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Xangati Introduces VDI Dashboard

Xangati, a provider of infrastructure performance management, introduced the Xangati VDI Dashboard, designed to track all key infrastructure components that affect VDI performance, giving administrators the confidence and ability to successfully implement large-scale VDI deployments.

Leveraging Xangati’s real-time memory-based analytics engine architecture, the Xangati VDI Dashboard tracks and continuously monitors activity of all VDI components within the infrastructure without requiring any agents.

The new dashboard also includes a performance health engine that automatically and visually alerts administrators in real-time about the precise location of performance issues.

By providing a solution that covers components in and outside of the virtual infrastructure (VI), the Xangati VDI Dashboard gives administrators “cross silo” awareness into all critical elements linked to – including clients, desktops, networks, servers, storage, applications and VDI protocols – which ultimately provides a positive VDI user experience.

Through relationships and support from VMware and Citrix, Xangati has designed the Xangati VDI Dashboard to fully complement both VMware View and Citrix XenDesktop environments.

The cornerstone of the Xangati VDI Dashboard is its patent-pending performance health engine that analyzes the health of VDI in an unprecedented four microseconds. Relying on Xangati’s memory-driven architecture, the performance health of the VDI is being continuously monitored across a broad spectrum of performance metrics to the unrivaled scale of 250,000 objects (which can include desktops and clients).

The output of Xangati’s performance health engine is a real-time health index that is linked to the health of every client, desktop, network link, host, VDI protocol and IT server that can impact VDI end–user experience. In real-time – as an object’s health shifts – the health index changes to reflect the urgency of the performance issue. Moreover, the performance shift will trigger a real-time alert, which is uniquely paired with a DVR-recording.

The DVR-recording will show where the performance problem stems from and present contextual insights about what is driving the sub-optimal performance.

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Xangati Introduces VDI Dashboard

Xangati, a provider of infrastructure performance management, introduced the Xangati VDI Dashboard, designed to track all key infrastructure components that affect VDI performance, giving administrators the confidence and ability to successfully implement large-scale VDI deployments.

Leveraging Xangati’s real-time memory-based analytics engine architecture, the Xangati VDI Dashboard tracks and continuously monitors activity of all VDI components within the infrastructure without requiring any agents.

The new dashboard also includes a performance health engine that automatically and visually alerts administrators in real-time about the precise location of performance issues.

By providing a solution that covers components in and outside of the virtual infrastructure (VI), the Xangati VDI Dashboard gives administrators “cross silo” awareness into all critical elements linked to – including clients, desktops, networks, servers, storage, applications and VDI protocols – which ultimately provides a positive VDI user experience.

Through relationships and support from VMware and Citrix, Xangati has designed the Xangati VDI Dashboard to fully complement both VMware View and Citrix XenDesktop environments.

The cornerstone of the Xangati VDI Dashboard is its patent-pending performance health engine that analyzes the health of VDI in an unprecedented four microseconds. Relying on Xangati’s memory-driven architecture, the performance health of the VDI is being continuously monitored across a broad spectrum of performance metrics to the unrivaled scale of 250,000 objects (which can include desktops and clients).

The output of Xangati’s performance health engine is a real-time health index that is linked to the health of every client, desktop, network link, host, VDI protocol and IT server that can impact VDI end–user experience. In real-time – as an object’s health shifts – the health index changes to reflect the urgency of the performance issue. Moreover, the performance shift will trigger a real-time alert, which is uniquely paired with a DVR-recording.

The DVR-recording will show where the performance problem stems from and present contextual insights about what is driving the sub-optimal performance.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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