In microservices, one logically atomic operation can frequently span multiple microservices. Even a monolithic system might use multiple databases or messaging solutions. With several independent data storage solutions, we risk inconsistent data if one of the distributed process participants fails — such as charging a customer without placing the order or not notifying the customer that the order succeeded. Distributed process failures: In this article, I'd like to share some of the techniques I've learned for making data between microservices eventually consistent.


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tutorial,microservices,data,software architecture,distributed systems,data consistency