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.

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.

A playground with open source technostack for #acikseminer presentation demo

Data pipeline involving pentaho DI, airflow and kafka. Run all services together using Docker.

Restaurants data scraper and generate business insight from scraped data.

Estudando Kafka com Spring

Run Kafdrop in a Openshift service mesh using Helm

Confluent Kafka image and the Kafdrop image, which is a popular open-source web UI for managing Kafka clusters.

How to get started with Kafka, NodeJS & ExpressJS

Reddit Sentiment Analysis of the War in Palestine

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.

Projeto contem exemplo do uso de Kafka | Schema Registry | Avro | Docker | Kafdrop | Producer | Consumer

Spring Cloud Stream playground with Kafka binder

A FastAPI and Apache Kafka project built in a Docker container

A realtime ingestion and profiling engine for fast data.

Spring Boot, Kafka, Zookeeper, Kafdrop(kafka viewer), Kafka producer, Kafka consumer, Spring Data/JPA, MySQL, Microservices, Rest API

Managed monorepo, that implements event driven flow using tRPC and Kafka.

The Microservices NextGen 🇩🇿 🇨🇦

A modern e-commerce platform that has with assumption many sets of microservices. For this exercise, you are going to focus on the order microservice using Spring Boot, Kafka, Postgres.