Evolving Your Containerized REST Based Microservices to Adapt to EDA

on YouTube ↗49m

" summary

A containerized insurance claims demo shows how to move REST microservices to asynchronous EDA using EventBridge as event broker, SQS as an event store, Lambda and Step Functions for document workflows, and ECS Fargate or EKS for existing services. Document recognition custom labels and fraud checks fire events that trigger settlement and vendor flows; adding vendor service on EKS takes under two days with no core logic changes. Hexagonal adapters, CDK provisioning and KEDA for scaling prove the pattern works and narrows the fault impact radius.

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" chapters (23)

1. 0:00Introduction
2. 2:00Event driven architecture matters
3. 3:23Traditional vs event driven
4. 10:11Insurance claims use case
5. 12:18Live demo: claims system
6. 21:12Event broker deep dive: EventBridge
7. 23:00Event compute with Lambda and SQS
8. 24:26Document processing with Step Functions
9. 25:49Adding containers to EDA
10. 27:38ECS Fargate for EDA
11. 28:19Event driven scaling with Kubernetes
12. 31:14Demo with AWS CDK
13. 32:17Benefits of event driven
14. 33:18Polyglot architecture & integrations
15. 35:08Key takeaways
16. 36:59Reducing fault impact with EDA
17. 37:20EDA patterns for data processing
18. 38:47Scheduling ECS with EventBridge
19. 39:31Scaling with DynamoDB & Kinesis
20. 40:57Private endpoints & ECS scaling
21. 42:02Hexagonal architecture for EDA
22. 45:40Choosing services for API
23. 46:46Summary

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