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articles/event-hubs/apache-kafka-developer-guide.md

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## Next steps
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Review samples in the GitHub repo [azure-event-hubs-for-kafka](https://github.com/Azure/azure-event-hubs-for-kafka) under quickstart and tutorials folders.
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Also, see the following articles:
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- [Apache Kafka troubleshooting guide for Event Hubs](apache-kafka-troubleshooting-guide.md)
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- [Frequently asked questions - Event Hubs for Apache Kafka](apache-kafka-frequently-asked-questions.md)
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- [Apache Kafka migration guide for Event Hubs](apache-kafka-migration-guide.md)
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articles/event-hubs/apache-kafka-frequently-asked-questions.md

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---
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# Frequently asked questions - Event Hubs for Apache Kafka
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This article provides answers to some of the frequently asked questions on migrating to Event Hubs for Apache Kafka.
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## Do you run Apache Kafka?
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## Next steps
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To learn more about Event Hubs and Event Hubs for Kafka, see the following articles:
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- [Event Hubs for Apache Kafka - Overview](event-hubs-for-kafka-ecosystem-overview.md)
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- [Quickstart: Data streaming with Event Hubs using the Kafka protocol](event-hubs-quickstart-kafka-enabled-event-hubs.md)
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- [Tutorial: Process Apache Kafka for Event Hubs events using Stream analytics](event-hubs-kafka-stream-analytics.md)
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- [Mirror a Kafka broker in an event hub](event-hubs-kafka-mirror-maker-tutorial.md)
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- [Connect Apache Spark to an event hub](event-hubs-kafka-spark-tutorial.md)
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- [Integrate Apache Kafka Connect with a event hub (Preview)](event-hubs-kafka-connect-tutorial.md)
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- [Connect Akka Streams to an event hub](event-hubs-kafka-akka-streams-tutorial.md)
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- [Use the Spring Boot Starter for Apache Kafka with Azure Event Hubs](/azure/java/spring-framework/configure-spring-cloud-stream-binder-java-app-kafka-azure-event-hub)
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- [Apache Kafka developer guide for Event Hubs](apache-kafka-developer-guide.md)
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- [Apache Kafka migration guide for Event Hubs](apache-kafka-migration-guide.md)
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- [Apache Kafka troubleshooting guide for Event Hubs](apache-kafka-troubleshooting-guide.md)
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articles/event-hubs/apache-kafka-migration-guide.md

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## Next steps
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To learn more about Event Hubs and Event Hubs for Kafka, see the following articles:
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- [Event Hubs for Apache Kafka - Overview](event-hubs-for-kafka-ecosystem-overview.md)
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- [Quickstart: Data streaming with Event Hubs using the Kafka protocol](event-hubs-quickstart-kafka-enabled-event-hubs.md)
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- [Tutorial: Process Apache Kafka for Event Hubs events using Stream analytics](event-hubs-kafka-stream-analytics.md)
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- [Mirror a Kafka broker in an event hub](event-hubs-kafka-mirror-maker-tutorial.md)
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- [Connect Apache Spark to an event hub](event-hubs-kafka-spark-tutorial.md)
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- [Integrate Apache Kafka Connect with a event hub (Preview)](event-hubs-kafka-connect-tutorial.md)
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- [Connect Akka Streams to an event hub](event-hubs-kafka-akka-streams-tutorial.md)
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- [Use the Spring Boot Starter for Apache Kafka with Azure Event Hubs](/azure/java/spring-framework/configure-spring-cloud-stream-binder-java-app-kafka-azure-event-hub)
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- [Apache Kafka troubleshooting guide for Event Hubs](apache-kafka-troubleshooting-guide.md)
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- [Frequently asked questions - Event Hubs for Apache Kafka](apache-kafka-frequently-asked-questions.md)
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- [Apache Kafka developer guide for Azure Event Hubs](apache-kafka-developer-guide.md)
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articles/event-hubs/apache-kafka-troubleshooting-guide.md

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# Troubleshoot issues with using Event Hubs for Apache Kafka
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# Apache Kafka troubleshooting guide for Event Hubs
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This article provides troubleshooting tips for issues that you may run into when using Event Hubs for Apache Kafka.
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## Server Busy exception
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You may receive Server Busy exception due to Kafka throttling. With AMQP clients, Event Hubs immediately returns a **Server Busy** exception upon service throttling. It's equivalent to a "try again later" message. In Kafka, messages are delayed before being completed. The delay length is returned in milliseconds as `throttle_time_ms` in the produce/fetch response. In most cases, these delayed requests aren't logged as ServerBusy exceptions on Event Hubs dashboards. Instead, the response's `throttle_time_ms` value should be used as an indicator that throughput has exceeded the provisioned quota.
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## Next steps
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To learn more about Event Hubs and Event Hubs for Kafka, see the following articles:
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- [Event Hubs for Apache Kafka - Overview](event-hubs-for-kafka-ecosystem-overview.md)
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- [Quickstart: Data streaming with Event Hubs using the Kafka protocol](event-hubs-quickstart-kafka-enabled-event-hubs.md)
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- [Tutorial: Process Apache Kafka for Event Hubs events using Stream analytics](event-hubs-kafka-stream-analytics.md)
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- [Mirror a Kafka broker in an event hub](event-hubs-kafka-mirror-maker-tutorial.md)
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- [Connect Apache Spark to an event hub](event-hubs-kafka-spark-tutorial.md)
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- [Integrate Apache Kafka Connect with a event hub (Preview)](event-hubs-kafka-connect-tutorial.md)
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- [Connect Akka Streams to an event hub](event-hubs-kafka-akka-streams-tutorial.md)
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- [Use the Spring Boot Starter for Apache Kafka with Azure Event Hubs](/azure/java/spring-framework/configure-spring-cloud-stream-binder-java-app-kafka-azure-event-hub)
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- [Apache Kafka developer guide for Event Hubs](apache-kafka-developer-guide.md)
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- [Apache Kafka migration guide for Event Hubs](apache-kafka-migration-guide.md)
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- [Frequently asked questions - Event Hubs for Apache Kafka](apache-kafka-frequently-asked-questions.md)
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