#Schema-registry
Showing 21 of 21 repositories tagged #schema-registry, ranked by stars
Memphis.dev is a highly scalable and effortless data streaming platform
Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, , 20+ connectors
Apache Kafka, Apache Flink and Confluent Platform examples and demos
🛍 JSON schemas for Neovim
Kafka TUI client
Spring Boot 3 Microservices Course Repository
Namespaces for Apache Kafka.
Manage Confluent Schema Registry subjects through Infrastructure as code
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.
The goal of this project is to build a docker cluster that gives access to Hadoop, HDFS, Hive, PySpark, Sqoop, Airflow, Kafka, Flume, Postgres, Cassandra, Hue, Zeppelin, Kadmin, Kafka Control Center and pgAdmin. This cluster is solely intended for usage in a development environment. Do not use it to run any production workloads.
Ansible playbooks for the Confluent Platform
CLI for Confluent Cloud and Confluent Platform
Running Tools from Confluent Platform along with your Confluent Cloud™ Cluster
AI agent skills for building, operating and troubleshooting Apache Kafka applications. Topic audit, consumer lag, schema review, security, connectors and DLQ
Confluent for Visual Studio Code
A comprehensive Message Control Protocol (MCP) server for Kafka Schema Registry.
Collection of basic helm charts to be used in labs.
A versatile, high-performance Change Data Capture (CDC) engine built in Rust. Streams database changes into downstream systems like Kafka, Redis, NATS and etc, giving you full control over routing, transformation, and delivery.
Open-Source Apache Kafka Governance Platform
Ultimate Helm chart for Apicurio Registry
A microservice-based shopping webapp that uses API-first approach, Spring Boot 3, Kafka 3, Schema Registry, Liquibase, Flyway, gRPC, GraphQL, DGS, etc. with Docker Compose and Kubernetes deployment.