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Workspot Watch Released

Workspot announced the unveiling of Workspot Watch™.

A cornerstone of the Workspot Center of Excellence (COE), Workspot Watch provides global, real-time observability for ensuring Cloud PC health.

This sophisticated data collection and observability system, long used by the Workspot Customer Success and Support teams to drive Workspot’s Net Promoter Score (NPS) of 80, now also provides IT teams with real-time visibility into Cloud PC availability and performance, as well as issues that can impact total cost of ownership (TCO) of the Cloud PC solution. These insights are now directly accessible by customer IT teams for their Cloud PC implementation.

Workspot Watch collects millions of messages from endpoints, gateways, Cloud PC agents, enterprise connectors and multiple clouds. Data is continuously collated from across thousands of locations around the globe. Customers benefit from having real-time visibility into connectivity disruptions, performance issues, and potential cost overruns. Once identified, IT teams can take advantage of distributed tracing tools to perform root-cause analysis of a problem. The distributed tracing capabilities in Workspot Watch bring a time-sequenced series of events happening globally into a single, chronologically- ordered feed for analysis. The feed includes configuration changes, alerts, log files, and updated information across sub-systems.

“Workspot Watch is unique in the industry – no other vendor can provide the breadth and depth of real-time activity patterns that inform Cloud PC health,” says Matthew Davidson, Field CTO and VP Customer Success for Workspot. “By exposing actionable output to our customers for their Cloud PC deployments, our Customer Success and Support teams are able to work even more collaboratively with our customers to identify and mitigate problems that may arise, with the goal of “never-fail” end-user computing.”

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Workspot Watch Released

Workspot announced the unveiling of Workspot Watch™.

A cornerstone of the Workspot Center of Excellence (COE), Workspot Watch provides global, real-time observability for ensuring Cloud PC health.

This sophisticated data collection and observability system, long used by the Workspot Customer Success and Support teams to drive Workspot’s Net Promoter Score (NPS) of 80, now also provides IT teams with real-time visibility into Cloud PC availability and performance, as well as issues that can impact total cost of ownership (TCO) of the Cloud PC solution. These insights are now directly accessible by customer IT teams for their Cloud PC implementation.

Workspot Watch collects millions of messages from endpoints, gateways, Cloud PC agents, enterprise connectors and multiple clouds. Data is continuously collated from across thousands of locations around the globe. Customers benefit from having real-time visibility into connectivity disruptions, performance issues, and potential cost overruns. Once identified, IT teams can take advantage of distributed tracing tools to perform root-cause analysis of a problem. The distributed tracing capabilities in Workspot Watch bring a time-sequenced series of events happening globally into a single, chronologically- ordered feed for analysis. The feed includes configuration changes, alerts, log files, and updated information across sub-systems.

“Workspot Watch is unique in the industry – no other vendor can provide the breadth and depth of real-time activity patterns that inform Cloud PC health,” says Matthew Davidson, Field CTO and VP Customer Success for Workspot. “By exposing actionable output to our customers for their Cloud PC deployments, our Customer Success and Support teams are able to work even more collaboratively with our customers to identify and mitigate problems that may arise, with the goal of “never-fail” end-user computing.”

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Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

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