Providing Real-Time Insurance Quotes via Data Streaming
Sep 6, 2023Kyle Moynihan
Summary
This post details how an Insurtech company migrated from a monolithic database architecture to a streaming data pipeline using Confluent Cloud. It highlights the use of Change Data Capture (CDC) connectors, specifically the Debezium PostgreSQL Connector, to stream row-level changes from a legacy database into Kafka topics. This enables downstream microservices to consume real-time data for applications like generating insurance quotes. The post also discusses future possibilities of using the platform for IoT and GenAI workloads and the integration of sink connectors to downstream systems like Elasticsearch, Snowflake, and cloud storage.
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