Apache Kafka is a distributed streaming platform that is used for building real-time data pipelines and streaming applications.
(Mirror: moved to https://gitlab.esss.lu.se/ecdc/ess-dmsc/kafka-to-nexus) Writes NeXus files from experiment data streamed through Apache Kafka.
Terraform provider for managing Apache Kafka Topics + ACLs
Source backend for website/mobile about electro, e-commerce using Java, using multi-language (EN, VI), and today's popular technologies
The Open source Resource as Code framework for Apache Kafka. Jikkou helps you implement GitOps for Kafka at scale!
(Mirror: moved to https://gitlab.esss.lu.se/ecdc/ess-dmsc/wherefore) Simple tool for listing known flatbuffer sources on a Kafka topic
Manage your topic's configuration (partitions, replication factor, parameters), ACLs, quotas, users and get stats, without any effort with this library. It does not use the Kafka scripts and does not require ssh connection to the remote broker.
An Apache Kafka playground
Confluent Kafka questions to practice for CCDAK
A web-based task management application where users can create, assign, and track tasks
This project showcases the process of streaming real-time cryptocurrency data using Kafka, storing the data in a MongoDB database, and visualizing the price trends over time with Python libraries like Matplotlib.
📨 An Viewer and Operator for Kafka on Cloud.
RealTimeIncrementalSync is a real-time data streaming system that fetches product updates from a MySQL database, serializes the data in Avro format, and streams it to Kafka. Kafka consumers deserialize the data and append it to JSON files, enabling real-time monitoring and analysis of product information.
A scalable architecture for real-time log processing and visualization. Built with a Kafka-Spark ETL pipeline, DynamoDB for storing aggregate real-time metrics, and Python Dash for interactive dashboards. Designed for high-throughput log ingestion, real-time monitoring, and long-term storage.
Practical examples with Apache Kafka®
Interactive visualization tool that helps developers understand Apache Kafka core concepts through animations. See how messages flow through topics and partitions, how consumer groups work, and how partition rebalancing happens when scaling consumers up or down.
Real-time data streaming project using Python, Pandas, and Confluent Kafka to publish and consume retail data through Kafka topics, demonstrating scalability and dynamic consumer behavior.
This repository contains a Spring Boot project integration with Apache Kafka. It showcases the setup for producing and consuming messages using Kafka.
All the resources you need to implement a functional simple architecture with an Accounts and an Email services using AsyncAPI, Anypoint Code Builder, and the available message brokers: Anypoint MQ, Kafka, Solace PubSub+, and Salesforce CDC/Platform Events
Add a description, image, and links to the kafka-topic topic page so that developers can more easily learn about it.
To associate your repository with the kafka-topic topic, visit your repo's landing page and select "manage topics."