Apache Kafka developer guide for Azure Event Hubs

Article
18/12/2024

This article provides links to articles that describe how to integrate your Apache Kafka applications with Azure Event Hubs.

Overview

Event Hubs provides a Kafka endpoint that your existing Kafka based applications can use 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

Quickstarts

You can find quickstarts in GitHub and in this content set that helps you quickly ramp up on Event Hubs for Kafka.

Quickstarts in GitHub

See the following quickstarts in the azure-event-hubs-for-kafka repo:

Client language/framework	Description
.NET	This quickstart shows how to create and connect to an Event Hubs Kafka endpoint using an example producer and consumer written in C# using .NET Core 2.0. This sample is based on Confluent's Apache Kafka .NET client, modified for use with Event Hubs for Kafka.
Java	This quickstart shows how to create and connect to an Event Hubs Kafka endpoint using an example producer and consumer written in Java.
Node.js	This quickstart shows how to create and connect to an Event Hubs Kafka endpoint using an example producer and consumer written in Node. This sample uses the node-rdkafka library.
Python	This quickstart shows how to create and connect to an Event Hubs Kafka endpoint using an example producer and consumer written in python. This sample is based on Confluent's Apache Kafka Python client, modified for use with Event Hubs for Kafka.
Go	This quickstart shows how to create and connect to an Event Hubs Kafka endpoint using an example producer and consumer written in Go. This sample is based on Confluent's Apache Kafka Golang client, modified for use with Event Hubs for Kafka.
Sarama kafka Go	This quickstart shows how to create and connect to an Event Hubs Kafka endpoint using an example producer and consumer written in Go using the Sarama Kafka client library.
Kafka	This quickstart shows how to create and connect to an Event Hubs Kafka endpoint using the CLI that comes bundled with the Apache Kafka distribution.
kcat	kcat is a non-JVM command-line consumer and producer based on librdkafka, popular due to its speed and small footprint. This quickstart contains a sample configuration and several simple sample kafkacat commands.

Quickstarts in DOCS

See the quickstart: Data streaming with Event Hubs using the Kafka protocol in this content set, which provides step-by-step instructions on how to stream into Event Hubs. You learn how to use your producers and consumers to talk to Event Hubs with just a configuration change in your applications.

Tutorials

Tutorials in GitHub

See the following tutorials on GitHub:

Tutorial	Description
Akka	This tutorial shows how to connect Akka Streams to Kafka-enabled Event Hubs without changing your protocol clients or running your own clusters. There are two separate tutorials using Java and Scala programming languages.
Connect	This document walks you through integrating Kafka Connect with Azure Event Hubs and deploying basic FileStreamSource and FileStreamSink connectors. While these connectors aren't meant for production use, they demonstrate an end-to-end Kafka Connect Scenario where Azure Event Hubs masquerades as a Kafka broker.
Filebeat	This document walks you through integrating Filebeat and Event Hubs via Filebeat's Kafka output.
Flink	This tutorial shows how to connect Apache Flink to Kafka-enabled Event Hubs without changing your protocol clients or running your own clusters.
FluentD	This document walks you through integrating Fluentd and Event Hubs using the `out_kafka` output plugin for Fluentd.
Interop	This tutorial shows you how to exchange events between consumers and producers using different protocols.
Logstash	This tutorial walks you through integrating Logstash with Kafka-enabled Event Hubs using Logstash Kafka input/output plugins.
MirrorMaker	This tutorial shows how an event hub and Kafka MirrorMaker can integrate an existing Kafka pipeline into Azure by mirroring the Kafka input stream in the Event Hubs service.
NiFi	This tutorial shows how to connect Apache NiFi to an Event Hubs namespace.
OAuth	Quickstarts show you how to create and connect to an Event Hubs Kafka endpoint using an example producer and consumer written in Go and Java programming languages.
Confluent's Schema Registry	This tutorial walks you through integrating Schema Registry and Event Hubs for Kafka.
Spark	This tutorial shows how to connect your Spark application to an event hub without changing your protocol clients or running your own Kafka clusters.

Tutorials in DOCS

Also, see the tutorial: Process Apache Kafka for Event Hubs events using Stream analytics in this content set, which shows how to stream data into Event Hubs and process it with Azure Stream Analytics.

How-to guides

See the following How-to guides in our documentation:

Article	Description
Mirror a Kafka broker in an event hub	Shows how to mirror a Kafka broker in an event hub using Kafka MirrorMaker.
Connect Apache Spark to an event hub	Walks you through connecting your Spark application to Event Hubs for real-time streaming.
Connect Apache Flink to an event hub	Shows you how to connect Apache Flink to an event hub without changing your protocol clients or running your own clusters.
Integrate Apache Kafka Connect with a event hub (Preview)	Walks you through integrating Kafka Connect with an event hub and deploying basic FileStreamSource and FileStreamSink connectors.
Connect Akka Streams to an event hub	Shows you how to connect Akka Streams to an event hub without changing your protocol clients or running your own clusters.
Use the Spring Boot Starter for Apache Kafka with Azure Event Hubs	Demonstrates how to configure a Java-based Spring Cloud Stream Binder created with the Spring Boot Initializer to use Apache Kafka with Azure Event Hubs.

Next steps

Review samples in the GitHub repo azure-event-hubs-for-kafka under quickstart and tutorials folders.

Also, see the following articles:

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