Citrix is excited to introduce performance analytics for Citrix Virtual Apps and Desktops!

This is a new area of focus for Citrix Analytics where sophisticated machine learning is being applied to solve some challenging issues Citrix IT administrators face. For example, the difficulty in determining the root cause of performance issues across virtual infrastructure and how it impacts users.

With security analytics, we introduced user risk scores. In a similar vein, we’re applying user experience risk scores to help Citrix admins quickly uncover impacted users and drill down into root cause analytics. With Citrix Analytics, a consolidated view of Citrix Virtual Apps and Desktops performance based on user sessions is displayed. For on-premises customers, the health of a single site can be measured or broken out by multiple sites.

Citrix Analytics will quantify the in-app end-user experience (UX) by session, with classifications of “Excellent,” “Fair,” or “Poor.” The Citrix Analytics machine learning (ML) engine uncovers performance degradation by monitoring network latency and logon duration thresholds. Admins will be able to easily identify groups of users experiencing poor performance.

By using the UX scores to correlate infrastructure availability to actual experience, admins can confirm that their capacity-management strategy is meeting their performance goals. In turn, admins can adjust underlying resources to maximize performance and help plan future needs.

Here’s a brief look at how the new performance analytics will look in Citrix Analytics.

Figure 1

In Figure 1, we see an aggregate view of all of our Citrix Virtual Apps and Desktops sites (in this case, Ft. Lauderdale, Nanjing, and Raleigh) with 650 total users. Listed on the right side of the screen are the categories that affect user experience (e.g. logon duration, ICA RTT, etc.).

Figure 2

In Figure 2, we highlight the 80 users, based on their UX score, that are in the green zone. Others are in the red or orange area, which suggests that a deeper review is needed.

Figure 3

Figure 3 shows that 50 users are having a poor experience.

Figure 4

Figure 4 shows how admins can drill down on the poor experience users and get a better understanding of possible root causes. In this case, there is a possible issue with Group Policy Objects (GPOs).

Figure 5

Figure 5 shows more detail on the sub-factors causing poor user experience.

Figure 6

Figure 6 shows a listing of impacted users.

With performance analytics delivered in Citrix Analytics, the goal is to enable Citrix administrators with the ability quickly sort out trouble spots and mitigate them to provide the best user experience possible. By aggregating individual user scores, trends and hot spots can be detected to help pinpoint potential trouble spots. We look forward to getting this in your hands in the coming weeks.

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