A playground with open source technostack for #acikseminer presentation demo
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Updated
Jan 9, 2024 - Java
A playground with open source technostack for #acikseminer presentation demo
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 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.
Data pipeline involving pentaho DI, airflow and kafka. Run all services together using Docker.
A realtime ingestion and profiling engine for fast data.
Restaurants data scraper and generate business insight from scraped data.
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.
How to get started with Kafka, NodeJS & ExpressJS
Projeto contem exemplo do uso de Kafka | Schema Registry | Avro | Docker | Kafdrop | Producer | Consumer
Spring Cloud Stream playground with Kafka binder
Run Kafdrop in a Openshift service mesh using Helm
Votacao microservice
Docker with node application
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