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► LEARN MORE: https://cnfl.io/microservices-101-mod... Event Sourcing is a pattern of storing an object's state as a series of events. Each time the object is updated a new event is written to an append-only log. When the object is loaded from the database, the events are replayed in order, reapplying the necessary changes. Check out the Designing Event-Driven Microservices course on Confluent Developer for more details: https://cnfl.io/microservices-101-mod... The benefit of this approach is that it stores a full history of the object. This can be valuable for debugging, auditing, building new models, and a variety of other situations. It is also a technique that can be used to solve the dual-write problem when working with event-driven architectures. RELATED RESOURCES ► What is the Dual Write Problem?: • What is the Dual Write Problem? | Des... ► Microservices course playlist: https://bit.ly/designing-event-driven... ► Event Sourcing: https://cnfl.io/4breRfT ► Event Sourcing and Event Storage with Apache Kafka®: https://cnfl.io/3w0n627 ► Microservices: An Introduction https://cnfl.io/3ZMt3up ► Event-Driven Microservices Architecture: https://cnfl.io/48FSYbj ► Migrate from Monoliths to Event-Driven Microservices: https://cnfl.io/3tsqlhu ► Get Started on Confluent Developer: https://cnfl.io/48FnKRB CHAPTERS 00:00 - Intro 00:22 - How are objects stored in traditional databases? 01:01 - What is an audit log, and why is it useful? 01:35 - Do audit logs create duplicated data? 01:57 - Should the audit log be used as the source of truth? 02:23 - What is event sourcing? 03:27 - What are some advantages of event sourcing? 04:28 - Does event sourcing solve the dual-write problem? 05:02 - What are some disadvantages of event sourcing? 05:20 - Closing -- ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #microservices #apachekafka #kafka #confluent