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SolarWinds Extends Virtualization Monitoring and Visibility from Application to Datastore

SolarWinds announced its virtualization management solution, SolarWinds Virtualization Manager, now integrates with SolarWinds Server & Application Monitor (SAM), providing comprehensive monitoring and visibility for the entire virtualized application stack – applications, virtual machines (VMs), hosts, clusters and datastores.

SolarWinds Virtualization Manager delivers comprehensive virtualization management from VM to datastore, including VMware vSphere and Microsoft Hyper-V capacity planning, performance monitoring, VM sprawl control, configuration management, and chargeback automation.

Using the new integration with SolarWinds SAM, users can get an integrated view of the virtualized application stack including automatic slices of the virtual infrastructure supporting a given application or from the other side, the ability to see what applications are hitting a given virtual resource.

The virtualization admin can also instantly see what applications are dependent on a given virtual resource to ensure that issues are addressed before problems occur, avoiding finger-pointing across domains.

Unlike virtualization management solutions that can’t see beyond the hypervisor, SolarWinds Virtualization Manager’s new virtualized application stack management provides a next generation of management solutions.

Working across technology silos to manage the software-defined or virtualized data center, SolarWinds Virtualization Manager enables IT pros to quickly answer:

- Why is my application slow?

- Which of my datastores are busiest?

- Do I have any CPU/memory/storage capacity I can reclaim?

- What VMs and apps are on this datastore?

In addition, SolarWinds Virtualization Manager now supports virtual storage management for the latest versions of Microsoft Hyper-V and VMware vSphere hypervisors.

SolarWinds Virtualization Manager Highlights:

- Real-time dashboards for simplified forecasting, detection, and troubleshooting of performance problems and capacity bottlenecks

- Proactive VM capacity planning and monitoring including “what-if” scenario modeling

- VM sprawl identification to help reclaim and optimize space and reduce licensing costs

- Tracking and identification of VM and host configurations over time

- SolarWinds SAM integration provides users with end-to-end mapping and application-specific infrastructure views to simplify troubleshooting and performance management

- SolarWinds Network Performance Monitor offers users enhanced virtualization metrics, simplified navigation and single-pane-of-glass data for virtualization, network, application, and storage performance

- SolarWinds Storage Manager integration offers users visibility into the virtualization environment down through the datastore, LUN and storage hardware

Related Links:

SolarWinds Virtualization Manager free 30-day evaluation trial

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 ...

SolarWinds Extends Virtualization Monitoring and Visibility from Application to Datastore

SolarWinds announced its virtualization management solution, SolarWinds Virtualization Manager, now integrates with SolarWinds Server & Application Monitor (SAM), providing comprehensive monitoring and visibility for the entire virtualized application stack – applications, virtual machines (VMs), hosts, clusters and datastores.

SolarWinds Virtualization Manager delivers comprehensive virtualization management from VM to datastore, including VMware vSphere and Microsoft Hyper-V capacity planning, performance monitoring, VM sprawl control, configuration management, and chargeback automation.

Using the new integration with SolarWinds SAM, users can get an integrated view of the virtualized application stack including automatic slices of the virtual infrastructure supporting a given application or from the other side, the ability to see what applications are hitting a given virtual resource.

The virtualization admin can also instantly see what applications are dependent on a given virtual resource to ensure that issues are addressed before problems occur, avoiding finger-pointing across domains.

Unlike virtualization management solutions that can’t see beyond the hypervisor, SolarWinds Virtualization Manager’s new virtualized application stack management provides a next generation of management solutions.

Working across technology silos to manage the software-defined or virtualized data center, SolarWinds Virtualization Manager enables IT pros to quickly answer:

- Why is my application slow?

- Which of my datastores are busiest?

- Do I have any CPU/memory/storage capacity I can reclaim?

- What VMs and apps are on this datastore?

In addition, SolarWinds Virtualization Manager now supports virtual storage management for the latest versions of Microsoft Hyper-V and VMware vSphere hypervisors.

SolarWinds Virtualization Manager Highlights:

- Real-time dashboards for simplified forecasting, detection, and troubleshooting of performance problems and capacity bottlenecks

- Proactive VM capacity planning and monitoring including “what-if” scenario modeling

- VM sprawl identification to help reclaim and optimize space and reduce licensing costs

- Tracking and identification of VM and host configurations over time

- SolarWinds SAM integration provides users with end-to-end mapping and application-specific infrastructure views to simplify troubleshooting and performance management

- SolarWinds Network Performance Monitor offers users enhanced virtualization metrics, simplified navigation and single-pane-of-glass data for virtualization, network, application, and storage performance

- SolarWinds Storage Manager integration offers users visibility into the virtualization environment down through the datastore, LUN and storage hardware

Related Links:

SolarWinds Virtualization Manager free 30-day evaluation trial

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 ...