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SolarWinds Virtualization Manager 7 Released

SolarWinds announced SolarWinds Virtualization Manager 7.

With this latest release, SolarWinds Virtualization Manager goes to the forefront of virtualization management by offering the capability to analyze and act on historical trends, respond to active issues and prevent future problems through predictive analytics from a single console.

“There are three primary functions needed to effectively manage any virtual environment: analyzing usage trends and patterns to reclaim resources, troubleshooting current problems and analyzing historical trends to optimize environments for future behavior of key workloads,” said Gerardo Dada, VP, Product Marketing, SolarWinds. “Other tools may do some combination of these three functions, but none do all three in a way that’s easy to use, simple to understand and affordable. SolarWinds Virtualization Manager 7 with actionable intelligence is the one tool IT departments can use to meet all three needs, and it does so while integrating with the SolarWinds Orion Platform to provide context all the way from the application to storage layers in a way no one else can.”

SolarWinds Virtualization Manager 7 continuously evaluates environments and workload patterns; recommends actions to fix and prevent issues; and, after confirmation by an administrator, applies fixes immediately or allows them to be scheduled for a more convenient time.

For example, historically, most virtual environment issues that triggered an alert, such as an overprovisioned virtual machine, required a manual resolution. With this update, not only can administrators now take action to help solve current virtualization issues from within SolarWinds Virtualization Manager, but they can also schedule future automated changes based on predictive recommendations to proactively address potential issues before they occur.

With these new features, SolarWinds Virtualization Manager is ideal for both novice and expert administrators tasked with managing virtual environments, allowing them to reclaim productivity by being proactive with their virtual environment optimization.

SolarWinds Virtualization Manager Highlights

· Integrated VMware and Microsoft Hyper-V capacity planning, performance monitoring, virtual machine sprawl control, virtual desktop infrastructure performance monitoring, configuration management, alert remediation and chargeback automation.

· Active and predictive recommendations to correct existing issues and proactively make changes to prevent potential future issues with a single click.

· Integration with the SolarWinds Orion Platform, virtual resource performance data to be incorporated with data from SolarWinds Server & Application Monitor, SolarWinds Storage Resource Monitor, SolarWinds Database Performance Analyzer and SolarWinds Web Performance Monitor into the platform’s Application Stack Environment View

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 ...

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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.

SolarWinds Virtualization Manager 7 Released

SolarWinds announced SolarWinds Virtualization Manager 7.

With this latest release, SolarWinds Virtualization Manager goes to the forefront of virtualization management by offering the capability to analyze and act on historical trends, respond to active issues and prevent future problems through predictive analytics from a single console.

“There are three primary functions needed to effectively manage any virtual environment: analyzing usage trends and patterns to reclaim resources, troubleshooting current problems and analyzing historical trends to optimize environments for future behavior of key workloads,” said Gerardo Dada, VP, Product Marketing, SolarWinds. “Other tools may do some combination of these three functions, but none do all three in a way that’s easy to use, simple to understand and affordable. SolarWinds Virtualization Manager 7 with actionable intelligence is the one tool IT departments can use to meet all three needs, and it does so while integrating with the SolarWinds Orion Platform to provide context all the way from the application to storage layers in a way no one else can.”

SolarWinds Virtualization Manager 7 continuously evaluates environments and workload patterns; recommends actions to fix and prevent issues; and, after confirmation by an administrator, applies fixes immediately or allows them to be scheduled for a more convenient time.

For example, historically, most virtual environment issues that triggered an alert, such as an overprovisioned virtual machine, required a manual resolution. With this update, not only can administrators now take action to help solve current virtualization issues from within SolarWinds Virtualization Manager, but they can also schedule future automated changes based on predictive recommendations to proactively address potential issues before they occur.

With these new features, SolarWinds Virtualization Manager is ideal for both novice and expert administrators tasked with managing virtual environments, allowing them to reclaim productivity by being proactive with their virtual environment optimization.

SolarWinds Virtualization Manager Highlights

· Integrated VMware and Microsoft Hyper-V capacity planning, performance monitoring, virtual machine sprawl control, virtual desktop infrastructure performance monitoring, configuration management, alert remediation and chargeback automation.

· Active and predictive recommendations to correct existing issues and proactively make changes to prevent potential future issues with a single click.

· Integration with the SolarWinds Orion Platform, virtual resource performance data to be incorporated with data from SolarWinds Server & Application Monitor, SolarWinds Storage Resource Monitor, SolarWinds Database Performance Analyzer and SolarWinds Web Performance Monitor into the platform’s Application Stack Environment View

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.