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Author: johndowns

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

@@ -1,17 +1,25 @@
+---
+ title: include file
+ description: include file
+ author: anaharris-ms
+ ms.service: azure
+ ms.topic: include
+ ms.date: 1/7/2025
+ ms.author: anaharris
+ ms.custom: include file
+---
 
+To prepare for availability zone failure, consider *over-provisioning* the capacity of your service. Over-provisioning allows the solution to tolerate some degree of capacity loss and still continue to function without degraded performance. 
 
-
-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. 
-
-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.
+To find out how many instances to over-provision, it's important to know that the platform spreads instances across multiple zones. You need to account for at least the failure of one zone.
 
 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.
+>The following table assumes that you're using three availability zones. If you use a different number of availability zones, adjust the formula accordingly.
 
 | Peak workload instance count | Factor of  [(zones/(zones-1)]|Formula| Instances to provision (Rounded) |
 |-------|---------|---------|--------|