Pattern: Microservice Data Synchronization Microservice Architectures
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Pattern: Microservice Extraction Migrating from Monoliths to Microservices
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Pattern: Materialize Aggregate Views
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Pattern: Ensuring Data Quality Detecting Missing or Wrong Data
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Pattern: Leverage the Powers of SMTS Single Message Transformations
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Debezium Current Status
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Summary
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Resources
Description:
Explore change data capture (CDC) for microservices using Debezium in this 42-minute conference talk from Devoxx. Learn about CDC's role in synchronizing data between microservices, maintaining CQRS-style read models, updating caches and full-text indexes, and feeding operational data to analytics tools. Discover how Debezium, an open-source CDC solution based on Apache Kafka, captures changes from datastores like MySQL, PostgreSQL, and MongoDB. Understand near real-time event reactions and Debezium's design for data correctness and completeness. Watch a live demo on setting up a change data stream from an application's database without code changes, sinking change events into other databases, and pushing data changes to clients using WebSockets. Gain insights into CDC use cases, Kafka's role in CDC, message structures, and various patterns for microservice data synchronization, extraction, and quality assurance.