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.