Over the years, I have helped organizations design and deliver large-scale data platforms, and one recurring lesson has remained constant: CDC failures are rarely caused by technology alone. They are usually the result of unclear ownership, missing operational controls, and undocumented assumptions between database and data teams.
This playbook reflects my experience implementing and operating Change Data Capture solutions in production environments. It brings together the operational practices, architectural patterns, governance models, and implementation guidance that I believe are essential for running PostgreSQL CDC on AWS RDS with Databricks Lakeflow Connect successfully at scale.
My goal is not simply to explain how to configure CDC, but to share the practical lessons learned from real-world projects so that teams can avoid common pitfalls and build reliable, supportable, and production-ready Lakehouse data platforms.
Baris ERGUN
Big Data Consultant/ RSA
