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

How to get started with Kafka, NodeJS & ExpressJS

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

Run Kafdrop in a Openshift service mesh using Helm

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.

Reddit Sentiment Analysis of the War in Palestine

A FastAPI and Apache Kafka project built in a Docker container

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

Spring Cloud Stream playground with Kafka binder

A realtime ingestion and profiling engine for fast data.

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

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

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.