@Header(value = KafkaHeaders.RECEIVED_MESSAGE_KEY,required = false) String receivedMessageKey, @Header(value = KafkaHeaders.RECEIVED_TIMESTAMP,required = false) long receivedTimestamp, Acknowledgment ack){ KafkaComsumePayLoad kafkaComsumePayLoad = buildKafkaComsumePayLoad(data,receivedTimestamp,receivedT...
This protocol involves messaging architectures, with message brokers like RabbitMQ and Apache Kafka. Asynchronous calls are also possible with REST protocol. The Spring Boot WebClient technology, available in the Spring Web Reactive module, provides that. Nevertheless, in this article, we are not ...
The goal of this project is to implement a "News" processing pipeline composed of five Spring Boot applications: producer-api, categorizer-service, collector-service, publisher-api and news-client. - ivangfr/spring-cloud-stream-kafka-elasticsearch
@Value("${spring.kafka.bootstrap-servers}") private String bootstrapServers; @Bean public Map<String, Object> consumerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS...
Decide on communication protocols between microservices. RESTful APIs and message queues (e.g., Apache Kafka or RabbitMQ) are common choices. 7. Data Management: Choose how data will be managed across microservices. Each microservice should have its own database, and data consistency can be main...
So, besides the traditional create/update/delete, whenever a user is created, updated, or deleted, an event informing this change is sent to Kafka. Furthermore, we will implement another Spring Boot application that listens to those events and saves them in Cassandra. Finally, we will use ...