Skip to main content

Virtual Instruments Launches VirtualWisdom 4.3

Virtual Instruments announced enhancements to its VirtualWisdom solution, a vendor-agnostic platform that ensures performance for mission-critical enterprise applications spanning physical, virtual and cloud computing environments.

VirtualWisdom4.3 offers new software probes that support Microsoft Hyper-V and IBM PowerVM. It also includes enhanced Applied Analytics with the VM Coordinator to deliver end-to-end performance insights that accelerate business agility.

Virtual Instruments will also soon launch wire-data performance probes for Network Attached Storage (NAS) and Fibre Channel over Ethernet (FCoE) storage protocols.

In addition, Virtual Instruments introduced a flexible cloud delivery model for VirtualWisdom deployments, moving a customer’s platform appliance and data analytics to the cloud. With these new capabilities, Virtual Instruments is executing on its strategy to offer an end-to-end IPM platform that provides comprehensive insight into the performance and availability of any hypervisor, interconnect or data store.

By correlating and analyzing millions of data points across the entire infrastructure, VirtualWisdom 4.3 provides business leaders, IT operations and application teams with definitive answers to proactively optimize their systems. As a result, IT teams can spend less time troubleshooting and more time focusing on growing the business, enabling greater cross-department collaboration and increasing the value that IT delivers. VirtualWisdom ensures that global enterprises can prioritize company development and focus on future advancements with the confidence that their infrastructures are fully optimized and ready for new or expanded workloads.

“IT infrastructure isn’t just expanding in size. It’s growing in complexity, and we’re seeing an increasing desire among enterprise executives to manage and define challenging IT strategies on their own terms,” said Simon Robinson, Research VP at 451 Research. “Virtual Instruments supports this goal by building on its vendor-agnostic infrastructure performance management solution that doesn’t just tell you something is wrong, but instead tells you how to fix it. By analyzing such vast supplies of data from disparate sources, VirtualWisdom provides answers for even the most perplexing IT performance challenges and enables enterprise IT teams to leverage the true power and capability of their growing infrastructures.”

New capabilities include:

- ProbeVM for PowerVM, which provides greater insight into the virtualization stack to enable proper placement of workloads, as well as the intelligence needed to properly size the logical partitions (LPARs)

- ProbeVM for Hyper-V, which offers enhanced visibility into Hyper-V environments to rapidly diagnose the cause of application slowdowns and optimize VMs

- VM Coordinator analytic, which aggregates and analyzes historical virtual machine (VM) resource usage to eliminate overprovisioning and needless rebalancing, and instead organize virtual workloads most efficiently in the face of challenging migrations and demands for efficiency

- Cloud computing delivery model, which integrates an on-premise VirtualWisdom deployment with analytics pushed through the cloud to provide customers with the flexible options they need to support expanding company requirements, while keeping expenses and investments at a minimum

- Expanded storage protocol support, which incorporates new hardware performance probes for NAS and FCoE, ensuring enterprises incorporating diverse storage technologies that have wide-reaching critical insights into the holistic performance of their complex, heterogeneous systems

“Successful performance management centers on being proactive, and the new components of VirtualWisdom4.3 enable our customers to get ahead of looming performance issues,” said Barry Cooks, SVP of Products, Engineering and Support at Virtual Instruments. “Heterogeneous, multi-vendor IT infrastructures are the norm in enterprise IT, and our engineering team is committed to bringing our customers a solution that solves performance problems throughout the entire infrastructure ecosystem. Multi-hypervisor support, expanded analytics and our cloud delivery option combine to make VirtualWisdom4.3 a critical platform for a greater range of enterprises that are recognizing the role IPM can play in driving a business toward its higher level goals.”

VirtualWisdom4.3 is generally available with support for the cloud-based delivery model; NAS and FCoE hardware probes will be released later this year.

The Latest

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 ...

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.

Virtual Instruments Launches VirtualWisdom 4.3

Virtual Instruments announced enhancements to its VirtualWisdom solution, a vendor-agnostic platform that ensures performance for mission-critical enterprise applications spanning physical, virtual and cloud computing environments.

VirtualWisdom4.3 offers new software probes that support Microsoft Hyper-V and IBM PowerVM. It also includes enhanced Applied Analytics with the VM Coordinator to deliver end-to-end performance insights that accelerate business agility.

Virtual Instruments will also soon launch wire-data performance probes for Network Attached Storage (NAS) and Fibre Channel over Ethernet (FCoE) storage protocols.

In addition, Virtual Instruments introduced a flexible cloud delivery model for VirtualWisdom deployments, moving a customer’s platform appliance and data analytics to the cloud. With these new capabilities, Virtual Instruments is executing on its strategy to offer an end-to-end IPM platform that provides comprehensive insight into the performance and availability of any hypervisor, interconnect or data store.

By correlating and analyzing millions of data points across the entire infrastructure, VirtualWisdom 4.3 provides business leaders, IT operations and application teams with definitive answers to proactively optimize their systems. As a result, IT teams can spend less time troubleshooting and more time focusing on growing the business, enabling greater cross-department collaboration and increasing the value that IT delivers. VirtualWisdom ensures that global enterprises can prioritize company development and focus on future advancements with the confidence that their infrastructures are fully optimized and ready for new or expanded workloads.

“IT infrastructure isn’t just expanding in size. It’s growing in complexity, and we’re seeing an increasing desire among enterprise executives to manage and define challenging IT strategies on their own terms,” said Simon Robinson, Research VP at 451 Research. “Virtual Instruments supports this goal by building on its vendor-agnostic infrastructure performance management solution that doesn’t just tell you something is wrong, but instead tells you how to fix it. By analyzing such vast supplies of data from disparate sources, VirtualWisdom provides answers for even the most perplexing IT performance challenges and enables enterprise IT teams to leverage the true power and capability of their growing infrastructures.”

New capabilities include:

- ProbeVM for PowerVM, which provides greater insight into the virtualization stack to enable proper placement of workloads, as well as the intelligence needed to properly size the logical partitions (LPARs)

- ProbeVM for Hyper-V, which offers enhanced visibility into Hyper-V environments to rapidly diagnose the cause of application slowdowns and optimize VMs

- VM Coordinator analytic, which aggregates and analyzes historical virtual machine (VM) resource usage to eliminate overprovisioning and needless rebalancing, and instead organize virtual workloads most efficiently in the face of challenging migrations and demands for efficiency

- Cloud computing delivery model, which integrates an on-premise VirtualWisdom deployment with analytics pushed through the cloud to provide customers with the flexible options they need to support expanding company requirements, while keeping expenses and investments at a minimum

- Expanded storage protocol support, which incorporates new hardware performance probes for NAS and FCoE, ensuring enterprises incorporating diverse storage technologies that have wide-reaching critical insights into the holistic performance of their complex, heterogeneous systems

“Successful performance management centers on being proactive, and the new components of VirtualWisdom4.3 enable our customers to get ahead of looming performance issues,” said Barry Cooks, SVP of Products, Engineering and Support at Virtual Instruments. “Heterogeneous, multi-vendor IT infrastructures are the norm in enterprise IT, and our engineering team is committed to bringing our customers a solution that solves performance problems throughout the entire infrastructure ecosystem. Multi-hypervisor support, expanded analytics and our cloud delivery option combine to make VirtualWisdom4.3 a critical platform for a greater range of enterprises that are recognizing the role IPM can play in driving a business toward its higher level goals.”

VirtualWisdom4.3 is generally available with support for the cloud-based delivery model; NAS and FCoE hardware probes will be released later this year.

The Latest

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 ...

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.