ControlUp announced from Microsoft Ignite its enhanced support for Windows 365.
Capturing remote protocol telemetry, along with real-time monitoring of both the Cloud PC and connecting endpoint, ControlUp can now quickly identify and resolve end-to-end performance issues on Cloud PCs, ensuring a seamless user experience that boosts workforce productivity, reduces the cost of support, and helps further secure remote working.
“As market adoption for Windows 365 continues to accelerate, the need for deeper visibility and management into both the Cloud PC and the endpoint being used to connect to has grown,” said Simon Townsend, Senior Vice President of Marketing & Office of the CTO, ControlUp. “The ControlUp DEX platform now offers expanded real-time monitoring, automated remediation, remote control, protocol metrics and endpoint visibility for Cloud PCs, allowing enterprises to deliver an optimized employee experience for their Windows 365 Cloud PCs. The result is an exceptional Windows desktop experience that empowers employees to truly work when, where, and how they want without barriers.”
ControlUp’s expanded Windows 365 support continues to gather real-time data every three seconds from the Cloud PC. It utilizes the virtual channels to pass relevant metrics from the connecting endpoint back to the ControlUp platform so IT staff have end-to-end visibility of where and how employees are connecting to their Cloud PC. This allows IT to easily identify where potential experience issues may originate. Endpoint visibility includes device CPU usage and WiFi signal strength from remote clients, in addition to capturing application crashes, latency information, CPU, memory information (and more) from the Cloud PC.
ControlUp also provides additional capabilities which allow ControlUp metrics and management to be integrated into the Intune console to provide a “single pane of glass” for IT management.
“Windows 365 Cloud PCs are transforming how businesses manage their workforce by providing a flexible and secure cloud-based computing experience,” said Scott Manchester, Vice President of Product, Windows 365 and Azure Virtual Desktop at Microsoft. “With ControlUp’s enhanced DEX support, organizations can gain deeper visibility and real-time insights into their Cloud PCs, ensuring that IT teams can proactively manage performance and deliver a seamless user experience. This collaboration helps businesses drive greater efficiency while adapting to the evolving needs of the modern workplace.”
The Latest
In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...
Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...
Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...
As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...