From zero to hero with Apache Kafka's connect API
summary
Live demo wires a MySQL binlog source into Kafka via Kafka Connect and pushes the same topic to two sinks: Elasticsearch and Neo4j, using Avro serialization and a schema registry. Configuration shows connector vs task vs worker, standalone vs distributed modes, and simple Single Message Transforms. Troubleshooting covers the common “magic byte” Avro vs JSON error, dead‑letter topics, and offset recovery; the pipeline mostly runs successfully despite a few gremlins.
AI-written summary · about
chapters (7)
- 0:00Introduction to Kafka Connect
- 5:06Live Kafka Connect demo
- 12:29Understanding Kafka Connect internals
- 22:12Deploying Kafka Connect
- 29:03Troubleshooting Kafka Connect
- 36:28Running Kafka Connect in containers
- 37:54Q&A and closing
related talks
45mFrom Zero to Hero with Kafka Connect
44mNo More Silos: Integrating Databases and Apache Kafka
39mKafka as a Platform: The Ecosystem from the Ground Up
50mIntroduction to Apache Kafka
43mApache Kafka and KSQL in Action: Let’s Build a Streaming Data Pipeline!
53mApache Kafka and KSQL in Action : Lets Build a Streaming Data Pipeline!
05mPREVIEW: Kafka Connect Best Practices
26mConnecting distributed data to Azure CosmosDB with Apache Kafka
