The harsh reality of Event Sourcing - mitigated with Spring and Axon on Tanzu Application Platform
summary
A live demo of a bike-rental app built with Spring Boot, Axon, and Tanzu Application Platform (Cartographer, buildpacks, Kpack, Knative) tries to scale globally and fails under load. Key findings: storing events in a relational DB slows as event streams grow, loading aggregates becomes costly, naive local caching regresses at scale, and scale-to-zero harms Axon startup. Remedies demonstrated include snapshotting, consistent hashing for command routing, and subscription queries for realtime UI; final demo still experiences deployment/startup and scaling rough edges.
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chapters (14)
- 0:00Introduction to A.D. Bike
- 1:32Scaling on Kubernetes
- 3:26Automating CI/CD pipelines
- 6:12Buildpacks and Kpac
- 9:10Knative and eventing
- 12:38Event sourcing architecture
- 15:01The harsh reality of scaling
- 19:12Performance optimizations
- 24:11Handling consistency
- 27:30Subscription queries
- 30:31Message routing patterns
- 35:51Live demo and troubleshooting
- 40:50Framework integration
- 44:40Q&A and closing
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