Implementing Event-Driven Microservices architecture in Functional language

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" summary

Shows how to build event‑driven microservices in F# using Domain‑Driven Design to define service boundaries, Discriminated Unions to model domain events and responses, and Computation Expressions to express workflows. Covers event sourcing with List.fold, distributed sagas (as an alternative to two‑phase commits) for eventual consistency, and using F# Type Providers or IDL tools (Thrift/Protobuf via C#) to evolve service interfaces; emphasizes pure functions, immutability and scalability.

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" chapters (40)

1. 0:00This recording is from NDC Oslo 2018
2. 0:45Objectives
3. 1:01Monolithic: The old school approach...
4. 2:18Microservices: The Brave new world...
5. 3:04Microservice Architecture
6. 4:34Advantages
7. 5:36Microservice: A functional view
8. 7:54Why not to use OOP?
9. 11:57Modelling a Service using FP
10. 13:55Implementation: Example in F#
11. 15:11Asynchronous workflows
12. 15:56Loose Coupling implies Distributed Data
13. 17:29Domain Driven Design (DDD)
14. 18:37Elements of DDD
15. 19:43DDD: Aggregates
16. 20:35Data Partition Strategies: Use DDD
17. 23:40DDD: Architecture Layers
18. 26:19Problems with Distributed Data
19. 27:43Cannot use ACID Transactions
20. 29:56Cannot use 2-Phase Commit
21. 30:55Eventual Consistency
22. 34:10Event Driven Architecture
23. 35:53Introducing Sagas
24. 38:09Communication: Request/Response
25. 40:09Communication: Event-Driven
26. 41:10Communication Patterns
27. 42:21Contract Management
28. 44:13Event Sourcing: Introduction
29. 47:38Implementing Event Sourcing in F#
30. 49:08Event Sourcing: Benefits & Drawbacks
31. 50:15Command Query Responsibility Segregation
32. 51:10Multiple Views from Single events stream
33. 51:55CORS: Benefits & Drawbacks
34. 52:14Testing Microservices (Request/Response)
35. 53:01Testing Microservices (Event Driven)
36. 53:20Static Analysis of Functional style code
37. 54:45Scalability
38. 55:04Code Correctness
39. 56:01Case Study: Twitter
40. 56:31Summary

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