Change Data Streaming Patterns for Distributed Systems
summary
The talk explains how open-source Change Data Capture (CDC) with Debezium can solve common microservices challenges. It covers using the Outbox Pattern to avoid unreliable dual-writes, applying the Strangler Fig Pattern to migrate a monolith into microservices incrementally, and implementing long-running distributed transactions with a CDC-based Saga Pattern.
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chapters (8)
- 0:00Start
- 1:38Debezium-log-based Change Data Capture
- 3:54Debezium: Data Change Events
- 5:22Debezium: Supported Databases
- 8:04The Problem: Data Exchange Between Services
- 16:33Strangler Fig Pattern
- 21:19Transformation of CDC Events
- 24:44Saga Pattern
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