Increase performance analytics

Improve user experience, application performance and infrastructure visibility

It can be difficult for IT to determine the root cause of application performance issues, especially when using several disparate tools to manage performance across virtual apps and desktops, SaaS applications, mobile and native apps, and other content collaboration solutions. Using a number of different tools adds an unmanageable level of complexity to purchasing, licensing, deployment, updates, and upgrades—not to mention to the IT admin experience. By operating in break/fix mode, it’s challenging to get ahead of issues, let alone prevent them altogether. Missing is end-to-end visibility across your environment and direct user experience feedback. Today’s environment requires a single view that provides end-to-end visibility across apps, networks and infrastructure, giving IT the data needed to quickly respond to poorly-performing areas affecting their end users.

Learn how

Get a consolidated view of Citrix Virtual Apps and Desktops performance based on user sessions. For on-premises customers, measure the health of a single site or multiple sites. Citrix can provide comprehensive visibility into ICA traffic channels, Citrix Gateway and HDX information to deliver end-to-end performance insights.

Quantify the in-app end-user experience 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 via Citrix HDX Insights and Citrix Director. Easily identify groups of users experiencing poor performance.

Gain visibility into VDA performance for a given site or across multiple sites. Reveal trend data and insights into available and unusable VDAs over a period of time. Confirm that your capacity management strategy is meeting your performance goals. Adjust underlying resources to maximize performance and help plan future needs.

Citrix product

Citrix Analytics

  • Gain visibility to end-to-end performance insights
  • Easily identify groups of users experience poor performanace with ML