Bootiful Stream Processing!
summary
Live-code builds a Spring Boot microservice that uses Spring Cloud Stream and the Kafka binder to produce Chuck Norris facts, consume them, and run a Kafka Streams word count that writes counts back to a topic. Demo uses Confluent Cloud for Kafka, auto-creates topics (facts, counts plus changelog and repartition), materializes counts in a state store, and exposes results via an interactive query REST endpoint. App packages with buildpacks and deploys to Kubernetes via Skaffold; processing and IQ work, load‑balancer shaping fails briefly.
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chapters (13)
- 0:00Start
- 10:30Spring Cloud Stream
- 26:22Java Faker
- 27:49Configuration
- 35:22Kafka
- 36:39Kafka Consumer
- 43:43Kafka Streams
- 46:47Kafka Streams Binder
- 49:59Data Flow
- 51:44Rest Controller
- 55:07Deploy this Application to Kubernetes
- 1:06:47Port Forwarding
- 1:08:22Kafka Tutorials
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