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Copy file name to clipboardExpand all lines: articles/event-hubs/apache-kafka-developer-guide.md
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This article provides links to articles that describe how to integrate your Apache Kafka applications with Azure Event Hubs.
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## Overview
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Event Hubs provides a Kafka endpoint that can be used by your existing Kafka based applications as an alternative to running your own Kafka cluster. Event Hubs works with many of your existing Kafka applications. For more information, see [Event Hubs for Apache Kafka](event-hubs-for-kafka-ecosystem-overview.md)
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Event Hubs provides a Kafka endpoint that can be used by your existing Kafka based applications as an alternative to running your own Kafka cluster. Event Hubs works with many of your existing Kafka applications. For more information, see [Event Hubs for Apache Kafka](azure-event-hubs-kafka-overview.md)
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## Quickstarts
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You can find quickstarts in GitHub and in this content set that helps you quickly ramp up on Event Hubs for Kafka.
Copy file name to clipboardExpand all lines: articles/event-hubs/apache-kafka-frequently-asked-questions.yml
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Does Azure Event Hubs run on Apache Kafka?
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answer: |
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No. Azure Event Hubs is a cloud-native multi-tier broker with support for multiple protocols that is developed and maintained by Microsoft and doesn't use any Apache Kafka code. One of the supported protocols is the Kafka RPC protocol for the Kafka client's consumer and producer APIs. Event Hubs works with many of your existing Kafka applications. For more information, see [Event Hubs for Apache Kafka](event-hubs-for-kafka-ecosystem-overview.md). Because the concepts of Apache Kafka and Azure Event Hubs are very similar (but not identical), we're able to offer the unmatched reliability of Azure Event Hubs to customers with existing Apache Kafka investments.
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No. Azure Event Hubs is a cloud-native multi-tier broker with support for multiple protocols that is developed and maintained by Microsoft and doesn't use any Apache Kafka code. One of the supported protocols is the Kafka RPC protocol for the Kafka client's consumer and producer APIs. Event Hubs works with many of your existing Kafka applications. For more information, see [Event Hubs for Apache Kafka](azure-event-hubs-kafka-overview.md). Because the concepts of Apache Kafka and Azure Event Hubs are very similar (but not identical), we're able to offer the unmatched reliability of Azure Event Hubs to customers with existing Apache Kafka investments.
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Event Hubs consumer group vs. Kafka consumer group
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Does Azure Event Hubs for Apache Kafka support shared access signature token authentication?
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Authenticating by using [OAuth 2.0 and shared access signature](event-hubs-for-kafka-ecosystem-overview.md#security-and-authentication) is supported.
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Authenticating by using [OAuth 2.0 and shared access signature](azure-event-hubs-kafka-overview.md#security-and-authentication) is supported.
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Shared access signature tokens are [generated](authenticate-shared-access-signature.md#generate-a-shared-access-signature-token) by using an authorization rule and one of its signing keys. It isn't supported when using the Event Hubs for Apache Kafka endpoint.
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---
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# Migrate to Azure Event Hubs for Apache Kafka Ecosystems
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Azure Event Hubs exposes an Apache Kafka endpoint, which enables you to connect to Event Hubs using the Kafka protocol. By making minimal changes to your existing Kafka application, you can connect to Azure Event Hubs and reap the benefits of the Azure ecosystem. Event Hubs works with many of your existing Kafka applications, including MirrorMaker. For more information, see [Event Hubs for Apache Kafka](event-hubs-for-kafka-ecosystem-overview.md)
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Azure Event Hubs exposes an Apache Kafka endpoint, which enables you to connect to Event Hubs using the Kafka protocol. By making minimal changes to your existing Kafka application, you can connect to Azure Event Hubs and reap the benefits of the Azure ecosystem. Event Hubs works with many of your existing Kafka applications, including MirrorMaker. For more information, see [Event Hubs for Apache Kafka](azure-event-hubs-kafka-overview.md)
Copy file name to clipboardExpand all lines: articles/event-hubs/authorize-access-azure-active-directory.md
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> [!NOTE]
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> - Keep in mind that Azure role assignments may take up to five minutes to propagate.
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> - This content applies to both Event Hubs and Event Hubs for Apache Kafka. For more information on Event Hubs for Kafka support, see [Event Hubs for Kafka - security and authentication](event-hubs-for-kafka-ecosystem-overview.md#security-and-authentication).
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> - This content applies to both Event Hubs and Event Hubs for Apache Kafka. For more information on Event Hubs for Kafka support, see [Event Hubs for Kafka - security and authentication](azure-event-hubs-kafka-overview.md#security-and-authentication).
