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This post dives deep into optimizing data ingestion and bulk persistence challenges in Spring Boot applications, detailing advanced JPA and native JDBC batching techniques to achieve blazing-fast writes to PostgreSQL.
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This post dives deep into a crucial pattern for event-driven microservices: how to build and maintain a service’s authoritative domain aggregates by consuming and processing events from Apache Kafka, ensuring autonomous state management and reducing inter-service coupling.- Published on
This deep dive explores how to maintain data integrity and prevent lost updates in event-sourced Spring Boot microservices by implementing robust Optimistic Concurrency Control, a crucial pattern for building resilient and consistent distributed systems.- Published on
In event-driven architectures, building performant and continuously updated read models from complex event streams is a significant challenge. This post deep-dives into leveraging Kafka Streams within Spring Boot to construct real-time, resilient materialized views, solving the complexities of data projection for scalable microservices.- Published on
Protect your Spring Boot microservices from abuse, resource exhaustion, and cascading failures by implementing robust, distributed API rate limiting using Redis and the Token Bucket algorithm.