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articles/iot-operations/develop/concept-about-distributed-apps.md

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#CustomerIntent: As an developer, I want understand how to develop highly available distributed applications for my IoT Operations solution.
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# Develop highly available applications using Azure IoT MQ Preview
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# Develop highly available applications with Azure IoT MQ Preview
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[!INCLUDE [public-preview-note](../includes/public-preview-note.md)]
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articles/iot-operations/develop/concept-about-state-store-protocol.md

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[!INCLUDE [public-preview-note](../includes/public-preview-note.md)]
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The MQ state store is a distributed storage system within the Azure IoT Operations Preview cluster. The state store offers the same high availability guarantees as MQTT messages in Azure IoT MQ Preview. According to the MQTT5/RPC protocol guidelines, clients should use MQTT5 to interact with the MQ state store. This article provides protocol guidance for developers who need to implement their own Azure IoT MQ state store clients.
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The MQ state store is a distributed storage system within the Azure IoT Operations cluster. The state store offers the same high availability guarantees as MQTT messages in Azure IoT MQ Preview. According to the MQTT5/RPC protocol guidelines, clients should use MQTT5 to interact with the MQ state store. This article provides protocol guidance for developers who need to implement their own Azure IoT MQ state store clients.
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## State store protocol overview
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The MQ state store supports the following commands:

articles/iot-operations/develop/tutorial-event-driven-with-dapr.md

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#CustomerIntent: As an operator, I want to configure IoT MQ to bridge to Azure Event Grid MQTT broker PaaS so that I can process my IoT data at the edge and in the cloud.
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# Build an event-driven app with Dapr for Azure IoT MQ Preview
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# Build an event-driven app with Dapr and Azure IoT MQ Preview
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articles/iot-operations/get-started/overview-iot-operations.md

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_Azure IoT Operations Preview - enabled by Azure Arc_ is a unified data plane for the edge. It's composed of a set of modular, scalable, and highly available data services that run on Azure Arc-enabled edge Kubernetes clusters. It enables data capture from various different systems and integrates with data modeling applications such as Microsoft Fabric to help organizations deploy the industrial metaverse.
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_Azure IoT Operations Preview_ is a unified data plane for the edge. It's composed of a set of modular, scalable, and highly available data services that run on Azure Arc-enabled edge Kubernetes clusters. It enables data capture from various different systems and integrates with data modeling applications such as Microsoft Fabric to help organizations deploy the industrial metaverse.
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Azure IoT Operations:
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articles/iot-operations/manage-devices-assets/howto-autodetect-opcua-assets-using-akri.md

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In this article, you learn how to discover OPC UA data sources. After you deploy Azure IoT Operations Preview, you configure Azure IoT Akri Preview to discover OPC UA data sources at the edge. Azure IoT Akri creates custom resources into the Azure IoT Operations namespace on your cluster to represent the discovered devices. The capability to discover OPC UA data sources simplifies the process of manually configuring them from the cloud and onboarding them to your cluster. Currently, Azure IoT Akri can't detect and create assets that can be ingested into the Azure Device Registry Preview. For more information on supported features, see [Azure IoT Akri overview](overview-akri.md#features).
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In this article, you learn how to discover OPC UA data sources. After you deploy Azure IoT Operations, you configure Azure IoT Akri Preview to discover OPC UA data sources at the edge. Azure IoT Akri creates custom resources into the Azure IoT Operations namespace on your cluster to represent the discovered devices. The capability to discover OPC UA data sources simplifies the process of manually configuring them from the cloud and onboarding them to your cluster. Currently, Azure IoT Akri can't detect and create assets that can be ingested into the Azure Device Registry Preview. For more information on supported features, see [Azure IoT Akri overview](overview-akri.md#features).
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Azure IoT Akri enables you to detect and create `Assets` in the address space of an OPC UA Server. The OPC UA asset detection generates `AssetType` and `Asset` Kubernetes custom resources (CRs) for [OPC UA Device Integration (DI) specification](https://reference.opcfoundation.org/DI/v104/docs/) compliant `Assets`.
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articles/iot-operations/manage-devices-assets/howto-configure-opc-plc-simulator.md

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title: Configure an OPC PLC simulator
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description: How to configure an OPC PLC simulator using Azure IoT OPC UA Broker.
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description: How to configure an OPC PLC simulator to work with Azure IoT OPC UA Broker.
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author: timlt
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# CustomerIntent: As a developer, I want to configure an OPC PLC simulator in my industrial edge environment to test the process of managing OPC UA assets connected to the simulator.
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# Configure an OPC PLC simulator using Azure IoT OPC UA Broker Preview
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# Configure an OPC PLC simulator to work with Azure IoT OPC UA Broker Preview
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articles/iot-operations/process-data/concept-message-structure.md

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#CustomerIntent: As an operator, I want understand how internal messages in Data Processor are structured so that I can configure pipelines and pipeline stages to process my telemetry.
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# Azure IoT Data Processor Preview - message structure overview
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# Message structure in Azure IoT Data Processor Preview pipelines
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articles/iot-operations/process-data/concept-supported-formats.md

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#CustomerIntent: As an operator, I want understand what data formats Data Processor supports so that I can serialize and deserialize messages in a pipeline.
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# Azure IoT Data Processor Preview - serialization and deserialization formats overview
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# Serialization and deserialization formats in Azure IoT Data Processor Preview pipelines
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articles/iot-operations/process-data/howto-configure-datasource-http.md

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#CustomerIntent: As an operator, I want to configure an HTTP endpoint source stage so that I can read messages from an HTTP endpoint for processing.
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# Configure an Azure IoT Data Processor Preview pipeline HTTP endpoint source stage
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# Configure an HTTP endpoint source stage in an Azure IoT Data Processor Preview pipeline
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[!INCLUDE [public-preview-note](../includes/public-preview-note.md)]
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articles/iot-operations/process-data/howto-configure-datasource-mq.md

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#CustomerIntent: As an operator, I want to configure an Azure IoT Data Processor pipeline MQ source stage so that I can read messages from Azure IoT MQ for processing.
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# Configure an Azure IoT Data Processor Preview pipeline MQ source stage
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# Configure an MQ source stage in an Azure IoT Data Processor Preview pipeline
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