Epic Hospital Reduces Logon Times by 80%
Download the Complete Guide to Understanding the Citrix Logon Process
Figure 2 – The Logon Stage Details section of the Logon tab is unique to Goliath Performance Monitor. It presents a granular breakdown of the login process by combining all of the above metrics with information included in the Goliath logs. This approach saves time and testing efforts by highlighting specific details during the login process that an administrator would normally have to dig through logs and other areas to obtain.
In two clicks, the Citrix engineer was able to both confirm the issue and pinpoint root cause by identifying the exact Delivery Controllers involved in the client validation process. The specific detail provided – including the specific Citrix XenApp delivery controller involved, focused troubleshooting on the true root cause of the problem. The team realized this problem could be solved – and prevented in the future — by allocating more memory to the specific Citrix XenApp Delivery Controllers during the busy logon hours in the morning.
The New Posture of Proactive Alerting Before End Users Are Impacted:
After making this change, the system showed a reduction of logon times by over 80% during early morning shift hours when most of the Citrix logon traffic occurred. In addition, proactive alerts were set to trigger based on both logon time length as well as memory utilization for the Delivery Controllers involved. This means that if these thresholds are breached in the future, IT will receive an alert and take corrective action before users are impacted.
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