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For more information about how built-in roles are defined, see [Understand role definitions](../role-based-access-control/role-definitions.md#control-and-data-actions). For information about creating Azure custom roles, see [Azure custom roles](../role-based-access-control/custom-roles.md).
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- Shared access signature
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> [!NOTE]
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> This article applies to both Event Hubs and [Apache Kafka](event-hubs-for-kafka-ecosystem-overview.md) scenarios.
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> This article applies to both Event Hubs and [Apache Kafka](azure-event-hubs-kafka-overview.md) scenarios.
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## Azure Active Directory
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Azure Active Directory (Azure AD) integration for Event Hubs resources provides Azure role-based access control (Azure RBAC) for fine-grained control over a client's access to resources. You can use Azure RBAC to grant permissions to security principal, which may be a user, a group, or an application service principal. The security principal is authenticated by Azure AD to return an OAuth 2.0 token. The token can be used to authorize a request to access an Event Hubs resource.
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> Dynamic additions of partitions is available only in **premium** and **dedicated** tiers of Event Hubs.
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> [!NOTE]
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> For Apache Kafka clients, an **event hub** maps to a **Kafka topic**. For more mappings between Azure Event Hubs and Apache Kafka, see [Kafka and Event Hubs conceptual mapping](event-hubs-for-kafka-ecosystem-overview.md#kafka-and-event-hubs-conceptual-mapping)
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> For Apache Kafka clients, an **event hub** maps to a **Kafka topic**. For more mappings between Azure Event Hubs and Apache Kafka, see [Kafka and Event Hubs conceptual mapping](azure-event-hubs-kafka-overview.md#kafka-and-event-hubs-conceptual-mapping)
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The following sections describe key features of the Azure Event Hubs service:
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## Fully managed PaaS
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Event Hubs is a fully managed Platform-as-a-Service (PaaS) with little configuration or management overhead, so you focus on your business solutions. [Event Hubs for Apache Kafka ecosystems](event-hubs-for-kafka-ecosystem-overview.md) gives you the PaaS Kafka experience without having to manage, configure, or run your clusters.
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Event Hubs is a fully managed Platform-as-a-Service (PaaS) with little configuration or management overhead, so you focus on your business solutions. [Event Hubs for Apache Kafka ecosystems](azure-event-hubs-kafka-overview.md) gives you the PaaS Kafka experience without having to manage, configure, or run your clusters.
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## Support for real-time and batch processing
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Ingest, buffer, store, and process your stream in real time to get actionable insights. Event Hubs uses a [partitioned consumer model](event-hubs-scalability.md#partitions), enabling multiple applications to process the stream concurrently and letting you control the speed of processing. Azure Event Hubs also integrates with [Azure Functions](../azure-functions/index.yml) for a serverless architecture.
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With a broad ecosystem based on the industry-standard AMQP 1.0 protocol and available in various languages [.NET](https://github.com/Azure/azure-sdk-for-net/), [Java](https://github.com/Azure/azure-sdk-for-java/), [Python](https://github.com/Azure/azure-sdk-for-python/), [JavaScript](https://github.com/Azure/azure-sdk-for-js/), you can easily start processing your streams from Event Hubs. All supported client languages provide low-level integration. The ecosystem also provides you with seamless integration with Azure services like Azure Stream Analytics and Azure Functions and thus enables you to build serverless architectures.
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## Event Hubs for Apache Kafka
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[Event Hubs for Apache Kafka ecosystems](event-hubs-for-kafka-ecosystem-overview.md) furthermore enables [Apache Kafka (1.0 and later)](https://kafka.apache.org/) clients and applications to talk to Event Hubs. You don't need to set up, configure, and manage your own Kafka and Zookeeper clusters or use some Kafka-as-a-Service offering not native to Azure.
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[Event Hubs for Apache Kafka ecosystems](azure-event-hubs-kafka-overview.md) furthermore enables [Apache Kafka (1.0 and later)](https://kafka.apache.org/) clients and applications to talk to Event Hubs. You don't need to set up, configure, and manage your own Kafka and Zookeeper clusters or use some Kafka-as-a-Service offering not native to Azure.
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## Event Hubs premium and dedicated
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Event Hubs **premium** caters to high-end streaming needs that require superior performance, better isolation with predictable latency and minimal interference in a managed multitenant PaaS environment. On top of all the features of the standard offering, the premium tier offers several extra features such as [dynamic partition scale up](dynamically-add-partitions.md), extended retention, and [customer-managed-keys](configure-customer-managed-key.md). For more information, see [Event Hubs Premium](event-hubs-premium-overview.md).
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