Football Data command line tool. Getting data from API Football and publishing it to the Kafka.
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Updated
Jun 30, 2024 - Go
Football Data command line tool. Getting data from API Football and publishing it to the Kafka.
Sync postgresql/mysql to postgresql/mysql using debezium and kafka connect
Lightweight message bus interface for .NET (pub/sub and request-response) with transport plugins for popular message brokers.
Klaw, the latest OS tool by Aiven, helps enterprises cope with Apache Kafka(r) topics, schema registry and connectors governance by introducing roles/authorizations to users of various teams of an org.
The Apache Kafka C/C++ library
💱 Trading application written in Scala 3 that showcases an Event-Driven Architecture (EDA) and Functional Programming (FP)
A place to save your photos, videos and memories.
Apache Kafka Streamlit application for real-time tracking of pharmacy sales using the start schema data model.
Ballerina Kafka Module.
This repository contains the source code for a Notification Service built using Java Spring Boot.This application utilise apache kafka to accept notifications and print it on console for confirmation.
This project provides an authentication service for microservices, built using Java Spring Boot with Docker and Jenkins integration. It have asynchronous messaging enabled over apache kafka when login is completed.
Worked Example Miner (WEM): A Comprehensive Tool for Analyzing Java Repositories.
Ruby and Rails efficient Kafka processing framework
Я прохожу курс "Apache Kafka for Event-Driven Spring Boot Microservices" на платформе Udemy.com
a PoC Sneaker Marketplace API built on event-driven architecture
AIOrchestra is a microservice-based application featuring an event-driven architecture. It provides personalized song recommendations using a custom-trained ML model with .NET Core, Kafka, Docker, and TensorFlow.
Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
A dockerized application for performing sentiment analysis, tag recognition, and text summarization on YouTube videos.
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