Is this compatible with Spring Boot 3.x?

Yes, all patterns and dependency configurations are optimized for Spring Boot 3.x, Java 17+, and the latest Spring Cloud Stream releases.

What is the benefit of using the Transactional Outbox pattern provided?

The Outbox pattern ensures that database updates and message publishing happen atomically, preventing data inconsistency if a message broker is temporarily unavailable.

Can I use this for internal application events without a message broker?

Absolutely. The skill includes patterns for Spring's internal ApplicationEventPublisher and @TransactionalEventListener for in-process decoupling.

Does this skill support Apache Kafka integration?

Yes, it provides comprehensive patterns for KafkaTemplate, @KafkaListener, and Spring Cloud Stream functional binders for distributed messaging.

Spring Boot Event-Driven Patterns

Name: Spring Boot Event-Driven Patterns
Author: giuseppe-trisciuoglio

bygiuseppe-trisciuoglio

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126

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API Development

Implements robust Event-Driven Architecture patterns in Spring Boot applications using domain events, Kafka integration, and transactional outbox patterns.

This skill provides a comprehensive framework for building loosely-coupled microservices and reactive systems using Spring Boot 3.x. It guides developers through implementing Domain-Driven Design (DDD) events, ensuring strict data consistency with transactional listeners, and establishing reliable distributed messaging via Apache Kafka and Spring Cloud Stream. By incorporating advanced patterns like the Transactional Outbox and idempotent consumers, it enables the creation of resilient, scalable, and observable event-driven ecosystems that maintain integrity across distributed boundaries.

Key Features

01Apache Kafka and Spring Cloud Stream configuration

02Transactional Event Listeners for post-commit processing

03Reliable Transactional Outbox pattern implementation

04126 GitHub stars

05Resilience patterns including DLQs and exponential backoff

06Domain Event Design and ApplicationEventPublisher integration

Use Cases

01Building reactive data streams for real-time notifications and analytics

02Ensuring atomicity between database updates and message broker publishing

03Decoupling microservices through asynchronous, event-based communication

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add giuseppe-trisciuoglio/developer-kit spring-boot-event-driven-patterns

For use in Claude.ai and ChatGPT

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