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Author: anaharris-ms

articles/reliability/includes/reliability-over-provisioning-calculation-include.md

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-To prepare for availability zone failure, you should over-provision capacity of service. Over-provisioning allows the solution to tolerate 30% capacity loss and still continue to function without degraded performance. 
 
-Follow these steps to find out how many instances you should provision:
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+To prepare for availability zone failure, you should over-provision capacity of service. Over-provisioning allows the solution to tolerate capacity loss and still continue to function without degraded performance. 
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+To find out how many instances to over-provision, it's important to know that the platform spreads virtual machines across multiple zones and you need to account for at least the failure of one zone.
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+Follow these steps to find out the total number of instances you should provision:
 
 1. Determine the number of instances your peak workload requires. In this example, we use two scenarios. One is with 3 instances and one is with 4.
 2. Retrieve the over-provision instance count by multiplying the peak workload instance count by a factor of [(zones/(zones-1)]:
 
+>[!NOTE]
+>The following table assumes that the platform has three availability zones. If you have a different number of availability zones, adjust the formula accordingly.
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 | Peak workload instance count | Factor of  [(zones/(zones-1)]|Formula| Instances to provision (Rounded) |
 |-------|---------|---------|--------|
 |3|3/2 or 1.5|(3 x 1.5 = 4.5)|5 instances|