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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.
Postgresql
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Explore the critical architectural pattern of Data Projections for building highly scalable, eventually consistent read models in microservices, leveraging Spring Boot, Apache Kafka, and PostgreSQL to optimize data access and decouple concerns.- Published on
This post deep dives into implementing Change Data Capture (CDC) using Debezium, Apache Kafka, and Spring Boot to achieve robust, real-time data integration and event-driven microservices from traditional relational databases without direct application coupling.- Published on
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.- 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.