Providing Real-Time Insurance Quotes via Data Streaming

What this post added

This post details the technical approach to enabling real-time insurance quotes by migrating data from a monolithic database to a streaming pipeline using Confluent Cloud. It highlights the use of Change Data Capture (CDC) connectors (specifically mentioning Debezium PostgreSQL Connector) to stream row-level changes to Kafka topics. The post provides a JSON configuration example for a CDC connector and discusses the benefits of this approach for overcoming scalability issues, database load, and enabling real-time event consumption by modern microservices. It also touches upon future integrations with sink connectors for platforms like Elasticsearch, Snowflake, and cloud storage, as well as potential applications in IoT, ML, and GenAI.