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Merge pull request #227108 from EdB-MSFT/patch-6
Update autoscale-understanding-settings.md
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articles/azure-monitor/autoscale/autoscale-understanding-settings.md

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@@ -108,7 +108,7 @@ The table below describes the elements in the above autoscale setting's JSON.
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| profiles | capacity.maximum | Instance limits - Maximum |The maximum capacity allowed. It ensures that autoscale doesn't scale your resource above this number when executing the profile. |
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| profiles | capacity.minimum | Instance limits - Minimum |The minimum capacity allowed. It ensures that autoscale doesn't scale your resource below this number when executing the profile |
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| profiles | capacity.default | Instance limits - Default |If there's a problem reading the resource metric, and the current capacity is below the default, autoscale scales out to the default. This ensures the availability of the resource. If the current capacity is already higher than the default capacity, autoscale doesn't scale in. |
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| profiles | rules | Rules |Autoscale automatically scales between the maximum and minimum capacities, by using the rules in the profile. You can have multiple rules in a profile. Typically there are two rules: one to determine when to scale out, and the other to determine when to scale in. |
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| profiles | rules | Rules |Autoscale automatically scales between the maximum and minimum capacities, by using the rules in the profile. Define up to 10 individual rules in a profile. Typically rules are defined in pairs, one to determine when to scale out, and the other to determine when to scale in. |
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| rule | metricTrigger | Scale rule |Defines the metric condition of the rule. |
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| metricTrigger | metricName | Metric name |The name of the metric. |
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| metricTrigger | metricResourceUri | |The resource ID of the resource that emits the metric. In most cases, it is the same as the resource being scaled. In some cases, it can be different. For example, you can scale a Virtual Machine Scale Set based on the number of messages in a storage queue. |

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