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Software Development

Services have to inform each other about important business events, such as price changes or order events, in microservice architectures. These integration events are transmitted using methods such as message queues or HTTP POST requests. Guaranteeing consistency is critical to ensuring that events are only dispatched if the business logic in the sending service is successfully completed. The ‘event store’, which was inspired by Vaughn Vernon, does just that. In my blog post, I describe an implementation scenario involving Java using Spring and Spring Data JPA, where Spring application events play a different role than integration events.

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Software Development

Microservices have many advantages. But the monitoring and maintenance of complex microservice architectures are time-consuming. The so-called service mesh can provide a remedy. Stephan Wies explains in this article how this works and what advantages and disadvantages it offers.

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