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Learn how to implement robust database sharding strategies in Spring Boot microservices, leveraging JPA and PostgreSQL to overcome scalability bottlenecks, manage high-volume data, and build truly resilient distributed systems.
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Dive deep into building truly fault-tolerant, highly available event-driven microservices by mastering advanced Apache Kafka patterns like transactional producers/consumers, dead-letter queues, and robust retry mechanisms with Spring Boot 4.0 and Java 25.- Published on
This post provides a deep dive into the Transactional Outbox Pattern, an indispensable architectural solution for ensuring atomicity and data consistency when updating a database and publishing events in distributed Spring Boot applications using JPA and Apache Kafka.