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Event Streaming Applications with Kafka Streams, Spring Kafka and Actuator

TalkinDutchat Voxxed Days Bucharest 2022 · 2022-03-23..03-25· [data-engineering, java]
name:Ko Turk
slides:none on file

Shows how to build event-streaming applications with Apache Kafka using Spring Kafka for producing and consuming (tested via Testcontainers), Kafka Streams for stream processing patterns like branching, joining and mapping (example: fraud detection topology), and Spring Boot Actuator for monitoring stream metrics. Focuses on replacing synchronous REST with asynchronous, scalable, fault-tolerant, replayable event-driven designs for big-data scenarios.

AI-written summary · about

  1. 0:00Welcome to Kafka Streams
  2. 4:07Introduction
  3. 8:42Kafka Streams basics
  4. 13:20Payment streaming app
  5. 19:07Real-time transactions
  6. 24:33Kafka topologies
  7. 27:32Filtering payment data
  8. 31:11Advanced streaming use cases
  9. 35:13Monitoring with Actuator
  10. 38:26Metrics and deployment tips
  11. 40:11Q&A
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