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articles/event-hubs/event-hubs-features.md

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If you need to archive events beyond the allowed retention period, you can have them automatically stored in Azure Storage or Azure Data Lake by turning on the [Event Hubs Capture feature](event-hubs-capture-overview.md). If you need to search or analyze such deep archives, you can easily import them into [Azure Synapse](store-captured-data-data-warehouse.md) or other similar stores and analytics platforms.
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The reason for Event Hubs' limit on data retention based on time is to prevent large volumes of historic customer data getting trapped in a deep store that is only indexed by a timestamp and only allows for sequential access. The architectural philosophy here's that historic data needs richer indexing and more direct access than the real-time eventing interface that Event Hubs or Kafka provide. Event stream engines aren't well suited to play the role of data lakes or long-term archives for event sourcing.
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The reason for Event Hubs' limit on data retention based on time is to prevent large volumes of historic customer data getting trapped in a deep store that is only indexed by a timestamp and only allows for sequential access. The architectural philosophy here's that historic data needs richer indexing and more direct access than the real-time eventing interface that Event Hubs or Kafka provide. Event streaming engines aren't well suited to play the role of data lakes or long-term archives for event sourcing.
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> [!NOTE]
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> Event Hubs is a real-time event stream engine and is not designed to be used instead of a database and/or as a permanent store for infinitely held event streams.
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For more information, see [Resource governance for client applications with application groups](resource-governance-overview.md).
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## Apache Kafka support
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[The protocol support for **Apache Kafka** clients](azure-event-hubs-kafka-overview.md) (versions >=1.0) provides endpoints that enable existing Kafka applications to use Event Hubs. Most existing Kafka applications can simply be reconfigured to point to an s namespace instead of a Kafka cluster bootstrap server.
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[The protocol support for **Apache Kafka** clients](azure-event-hubs-kafka-overview.md) (versions >=1.0) provides endpoints that enable existing Kafka applications to use Event Hubs. Most existing Kafka applications can be reconfigured to point to an s namespace instead of a Kafka cluster bootstrap server.
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From the perspective of cost, operational effort, and reliability, Azure Event Hubs is a great alternative to deploying and operating your own Kafka and Zookeeper clusters and to Kafka-as-a-Service offerings not native to Azure.
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articles/event-hubs/includes/event-hubs-connectivity.md

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2. Note down the IP address returned in `Non-authoritative answer`.
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If you use a namespace hosted in an older cluster (based on Cloud Services - CNAME ending in *.cloudapp.net) and the namespace is **zone redundant**, you'll need to follow few extra steps below. If your namespace is on a newer cluster (based on Virtual Machine Scale Set (VMSS) - CNAME ending in *.cloudapp.azure.com) and zone redundant you can skip below steps.
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If you use a namespace hosted in an older cluster (based on Cloud Services - CNAME ending in *.cloudapp.net) and the namespace is **zone redundant**, you need to follow few extra steps. If your namespace is on a newer cluster (based on Virtual Machine Scale Set - CNAME ending in *.cloudapp.azure.com) and zone redundant you can skip below steps.
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1. First, you run nslookup on the namespace.
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