Overcome By Events - Apache Kafka And Event-oriented Architecture
summary
Claims that event streams are becoming the primary substrate for apps and analytics and that Apache Kafka can be the organizational backbone: a continuous commit log for everything that happens, log-compacted tables to treat state as streams, and hundreds of connectors plus horizontal scaling. Emphasizes transactional, exactly-once semantics for stateful stream joins and counts, real deployments in banks, stock exchanges and hospitals, and tens of thousands of existing integrations that cut integration effort.
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chapters (9)
- 0:00Introduction to event-driven systems
- 1:04What are events and event data
- 2:30Events in microservices architecture
- 4:36Events in monitoring systems
- 6:41Events in data pipelines
- 9:10Real-time analytics and feedback loops
- 10:55Tables versus event streams
- 12:03Kafka as a streaming platform
- 15:55Community and ecosystem impact
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