Interview

on YouTube ↗03m

" summary

Kafka Streams as a Java library on top of Kafka makes stream-processing applications fault-tolerant and scalable by embedding state and processing logic in the app rather than a separate cluster. Deployment focuses on running Kafka Streams inside Docker and Kubernetes on cloud, covering orchestration patterns, stateful storage and rebalance behavior, and operational trade-offs. Also covers using the Scala API and declarative/functional pipelines and practical tips for putting these apps into production.

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