Update fhir-service-autoscale.md

Author: EXPEkesheth

articles/healthcare-apis/fhir/fhir-service-autoscale.md

@@ -13,23 +13,23 @@ ms.author: kesheth
 
 Azure Health Data Services provides a managed service for persisting FHIR-compliant healthcare data and interacting with it securely through the API service endpoint. 
 
-Autoscaling is a capability to dynamically scale your FHIR service based on the load reported. The FHIR service in Azure Health Data Services provides the built-in autoscale capability and the process is automated. The capability provides elasticity and enables provisioning of additional instances for customers FHIR service on demand.
-
-The autoscaling feature adjusts computing resources automatically to optimize service scalability. There's no action required from customers.
+Autoscaling is a capability to dynamically scale FHIR service based on the load reported. The FHIR service in Azure Health Data Services provides the built-in autoscaling capability and the process is automated. This capability provides elasticity and enables provisioning of additional instances for FHIR service customers on demand.
 
 The autoscaling feature for FHIR service is available in all regions where the FHIR service is supported.
 > [!NOTE]
 > Autoscaling feature is subject to the resources availability in Azure regions.
 
+The autoscaling feature adjusts computing resources automatically to optimize service scalability. There's no action required from customers.
+
 ## Autoscale at Compute level
 
 * Scaling Trigger
 
-Scaling Trigger describes when scaling of the service will be performed. Conditions that are defined in the trigger are checked periodically to determine     if a service should be scaled or not. All triggers that are currently supported are Average CPU, Max Worker Thread, Average LogWrite, Average data IO.
+Scaling Trigger describes when scaling of the service is performed. Conditions that are defined in the trigger are checked periodically to determine if a service should be scaled or not. All triggers that are currently supported are Average CPU, Max Worker Thread, Average LogWrite, Average data IO.
 
 * Scaling mechanism
 
-The scaling mechanism will only be applied if the trigger check determines that scaling is necessary. Additionally, the scaling trigger will not be evaluated again until the scaling interval has expired, which is set to one minute for FHIR service.
+The scaling mechanism is applied if the trigger check determines that scaling is necessary. Additionally, the scaling trigger won't be evaluated again until the scaling interval has expired, which is set to one minute for FHIR service.
 
 To ensure the best possible outcome, we recommend customers to gradually increase their request rate to match the expected push rate, rather than pushing all requests at once. 
 
@@ -41,7 +41,8 @@ The autoscaling feature incurs no extra costs to customers.
 
 ## Next steps
 
-In this article, you've learned about the FHIR service autoscaling feature in Azure Health Data Services, for more information about the FHIR service supported features, see
+In this article, you've learned about the FHIR service autoscaling feature in Azure Health Data Services.
+For more information about the FHIR service supported features, see
 
 >[!div class="nextstepaction"]
 >[Supported FHIR Features](fhir-features-supported.md)