Confluent Platform Demo including KSQL, Control Center, Replicator, Confluent Schema Registry, Security
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README.md

Monitoring Kafka streaming ETL deployments

This demo shows users how to deploy a Kafka streaming ETL using KSQL for stream processing and Confluent Control Center for monitoring. All the components in the Confluent platform have security enabled end-to-end. Run the demo with the playbook and video tutorials.

Table of Contents

Overview

The use case is a streaming ETL deployment on live edits to real Wikipedia pages. Wikimedia Foundation has IRC channels that publish edits happening to real wiki pages (e.g. #en.wikipedia, #en.wiktionary) in real time. Using Kafka Connect, a Kafka source connector kafka-connect-irc streams raw messages from these IRC channels, and a custom Kafka Connect transform kafka-connect-transform-wikiedit transforms these messages and then the messages are written to a Kafka cluster. This demo uses KSQL for data enrichment, or you can optionally develop and run your own Kafka Streams application. Then a Kafka sink connector kafka-connect-elasticsearch streams the data out of Kafka, applying another custom Kafka Connect transform called NullFilter. The data is materialized into Elasticsearch for analysis by Kibana.

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Documentation

You can find the documentation for running this demo, playbook, and video tutorials at https://docs.confluent.io/current/tutorials/cp-demo/docs/index.html.