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

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ms.service: azure-iot-operations
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ms.subservice: azure-data-flows
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ms.topic: how-to
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ms.date: 04/09/2025
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ms.date: 05/07/2025
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#CustomerIntent: As an operator, I want to understand how to I can configure a a data flow profile to control a data flow behavior.
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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.
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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 configuration size limit.
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## Default data flow profile
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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

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ms.service: azure-iot-operations
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ms.subservice: azure-data-flows
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ms.topic: how-to
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ms.date: 04/03/2025
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ms.date: 05/07/2025
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ai-usage: ai-assisted
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#CustomerIntent: As an operator, I want to understand how to create a data flow to connect data sources.
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### Data flow profile
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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).
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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, create multiple data flow profiles to reduce the risk of exceeding the data flow configuration size limit.
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To learn how to configure a new data flow profile, see [Configure data flow profiles](howto-configure-dataflow-profile.md).
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### Data flow endpoints
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