Merge pull request #299481 from PatAltimore/patricka-dataflow-size

Add profile configuration limit

Author: prmerger-automator[bot]

articles/iot-operations/connect-to-cloud/howto-configure-dataflow-profile.md

@@ -19,6 +19,8 @@ Data flow profiles can be used to group data flows together so that they share t
 
 The most important setting is the instance count. For a given data flow, the instance count determines the number of copies that run on your cluster. For example, you might have a data flow profile with a single instance for development and testing, and another profile with multiple instances for production. Or, you might use a data flow profile with low instance count for low-throughput data flows and a profile with high instance count for high-throughput data flows. Similarly, you can create a data flow profile with different diagnostic settings for debugging purposes.
 
+You should avoid associating too many data flows with a single data flow profile. If you have a large number of data flows, create multiple data flow profiles to reduce the risk of exceeding the data flow profile configuration size limit.
+
 ## Default data flow profile
 
 A data flow profile named *default* is created when Azure IoT Operations is deployed. You can use this data flow profile to get started with Azure IoT Operations.

articles/iot-operations/connect-to-cloud/howto-create-dataflow.md

@@ -56,7 +56,9 @@ You can deploy data flows as soon as you have an instance of [Azure IoT Operatio
 
 ### Data flow profile
 
-If you don't need different scaling settings for your data flows, use the [default data flow profile](./howto-configure-dataflow-profile.md#default-data-flow-profile) provided by Azure IoT Operations. To learn how to configure a new data flow profile, see [Configure data flow profiles](howto-configure-dataflow-profile.md).
+If you don't need different scaling settings for your data flows, use the [default data flow profile](./howto-configure-dataflow-profile.md#default-data-flow-profile) provided by Azure IoT Operations. You should avoid associating too many data flows with a single data flow profile. If you have a large number of data flows, distribute them across multiple data flow profiles to reduce the risk of exceeding the data flow profile configuration size limit.
+
+To learn how to configure a new data flow profile, see [Configure data flow profiles](howto-configure-dataflow-profile.md).
 
 ### Data flow endpoints