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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 records from MySQL and stream them to Kafka. The main goal is to compare the application's performance and resource utilization.
The goal of this project is to play with Spring Cloud Stream Event Routing and CloudEvents. For it, we will implement a producer and consumer of news & alert events.
The goal of this project is to create two applications: one as a Spring Boot producer and the other as a Spring Boot consumer. We'll be using Spring for Apache Kafka and Spring Cloud Stream.
Use docker compose to install the kafka cluster with UI tools: CMAK and Kafdrop. There are also some basic CIL of Kafka, that will be executed within images.
This repository provides a Docker Compose configuration to run Apache Kafka and Zookeeper using Bitnami images. Additionally, it includes Kafdrop, a web-based UI for monitoring Kafka topics.
Implements an event-driven architecture where events/messages are sent from a client to a Kafka queue via a tRPC server, and subsequently to an end provider/service. The project is organized in a monorepo and includes repository management tools such as lint, Husky, and Commitlint.