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articles/reliability/reliability-event-hubs.md

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@@ -22,7 +22,7 @@ This article describes reliability support in [Azure Event Hubs](../event-hubs/e
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[!INCLUDE [Availability zone description](includes/reliability-availability-zone-description-include.md)]
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Event Hubs implements transparent failure detection and failover mechanisms so that, when failure occurs, the service continues to operate within the assured service-levels and without noticeable interruptions. If you create an Event Hubs namespace in a region that supports availability zones, [zone redundancy](./availability-zones-overview.md#zonal-and-zone-redundant-services) is automatically enabled. With zone-redundancy, fault tolerance is increased and the service has enough capacity reserves to cope with the outage of an entire facility. Both metadata and data (events) are replicated across data centers in each zone.
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Event Hubs implements transparent failure detection and failover mechanisms so that, when failure occurs, the service continues to operate within the assured service-levels and without noticeable interruptions. If you create an Event Hubs namespace in a region that supports availability zones, [zone redundancy](./availability-zones-overview.md#zonal-and-zone-redundant-services) is automatically enabled. With zone-redundancy, fault tolerance is increased and the service has enough capacity reserves to cope with the outage of an entire facility. Both metadata and data (events) are replicated across data centers in each zone.
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### Prerequisites
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### Availability zone migration
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When you create availability zones in a region that supports them, availability zones are automatically enabled. If you wish to learn how to move your Event Hub to a new region that supports availability zones, see
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When you create availability zones in a region that supports them, availability zones are automatically enabled. If you wish to learn how to move your Event Hubs namespace to a new region that supports availability zones, see
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[Relocate Event Hubs to another region](../operational-excellence/relocation-event-hub.md).
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### Pricing
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Need Info. Any pricing considerations when using availability zones?
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## Cross-region disaster recovery and business continuity
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[!INCLUDE [introduction to disaster recovery](includes/reliability-disaster-recovery-description-include.md)]
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Geo-Disaster recovery ensures that the entire configuration of a namespace (Event Hubs, Consumer Groups, and settings) is continuously replicated from a primary namespace to a secondary namespace when paired.
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The Geo-disaster recovery feature of Azure Event Hubs is a disaster recovery solution. The concepts and workflow described in this article apply to disaster scenarios, and not to temporary outages. For a detailed discussion of disaster recovery in Microsoft Azure, see [this article](/azure/architecture/resiliency/disaster-recovery-azure-applications).
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The Geo-disaster recovery feature of Azure Event Hubs is a disaster recovery solution. The concepts and workflow described in this article apply to disaster scenarios, and not to temporary outages. For a detailed discussion of disaster recovery in Microsoft Azure, see [this article](/azure/architecture/resiliency/disaster-recovery-azure-applications).
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With Geo-Disaster recovery, you can initiate a once-only failover move from the primary to the secondary at any time. The failover move points the chosen alias name for the namespace to the secondary namespace. After the move, the pairing is then removed. The failover is nearly instantaneous once initiated.
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For detailed information, as well as samples and further documentation, on Geo-Disaster recovery in Event Hubs, see [Azure Event Hubs - Geo-disaster recovery](../event-hubs/event-hubs-geo-dr.md).
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For detailed information, samples, and further documentation, on Geo-Disaster recovery in Event Hubs, see [Azure Event Hubs - Geo-disaster recovery](../event-hubs/event-hubs-geo-dr.md).
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- **Geo-replication (public preview)**, which provides replication of both metadata and data, replicates configuration information and all of the data from a primary namespace to one, or more secondary namespaces. When a failover is performed, the selected secondary becomes the primary and the previous primary becomes a secondary. Users can perform a failover back to the original primary when desired.
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For detailed information, as well as samples and further documentation, on Geo-replication in Event Hubs, see [Geo-replication ](../event-hubs/geo-replication.md).
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For detailed information, samples, and further documentation, on Geo-replication in Event Hubs, see [Geo-replication ](../event-hubs/geo-replication.md).
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articles/service-bus-messaging/compare-messaging-services.md

