Modern data streaming platforms bring better customer travel experiences

This post details how cruise lines are leveraging Confluent Cloud and Apache Kafka to build real-time customer experience platforms. It describes the challenges of legacy systems, limited bandwidth on ships, and the need for seamless ship-to-shore data replication. The technical solution involves using CDC-based connectors to capture data changes, logging events into Kafka topics, and employing Kafka Streams for event-driven microservices. Confluent for Kubernetes is used for managing onboard clusters, while Confluent Cloud is utilized onshore for managed connectors and stream processing. Cluster Linking is mentioned for ship-to-shore replication. The post highlights the benefits of real-time data streaming for improving customer experiences in the travel industry.