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This session compares request-driven and event-driven communication in microservices and explains how Apache Kafka can provide a persistent event history for loosely coupled services. It also discusses event processing and how stored state can help services operate independently.
Syllabus
Introduction
Agenda
Where do you come from
World changes
Synchronous
What are MicroServices
API Gateways
Synchronous Request Response
What is eventdriven
Why not eventdriven
Publishing events
Streaming sources
Event processing
Event integration
Traditional systems
CQRS
Replayer
Events
State and State
Event store
Historical data
Big data cluster
Recap
Apache Kafka
Kafka Connect
Log compaction based
Change data capture explained
Kafka streams explained
Local results doors
Result store
Summary
Taught by
Devoxx