#shell #debezium #elasticsearch #kafka #kafka_connect #kafka_streams #ksql #mysql #syslog

https://github.com/confluentinc/demo-scene

#java #data_stream #data_streaming #data_streams #docker #enmasse #hacktoberfest #kafka #kafka_connect #kafka_streams #kubernetes #kubernetes_controller #kubernetes_operator #messaging #openshift

https://github.com/strimzi/strimzi-kafka-operator

#typescript #javascript #go #opensource #kafka #reactjs #metrics #prometheus #self_hosted #tracing #stream_processing #druid #gsoc #kafka_streams #observability #distributed_tracing #application_monitoring #jaegertracing #opentelemetry #open_telemetry

https://github.com/SigNoz/signoz

#typescript #apache_kafka #big_data #cluster_management #event_streaming #hacktoberfest #kafka #kafka_brokers #kafka_client #kafka_cluster #kafka_connect #kafka_manager #kafka_producer #kafka_streams #kafka_ui #opensource #streaming_data #streams #web_ui

https://github.com/provectus/kafka-ui

#java #data_stream #data_streaming #data_streams #hacktoberfest #kafka #kafka_connect #kafka_streams #kubernetes #kubernetes_controller #kubernetes_operator #messaging #openshift

Strimzi helps you run Apache Kafka on Kubernetes or OpenShift easily. It provides quick start guides, detailed documentation, and a community support system. You can get help through Slack, mailing lists, or GitHub discussions. Strimzi also allows you to contribute by fixing issues, improving documentation, or participating in community meetings. This makes it easier to manage and use Kafka clusters in a cloud-native environment, which is beneficial for users who need reliable and scalable messaging systems.

https://github.com/strimzi/strimzi-kafka-operator

#java #apache_kafka #big_data #cluster_management #event_streaming #hacktoberfest #kafka #kafka_brokers #kafka_client #kafka_cluster #kafka_connect #kafka_manager #kafka_producer #kafka_streams #kafka_ui #opensource #streaming_data #streams #web_ui

UI for Apache Kafka is a free, open-source web tool that helps you manage and monitor Apache Kafka clusters easily. It's lightweight and fast, making it simple to track key metrics like brokers, topics, partitions, production, and consumption. You can set it up quickly with a few commands and run it locally or in the cloud. The tool offers features like multi-cluster management, performance monitoring, browsing messages, and dynamic topic configuration. It also supports secure authentication and role-based access control. This makes it easier to observe data flows, troubleshoot issues, and ensure optimal performance of your Kafka clusters.

https://github.com/provectus/kafka-ui