Add mslearn primer link in the app scalersection

docs/deployment/considerations_production.md

@@ -10,7 +10,7 @@ These recommendations offer options for load balancing and high availability, ca
 
 **Consideration:** As the load on the App Server increases, scaling becomes crucial to handle varying levels of traffic efficiently.
 
-**Recommendation:** Refer to the Azure [Autoscaling documentation](/docs/deployment/autoscale_sku.md) to set up dynamic scaling based on demand. Configure autoscaling rules to automatically adjust the number of instances in response to changes in load. You can also adjust the sku to scale vertically and adjust the number of workers in the app server. Alternatively, you could  consider deploying the App to a container orchestration platform like Azure Kubernetes Service (AKS) for management and scaling.
+**Recommendation:** Learn more about Azure Monitor based app service scaling [here](https://learn.microsoft.com/en-us/azure/app-service/manage-automatic-scaling?tabs=azure-portal). Alternatively, you can modify the existing Auto scaling rules. See this documentation on the explanation of the [existing auto scaling rules](/docs/deployment/autoscale_sku.md). Configure autoscaling rules to automatically adjust the number of instances in response to changes in load. You can also adjust the sku to scale vertically and adjust the number of workers in the app server. Alternatively, you could  consider deploying the App to a container orchestration platform like Azure Kubernetes Service (AKS) for management and scaling.
 
 ### App Gateway
 **Consideration:** Ensure App Gateway handles increased traffic and maintains high availability. Learn more about App Gateway [here](https://learn.microsoft.com/en-us/azure/application-gateway/overview).