Automated documentation for event-driven applications built with Spring Boot
Example Application to demo various flavours of handling domain events in Spring Boot
Using Axon + Spring Cloud + Spring Cloud Stream + JPA to implement event sourcing and CQRS
Project goal: Explore Kafka, Kafka Connect, and Kafka Streams. Components: store-api: Inserts/updates MySQL records. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors: Listen to Kafka, insert/update Elasticsearch docs. store-streams: Listens to Kafka, processes with Kafka Streams, pushes new messages to Kafka.
Demo saga pattern, outbox pattern using Spring Boot, Debezium, Kafka, Kafka Connect
Simple Event Driven Microservices with Spring Cloud Stream
The goal of this project is to implement a "News" processing pipeline composed of five Spring Boot applications: producer-api, categorizer-service, collector-service, publisher-api and news-client.
Source code for Learning Spring Boot 2nd Edition
Java MTCNN face detection using ND4J and trained TensorFlow models
基于Spring Cloud Alibaba的前后端分离微服务在线学习平台，整合了Spring Security鉴权，Seata分布式事务，消息驱动RabbitMQ，缓存Redis，以及alibaba全套服务发现，服务配置，流量控制，监控等
The goal of this project is to implement two Spring Boot applications: bitcoin-api and bitcoin-client. The bitcoin-api application simulates BTC price changes, while the bitcoin-client application listens to these changes and updates a real-time UI. The bitcoin-client UI is secured using Basic Authentication.
End to End project for Kafka Streams using Spring Cloud Kafka streams
sample spring cloud application that integrates with rabbitmq through spring cloud stream framework as shows how to setup message-driven microservices basing on publish-subscribe model, consumer groups
Demo illustrating the usage of Spring Cloud Stream in order to integrate with Kafka Streams
spring cloud 项目实践总结
Developer Workshops related to the Java development on OpenShift
CQRS implementation using Debezium + Spring Cloud Stream + Kafka Connect + Kafka + Druid
Java Spring Cloud Stream template for the AsyncAPI Generator
In this project, we will implement two Spring Boot Java Web application called, streamer-data-jpa and streamer-data-r2dbc. They both will fetch 1 million of customer's data from MySQL and stream them to Kafka. The main goal is to compare the application's performance and resource utilization.
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