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Xangati Announces New Release of XMD Suite

Xangati announced a new release of its Xangati Management Dashboard (XMD) virtualization and cloud suite.

The new release of the XMD includes capabilities that give enterprises and cloud service providers an advantage in performance assurance for virtualized and cloud infrastructures, delivering

- a comprehensive, continuous and high-precision performance management architecture now scalable to the cloud

- integrated performance and capacity management in one solution

- the ability to performance profile virtual desktop infrastructure (VDI) end-user activity without agents.

The new release of the XMD also allows organizations to quickly uncover cross-silo contention storms with multi-dimensional and linked alert recordings incorporated into Xangati’s flagship Performance Management Engine.

In addition, Xangati simultaneously announced that all of the new XMD functionality is immediately available at no cost through integration into its VI Dashboard and VDI Dashboard trial software and the Xangati for vSphere—Freesingle host tool. Administrators can download and use the free two-week trial within a critical cluster or Xangati’s free tool for a single vSphere host for instant insights on what contention storms are within their environment. Xangati’s software has revealed contention storms in more than 90 percent of its deployments.

“As large enterprises extend virtualization deployments and begin to rely on different cloud models, performance management solutions are falling short in their ability to manage the dynamic nature of these shared environments,” said Alan Robin, CEO of Xangati. “The management capabilities that we’re delivering today fill an immediate need to dramatically improve performance assurance for cloud environments which are plagued by chronic, intermittent contention storms.”

XMD features the following new capabilities:

Cloud-Scale Performance Management Engine - An 8-fold increase in the scale of environments which Xangati’s patented in-memory performance management engine will cover – without any trade off in precision:

- delivering second-by-second precision in data collection, collation, analysis and alerts to immediately reveal areas of contention

- merging of automated performance profiling techniques with best practice thresholds to uncover multi-dimensional contention storms

- linked alert recordings which further accelerate time to resolution

- maintaining full functionality and ease-of-use of the XMD 360 navigational user interface

VDI End-User Based Performance Profiling for VMware and Citrix - The ability to monitor and track the end user to VM activity without guest agents:

- giving managers an accurate way to tie user behavior to performance for the very first time

- delivering the only solution with both VMware and Citrix connection broker API integration (with direct interaction with ViewConnection Manager and Desktop Delivery Controller)

- establishing user performance profiles with the highest possible precision by tracking actual activity versus assessment models

- alerting the service desk when ‘normal’ user activity changes

- allowing frictionless scalability for future growth with an agentless model

Additionally, new enhancements have been added to support cross-functional IT teams, with focused dashboards and automated alerts now integrated for the storage team, giving storage admins the ability to track and obtain deeper insights into datastore performance health down to the LUN level.

Xangati for vSphere—Free is also available immediately and includes all of the functionality in the XMD suite for a single vSphere host. Xangati’s offering spans network, storage, server, desktops, clients and applications.

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Xangati Announces New Release of XMD Suite

Xangati announced a new release of its Xangati Management Dashboard (XMD) virtualization and cloud suite.

The new release of the XMD includes capabilities that give enterprises and cloud service providers an advantage in performance assurance for virtualized and cloud infrastructures, delivering

- a comprehensive, continuous and high-precision performance management architecture now scalable to the cloud

- integrated performance and capacity management in one solution

- the ability to performance profile virtual desktop infrastructure (VDI) end-user activity without agents.

The new release of the XMD also allows organizations to quickly uncover cross-silo contention storms with multi-dimensional and linked alert recordings incorporated into Xangati’s flagship Performance Management Engine.

In addition, Xangati simultaneously announced that all of the new XMD functionality is immediately available at no cost through integration into its VI Dashboard and VDI Dashboard trial software and the Xangati for vSphere—Freesingle host tool. Administrators can download and use the free two-week trial within a critical cluster or Xangati’s free tool for a single vSphere host for instant insights on what contention storms are within their environment. Xangati’s software has revealed contention storms in more than 90 percent of its deployments.

“As large enterprises extend virtualization deployments and begin to rely on different cloud models, performance management solutions are falling short in their ability to manage the dynamic nature of these shared environments,” said Alan Robin, CEO of Xangati. “The management capabilities that we’re delivering today fill an immediate need to dramatically improve performance assurance for cloud environments which are plagued by chronic, intermittent contention storms.”

XMD features the following new capabilities:

Cloud-Scale Performance Management Engine - An 8-fold increase in the scale of environments which Xangati’s patented in-memory performance management engine will cover – without any trade off in precision:

- delivering second-by-second precision in data collection, collation, analysis and alerts to immediately reveal areas of contention

- merging of automated performance profiling techniques with best practice thresholds to uncover multi-dimensional contention storms

- linked alert recordings which further accelerate time to resolution

- maintaining full functionality and ease-of-use of the XMD 360 navigational user interface

VDI End-User Based Performance Profiling for VMware and Citrix - The ability to monitor and track the end user to VM activity without guest agents:

- giving managers an accurate way to tie user behavior to performance for the very first time

- delivering the only solution with both VMware and Citrix connection broker API integration (with direct interaction with ViewConnection Manager and Desktop Delivery Controller)

- establishing user performance profiles with the highest possible precision by tracking actual activity versus assessment models

- alerting the service desk when ‘normal’ user activity changes

- allowing frictionless scalability for future growth with an agentless model

Additionally, new enhancements have been added to support cross-functional IT teams, with focused dashboards and automated alerts now integrated for the storage team, giving storage admins the ability to track and obtain deeper insights into datastore performance health down to the LUN level.

Xangati for vSphere—Free is also available immediately and includes all of the functionality in the XMD suite for a single vSphere host. Xangati’s offering spans network, storage, server, desktops, clients and applications.

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 ...