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The service provides an eventing backbone that enables event-driven and reactive programming. It uses the publish-subscribe model. Publishers emit events, but have no expectation about how the events are handled. Subscribers decide on which events they want to handle.
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Event Grid is deeply integrated with other Azure services and can be integrated with third-party services. It simplifies event consumption and lowers costs by eliminating the need for constant polling. Event Grid efficiently and reliably routes events from Azure and non-Azure resources. It distributes the events to registered subscriber endpoints. The event message has the information you need to react to changes in services and applications. Event Grid isn't a data pipeline, and doesn't deliver the actual object that was updated.
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Event Grid is deeply integrated with other Azure services and can be integrated with third-party services. It simplifies event consumption and lowers costs by eliminating the need for constant polling. Event Grid efficiently and reliably routes events from Azure and non-Azure resources. It distributes the events to registered subscriber endpoints. The event message has the information you need to react to changes in services and applications.
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It has the following characteristics:
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articles/stream-analytics/azure-data-explorer-managed-identity.md

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# Use managed identities to access Azure Data Explorer from an Azure Stream Analytics job
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Azure Stream Analytics supports managed identity authentication for Azure Data Explorer output. Managed identities for Azure resources is a cross-Azure feature that enables you to create a secure identity associated with the deployment under which your application code runs. You can then associate that identity with access-control roles that grant custom permissions for accessing specific Azure resources that your application needs.
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Azure Stream Analytics supports managed identity authentication for Azure Data Explorer output. Managed identity for Azure resources is a cross-Azure feature that enables you to create a secure identity associated with the deployment under which your application code runs. You can then associate that identity with access-control roles that grant custom permissions for accessing specific Azure resources that your application needs.
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With managed identities, the Azure platform manages this runtime identity. You do not need to store and protect access keys in your application code or configuration, either for the identity itself, or for the resources you need to access. For more information on managed identities for Azure Stream Analytics, see [Managed identities for Azure Stream Analytics](stream-analytics-managed-identities-overview.md).
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With managed identities, the Azure platform manages this runtime identity. You don't need to store and protect access keys in your application code or configuration, either for the identity itself, or for the resources you need to access. For more information on managed identities for Azure Stream Analytics, see [Managed identities for Azure Stream Analytics](stream-analytics-managed-identities-overview.md).
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This article shows you how to enable system-assigned managed identity for an Azure Data Explorer output of a Stream Analytics job through the Azure portal. Before you can enable system-assigned managed identity, you must first have a Stream Analytics job and an Azure Data Explorer resource.
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| Role | Permissions |
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|---------------|-------------------------------------------------------------------------------------|
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| Data ingestor | Can ingest data into all existing tables in the database, but can't query the data. |
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| Data monitor | Can execute .show commands in the context of the database and its child entities. |
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| Ingestor | Can ingest data into all existing tables in the database, but can't query the data. |
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| Monitor | Can execute `.show` commands in the context of the database and its child entities. |
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For more information about roles supported Azure Data Explorer, see [Role-based access control in Azure Data Explorer](/kusto/access-control/role-based-access-control?view=azure-data-explorer&preserve-view=true#roles-and-permissions).
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1. Select **Access control (IAM)**.
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| Setting | Value |
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| --- | --- |
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| Role | Data ingestor and Data monitor |
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| Role | Ingestor and Monitor |
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| Assign access to | User, group, or service principal |
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| Members | \<Name of your Stream Analytics job> |
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1. Go to your Stream Analytics job and navigate to the **Outputs** page under **Job Topology**.
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1. Select **Add > Azure Data Explorer**. In the output properties window, search and select your Azure Data Explorer (kusto) cluster or type in the URL of your cluster and select **Managed Identity: System assigned** from the *Authentication mode* drop-down menu.
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1. Select **Add > Azure Data Explorer**. In the output properties window, search and select your Azure Data Explorer cluster or type in the URL of your cluster and select **Managed Identity: System assigned** from the *Authentication mode* drop-down menu.
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1. Fill out the rest of the properties and select **Save**.
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