Exoprise announced Service Watch Desktop for Microsoft 365.
As distributed work continues to dominate the industry, successful user experience monitoring of cloud applications and machine performance data becomes a huge priority for IT. Service Watch Desktop enables IT to accelerate the adoption of Microsoft 365 cloud deployments, enforce enterprise-grade security controls, and monitor the end-user digital experience of its remote workforce.
Exoprise already offers Real User Monitoring (RUM) for ALL of Office 365 via Service Watch Browser. Service Watch Desktop adds advanced telemetry collected from user endpoints, networks, and ISPs, giving businesses unparalleled insight and analytics into employee experiences.
- Gather Real User SaaS Intelligence – The unique capabilities of Service Watch Desktop go beyond providing rich insights and real-time visibility into digital experience of Microsoft 365 apps. Detailed metrics are collected across any application, OS, or network wherever the user is working.
- Transform Collaboration with Long-term Trending – Ensure your remote and office employees are confidently utilizing Microsoft 365 cloud apps for their business workflows. Service Watch Desktop agents collect and correlate machine, OS, and network data delivering historical performance trends. Detect slow SaaS services for real users collaborating on projects.
- Aggregate and Score Employee Digital Experience – IT can now prioritize their services to end-users based on network, transaction and desktop experience scores. These scores rank the impact enterprise cloud applications have on employee productivity, user behavior, and their overall satisfaction levels.
- Diagnose and Troubleshoot Issues Quickly – Bring business back to normalcy when outage strikes. End-to-end visibility through a combination of CloudReady Synthetics and Service Watch Desktop RUM reduces Mean Time to Resolution (MTTR) and enables rapid root cause analysis.
- Rapid Deployment – With a point-click-deploy model, Service Watch Desktop streamlines and instantly monitors Microsoft 365 or Office 365 cloud apps. IT teams can create custom cloud-based configurations for individual users or whole departments.
- Digital Experience Monitoring with True Privacy – Service Watch Desktop is configured to exclusively monitor specific business resources and Internet domains ensuring privacy but also providing full coverage for business-critical services.
“The entire Exoprise team is excited to launch our latest visibility product driven by input and requests from our terrific customers,” said Exoprise CEO Jason Lieblich. “Real-time insight and metrics into the employee digital experience have become super critical with the workforce becoming much more distributed and remote. Now, combined with our synthetics for proactive alerting, our customers get the best of both worlds further accelerating their digital transformation.”
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
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 ...