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Merge pull request #106434 from inkerinmaa/patch-1
Update azure-event-hubs-kafka-overview.md
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articles/event-hubs/azure-event-hubs-kafka-overview.md

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For more information about Event Hubs and namespaces, see [Event Hubs features](event-hubs-features.md#namespace). As a cloud service, Event Hubs uses a single stable virtual IP address as the endpoint, so clients don't need to know about the brokers or machines within a cluster. Even though Event Hubs implements the same protocol, this difference means that all Kafka traffic for all partitions is predictably routed through this one endpoint rather than requiring firewall access for all brokers of a cluster.
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Scale in Event Hubs is controlled by how many [throughput units (TUs)](event-hubs-scalability.md#throughput-units) or [processing units](event-hubs-scalability.md#processing-units) you purchase. If you enable the [Auto-Inflate](event-hubs-auto-inflate.md) feature for a standard tier namespace, Event Hubs automatically scales up TUs when you reach the throughput limit. This feature work also works with the Apache Kafka protocol support. For a premier tier namespace, you can increase the number of processing units assigned to the namespace.
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Scale in Event Hubs is controlled by how many [throughput units (TUs)](event-hubs-scalability.md#throughput-units) or [processing units](event-hubs-scalability.md#processing-units) you purchase. If you enable the [Auto-Inflate](event-hubs-auto-inflate.md) feature for a standard tier namespace, Event Hubs automatically scales up TUs when you reach the throughput limit. This feature also works with the Apache Kafka protocol support. For a premier tier namespace, you can increase the number of processing units assigned to the namespace.
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## Is Apache Kafka the right solution for your workload?
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