Skip to content

Commit 81eef38

Browse files
committed
edit
1 parent 853a28e commit 81eef38

File tree

2 files changed

+12
-14
lines changed

2 files changed

+12
-14
lines changed
Lines changed: 11 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
1+
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.
2+
3+
Follow these steps to find out how many instances you should provision:
4+
5+
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.
6+
2. Retrieve the over-provision instance count by multiplying the peak workload instance count by a factor of [(zones/(zones-1)]:
7+
8+
| Peak workload instance count | Factor of [(zones/(zones-1)]|Formula| Instances to provision (Rounded) |
9+
|-------|---------|---------|--------|
10+
|3|3/2 or 1.5|(3 x 1.5 = 4.5)|5 instances|
11+
|4|3/2 or 1.5|(4 x 1.5 = 4.5)|6 instances|

articles/reliability/reliability-logic-apps.md

Lines changed: 1 addition & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -171,20 +171,7 @@ Consumption logic app workflows automatically support zone redundancy, so no con
171171

172172
### Capacity planning and management
173173

174-
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.
175-
176-
To calculate how many instances to over-provision, it's important to know that the platform spreads VMs across three zones and you need to account for at least the failure of one zone.
177-
178-
Follow these steps to find out how many instances you should provision:
179-
180-
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.
181-
2. Retrieve the over-provision instance count by multiplying the peak workload instance count by a factor of [(zones/(zones-1)]:
182-
183-
| Peak workload instance count | Factor of [(zones/(zones-1)]|Formula| Instances to provision (Rounded) |
184-
|-------|---------|---------|--------|
185-
|3|3/2 or 1.5|(3 x 1.5 = 4.5)|5 instances|
186-
|4|3/2 or 1.5|(4 x 1.5 = 4.5)|6 instances|
187-
174+
[!INCLUDE [Over-provisioning description](includes/reliability-over-provisoning-calculation-include.md)]
188175

189176
::: zone-end
190177

0 commit comments

Comments
 (0)