VMware has entered into a definitive agreement to acquire Wanova, a provider of intelligent desktop solutions that centralize and simplify the management of physical desktop images while enabling users to take advantage of the native performance of a PC.
“The acquisition of Wanova will bring together industry leading solutions for centralized image management of both physical and virtual desktops,” said Jeff Jennings, vice president, Enterprise Desktop, VMware.
“This combination has the potential to redefine the desktop virtualization landscape. By blurring the boundaries of virtual vs. physical desktops, the benefits of central image management and persistent user installed applications can be extended to all systems within a business – physical, virtual, tethered desktops, or roaming Mac and PC laptops.”
“Business requirements are constantly evolving and in turn, IT teams also need to evolve from managing devices towards managing user workspaces and experience across multiple devices. The combination of VMware and Wanova addresses this evolution in a unique and innovative way,” said Sebastiano Tevarotto, Chairman and CEO, Wanova. “We're excited to join VMware in enabling a more intelligent desktop infrastructure by providing centralized image management, but enabling those images to run where it makes sense for the user: in a VDI session, on a client hypervisor, or natively on a PC.”
Enterprises are dealing with two fundamental client computing pain points – providing secure access to an increasingly mobile workforce; and managing the burgeoning diversity of data, applications and devices needed to run their business. These challenges result from the transformative nature of cloud computing and the post-PC era which require a new way to work.
The VMware end-user computing portfolio seeks to free employees and IT organizations from more than two decades of complex, device-centric computing, and deliver a more user-centric experience for the connected enterprise. In this new model, organizations leverage hybrid cloud resources – while maintaining a managed, secure environment – to provide new ways for employees to collaborate across applications and data from any device.
The combination of VMware View and Wanova Mirage will enable IT organizations to offer a better user experience for employees and increased operational savings across all device types, by:
- Deploying Centralized, Single Image Management for Both Physical and Virtual Desktops –IT organizations will be able to automatically synchronize PC image updates/upgrades to all types of endpoints – physical virtual, tethered desktops, or roaming laptops (Mac and PC).
- Supporting Departmental and User Installed Applications – Advanced layering technology will enable the deployment of persistent departmental and/or user installed applications in centrally managed desktop images, providing every end user with a low cost personalized physical or virtual desktop.
- Gaining High Availability and Rapid Disaster Recovery – Image-syncing technology efficiently stores all elements of a user’s desktop image in a company’s private cloud for complete management and backup, while desktop streaming and layering technology enables quick recovery and repair services for all types of endpoints, even over WAN.
- Delivering Universal Access – Image-syncing and layering technology can enable universal access that facilitates seamless transitions between all types of endpoints – physical, virtual, tethered desktops, or roaming laptops (Mac or PC).
The Latest
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.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...