Learn how to easily implement real-time CDC using PostgreSQL and Redpanda for stress-free inventory tracking.

Redpanda

Change Data Capture (CDC) enables real-time tracking of database changes by streaming them to other systems. This tutorial demonstrates building a real-time inventory tracking system using PostgreSQL's logical replication feature and Redpanda Connect. The implementation involves configuring PostgreSQL for CDC, setting up Redpanda Connect as a connector to stream changes to Redpanda topics, and creating a Python application that simulates inventory updates. The guide covers Docker setup, database configuration, user permissions, YAML connector configuration, and verification steps to consume the streamed data.

Real-time CDC for inventory tracking with PostgreSQL

Step 2. Run PostgreSQL and configure it for CDC

Step 3. Configure and run the PostgreSQL connector

Step 4. Create and run the retailer application