Confluent Schema Registry for Kafka

Elastic data processing with Apache Pulsar and Apache Flink

Learn the Confluent Schema Registry & REST Proxy

Spring Boot 3 Microservices Course Repository

Project goal: Explore Kafka, Kafka Connect, and Kafka Streams. Components: store-api: Inserts/updates MySQL records. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors: Listen to Kafka, insert/update Elasticsearch docs. store-streams: Listens to Kafka, processes with Kafka Streams, pushes new messages to Kafka.

Experiment with Kafka, Debezium, and ksqlDB. research-service: Performs MySQL record manipulation. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors and kafka-research-consumer: Listen to Kafka, insert/update Elasticsearch. ksqlDB-Server: Listens to Kafka, performs joins, and pushes new messages to new Kafka topics.

Ns4Kafka brings namespaces on top of Kafka brokers, Kafka Connect and Schema Registry.

Kafka Connect Transform to copy Avro schemas between Schema Registries

Confluent REST Proxy for Kafka

A simple Spring Boot app that talks to Kafka using Avro and Schema Registry

Goal: create a Spring Boot application that handles users using Event Sourcing. So, whenever a user is created, updated, or deleted, an event informing this change is sent to Kafka. Also, we will implement another application that listens to those events and saves them in Cassandra. Finally, we will use Testcontainers for end-to-end testing.

The purpose of this module is to solve the problem of multiple keystores using Spring Boot + Kafka + Schema Registry + SSL and Spring Schema Resgistry Test

Source code repository for the 2nd Edition of Kafka Streams in Action

Event Sourcing(CQRS) and Materialized views with Kafka Streams

Pulsar IO Kafka Connector

Sample Quarkus application connected with Apache Kafka, Apicurio deployed in Kubernetes or OpenShift

A bridge between synchronous HTTP workload and event-driven landscapes powered by Apache Kafka.

The VLINGO XOOM Schema Registry.

The goal is to play with Spring Kafka. We've implemented 5 examples of producer and consumer services that exchanges messages through Kafka using different types of serialization and approaches.

Schema Registry