Fan-out from Postgres with Change Data Capture using Debezium and Upstash Redis

The blog post provides a comprehensive guide on implementing Change Data Capture (CDC) with Neon's serverless Postgres, Debezium, and Upstash Redis to facilitate event-driven architecture through a fan-out messaging pattern. It highlights the benefits of using CDC to monitor database changes in real-time and the challenges of the dual write problem, where changes need to be consistent across different systems. The article explains how Debezium consumes changes from Postgres' write-ahead log (WAL) and streams them to a message broker, ensuring at-least-once delivery semantics to avoid inconsistencies. The author details the steps to set up logical replication in Neon, configure Debezium as a data source, and use Upstash Redis as a data sink. Additionally, it offers instructions for deploying a Debezium Server container and demonstrates how to use a Node.js application to consume streamed data. The guide emphasizes the value of CDC platforms like Debezium in creating reliable, real-time applications by connecting Postgres with messaging systems for downstream processing.