Kafka Streams - From the Ground Up to the Cloud

on YouTube ↗38m

" summary

Explains how Kafka Streams runs as embedded Java apps tied to Kafka, integrated with Spring Cloud Stream and deployed via Spring Cloud Data Flow to Kubernetes; demonstrates a working word‑count pipeline (HTTP → Kafka Streams processor → log) on GCP that emits JSON counts to the log. Covers state stores replicated to Kafka changelogs, local disk snapshots for faster recovery, and transactional exactly-once processing, and recommends stateful sets with persistent claims for faster restart.

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" chapters (8)

1. 0:00Introduction and speaker background
2. 2:16Kafka Streams evolution and features
3. 11:22Word count example walkthrough
4. 16:25Spring Cloud Stream integration
5. 21:54Cloud deployments and orchestration
6. 27:25Stateful deployments in Kubernetes
7. 30:05Live demo setup and execution
8. 36:58Key takeaways and Q&A