The goal of the Gateway application is to set up a Reactive stream from a webcontroller to the Kafka cluster. Stream processing is a real time continuous data processing. In Spring Boot, spring.kafka.bootstrap-servers is the parameter responsible for connecting to Kafka. spring.kafka.consumer.group-id=kafka-intro spring.kafka.bootstrap-servers=kafka:9092 You can customize how to interact with Kafka much further, but this is a topic for another blog post. Kafka streams topology. If this tutorial was helpful and youâre on the hunt for more on stream processing using Kafka Streams, ksqlDB, and Kafka, donât forget to check out Kafka Tutorials. In the the tutorial, we use jsa.kafka.topic to define a Kafka topic name to produce and receive messages. BOOTSTRAP_SERVERS_CONFIG: The Kafka broker's address. First a few concepts: Kafka is run as a cluster on one or more servers that can span multiple datacenters. Consumer (which recieve messages from the Kafka Server). â jsa.kafka.topic is an additional configuration. In applicatiopn.properties, the configuration properties have been separated into three groups:. So I use Spring Kafka again to create them when the application starts up: Example of configuring Kafka Streams within a Spring Boot application with an example of SSL configuration - KafkaStreamsConfig.java If you need more in-depth information, check the official reference documentation . Also, learn to produce and consumer messages from a Kafka topic. Learn to create a spring boot application which is able to connect a given Apache Kafka broker instance. Steps we will follow: Create Spring boot application with Kafka dependencies Configure kafka broker instance in application.yaml Use KafkaTemplate to send messages to topic Use @KafkaListener [â¦] The above snippet creates a Kafka producer with some properties. To use Kafka streams, we need to define a Kafka Streams topology, which is basically a sequence of actions. A crucial configuration parameter is the BOOTSTRAP_SERVER_CONFIG. â spring.kafka.bootstrap-servers is used to indicate the Kafka Cluster address. Both of these alternatives work on similar principles: You need to create an object associated with the Kafka broker (embedded or containerized), get the connection address from it, and pass the address to the application parameters. BOOTSTRAP_SERVERS_CONFIG, Spring Kafka Bootstrap Servers Properties, spring: kafka: client-id: square-finder bootstrap-servers: - localhost:9091 - localhost:9092 - localhost:9093 template: default-topic: input-topic Overview: In this article, Lets do stream processing using Kafka. Note that the server URL above is us-south, which may â¦ 4. Sending messages to Kafka through Reactive Streams. Export some RestAPIs Overall: Spring Bootâs default configuration is quite reasonable for any moderate uses of Kafka. Our applications are built on top of Spring 5 and Spring Boot 2, enabling us to quickly set up and use Project Reactor. First, I need to create the topics heart-beats-valid and heart-beats-invalid. The first group, Connection, is properties dedicated to setting up the connection to the event stream instance.While, in this example, only one server is defined, spring.kafka.bootstrap-servers can take a comma-separated list of server URLs. â spring.kafka.consumer.group-id is used to indicate the consumer-group-id.