Modern and performant Kafka client library for Ruby based on librdkafka
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Updated
Oct 1, 2026 - Ruby
Modern and performant Kafka client library for Ruby based on librdkafka
Standalone Karafka library for producing Kafka messages
The Python fake data producer for Apache Kafka® is a complete demo app allowing you to quickly produce JSON fake streaming datasets and push it to an Apache Kafka topic.
A DuckDB Extension for Kafka
MCP Server for Apache Kafka
Are you tired of collecting Apache Kafka client metrics using JMX? Worse, you even can't do that? Here is a solution. With the KIP-714, you can collect client metrics from the Kafka broker using OpenTelemetry.
Streaming data pipeline that learns from 47GB of historical eBird observations to generate synthetic bird sightings and detect anomalies using Java, Kafka Streams, and Docker.
An example project to showcase the capabilities of Apache Camel together with technologies like Kafka, Debezium, Artemis, and more.
Distributed Random Forest in Apache Flink
A microservices-based Patient Management System built with Spring Boot, featuring inter-service communication via gRPC & Apache Kafka, JWT authentication, Spring Cloud API Gateway, and Docker containerization.
A read-only Kafka CLI tool for capturing cluster state and detecting drift during incidents.
A curated list of awesome Kafka tools and resources.
Implementation of Apache kafka with Spring boot Consumer and Producer application.
This project integrates stock market analysis, tweet sentiment analysis, and stock price forecasting using ARIMA and GRU. It fetches data from MySQL, MongoDB, and streams via Kafka. YCSB benchmarks MySQL and MongoDB performance. The system predicts stock prices and analyzes public sentiment.
This application developed using Spring Boot, Java19, MySQL, Spring Data JPA, Maven, Lombok. This demo Spring Boot application is a updated version that provides high structure of Kafka messaging framework implementation with the Producer and Consumer configuration with the Kafka Template, Kafka Annotations.
Production-style Apache Kafka multi-region disaster recovery (DR) and high availability (HA) setup using multi-broker clusters, MirrorMaker2 replication, failover/fallback architecture, PostgreSQL, Prometheus, Grafana, and Kafka UI with Docker Compose.
Kafka program to ingest wikimedia's real time streaming data into MySQL for data analytics
Apache Kafka Java producer from Digital Wristband (fake data)
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