Building Event Driven Services with Apache Kafka and Kafka Streams
summary
Explains how Apache Kafka plus Kafka Streams turn event streams into local state and scalable services, using CDC connectors, Avro schema registry and Kafka transactions to keep updates atomic. Shows a working microservices demo that journals orders, replicates customer and stock data into local views, and joins streams with a five-minute tumbling window to flag fraud where count > 3. Claims platform handles massive ingest like 100 terabytes a day, supports rewind/replay and compaction, and the example code runs.
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chapters (11)
- 0:00Start
- 3:36Streaming Platforms
- 11:25Problem with Service Architectures
- 15:11Event Driven Model
- 22:26Ordering Guarantee
- 25:43Compacted Log
- 26:17Connectors
- 27:06Change Data Capture
- 29:25Windows and Retention
- 37:46Schema Registry
- 39:18Schema Migration
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