Backend-architecture

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.

This post deep dives into solving the critical production problem of managing evolving event data structures in Kafka-based microservices, ensuring compatibility and preventing system outages through robust schema evolution strategies with Avro and Schema Registry.

Navigate the complexities of concurrent programming with Java’s Structured Concurrency, a powerful paradigm that brings clarity, reliability, and simplified error handling to asynchronous operations, especially when paired with Virtual Threads in Spring Boot microservices.

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.

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.