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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