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[release-1.10] Update autoscaling-metrics.md for modifications (#5585) 

* Update autoscaling-metrics.md for modifications

* Update autoscaling-metrics.md

---------

Co-authored-by: achiverram28 <97288756+achiverram28@users.noreply.github.com>
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docs/serving/autoscaling/autoscaling-metrics.md
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@ -15,11 +15,11 @@ The possible metric types that can be configured per revision depend on the type
For more information about KPA and HPA, see the documentation on [Supported Autoscaler types](autoscaler-types.md).
* **Per-revision annotation key:** `autoscaling.knative.dev/metric`
* **Possible values:** `"concurrency"`, `"rps"`, `"cpu"`, `"memory"` or any custom metric name, depending on your Autoscaler type. The `"cpu"`, `"memory"`, and `"custom"` metrics are only supported on revisions that use the HPA class.
* **Possible values:** `"concurrency"`, `"rps"`, `"cpu"`, `"memory"` or any custom metric name, depending on your Autoscaler type. The `"cpu"`, `"memory"`, and custom metrics are supported on revisions that use the HPA class.
* **Default:** `"concurrency"`
=== "Per-revision concurrency configuration"
=== "Concurrency"
```yaml
apiVersion: serving.knative.dev/v1
@ -34,7 +34,7 @@ For more information about KPA and HPA, see the documentation on [Supported Auto
autoscaling.knative.dev/metric: "concurrency"
```
=== "Per-revision rps configuration"
=== "Requests per second"
```yaml
apiVersion: serving.knative.dev/v1
@ -49,7 +49,7 @@ For more information about KPA and HPA, see the documentation on [Supported Auto
autoscaling.knative.dev/metric: "rps"
```
=== "Per-revision cpu configuration"
=== "CPU"
```yaml
apiVersion: serving.knative.dev/v1
@ -65,7 +65,7 @@ For more information about KPA and HPA, see the documentation on [Supported Auto
autoscaling.knative.dev/metric: "cpu"
```
=== "Per-revision memory configuration"
=== "Memory"
```yaml
apiVersion: serving.knative.dev/v1
@ -81,7 +81,7 @@ For more information about KPA and HPA, see the documentation on [Supported Auto
autoscaling.knative.dev/metric: "memory"
```
=== "Per-revision custom metric configuration"
=== "Custom metric"
You can create an HPA to scale the revision by a metric that you specify.
The HPA will be configured to use the **average value** of your metric over all the Pods of the revision.