vCenter Operations vRealize Operations

Identifying capacity bottlenecks before and after CapacityIQ What-If scenario

Perhaps just a coincidence, but I got this question during two customer presentations this week – is there a way in vCenter CapacityIQ what-if scenarios to point out which resource is causing the capacity shortfall? In other words, is there a way to see which resource is the bottleneck before and after a what-if scenario is modelled?

Let’s walk through this use case in more details with some screenshots. Before you run a what-if scenario, vCenter CapacityIQ provides the time remaining information in two screens. First, you can see this in the CapacityIQ Dashboard.

 

Db_time_remaning 
You can see that CapacityIQ trends each resource independently and highlights the one with least time remaining as the potential bottleneck. In this case, I am likely to run out of storage in my small vSphere lab in 55 days.

You can see the same information in the “Virtual Machine Capacity – Summary” view, as shown below. I had to minimize few columns to fit the screen – check the last column.

 

View_time_remaning_pre-what_if_2 
Next let’s run a what-if scenario to add a new 500GB datastore – here’s the review screen just before finishing up the what-if scenario.

Add_storage_what_if 
Now, if you go back to “Virtual Machine Capacity – Summary” view, under the “Time Remaining” section, you will see the new resource bottleneck responsible for capacity shortfall.

 

View_time_remaning_post-what_if 

As you can see, storage is no longer the bottleneck after running the what-if scenario. Instead memory is the now the potential bottleneck for my vSphere lab – running out in 237 days. 

Hope this post shows how you can use the “Virtual Machine Capacity – Summary” view to understand capacity bottlenecks before and after a what-if scenario is modelled.