Usage Heat Map

The Desktop Pools -> Usage Heat Map feature enables IT admins to understand the usage patterns of a pool of cloud desktops across different times and days of the week. This feature displays data in a heat map format, highlighting peak and off-peak periods. This helps the IT admins to manage resources efficiently and make data-driven decisions regarding desktop provisioning. 

Use Cases for IT Administrators 

  1. Optimizing Resource Allocation for Peak Usage Hours 

The IT team needs to ensure that sufficient desktops are available for users logging in during peak business hours. Using the heat map, admins can identify peak usage hours (e.g., 9 AM - 12 PM) and provision additional desktops to meet demand. This reduces login wait times during peak hours, enhancing user satisfaction and productivity. 

  1. Reducing Resource Costs During Off-Peak Hours 

The IT admins can use the usage heat map to minimize costs by reducing the number of active desktops during off-peak hours. By identifying hours with low usage (e.g., late evenings or early mornings), admins can configure the pool to scale down resources automatically during these periods. Thus, saving on cloud infrastructure costs by reducing desktop availability during low-demand times. 

  1. Scheduling Maintenance During Low-Usage Times 

The IT admins can use this feature to schedule maintenance without affecting user productivity. The heat map shows the least busy times of the day, allowing IT to plan maintenance during periods when fewer users are logged in 

  1. Scaling Resources for Seasonal Peak Usage Trends 

In some periods, the company may have higher values of desktop usage, for example, in the calculated revenue quarter when employees work more hours on important project. Such trends can be observed in the heat map and may aid administrators in the future by addressing them proactively. It will help to ensure that the numbers are in the right place to help in engagement critical to the success of the business. 

  1. End Users’ Experience with Self Provisioning 

Let’s say IT admins receives user feedback that suggests a delay in desktop availability during peak times especially for Non-Persistent pools. The heat map highlights times when desktop availability may be insufficient to meet demand. Admins can pre-provision desktops just before peak hours, reducing wait times.