Implementing Microservices with Scala and Akka

on YouTube ↗59m

" summary

Argues that practical microservices map to event-sourced bounded contexts rather than arbitrary line counts, implemented with Scala and Akka actors, CQRS and an event journal per service. Demonstrates a registry, a topics (Rapids) pub/sub bus and rivers that filter events, a process manager that creates a forum in a separate service, and a working end-to-end demo where create-product triggers discussion-started across services. Cites 12–20 ms REST latency and messaging throughputs from tens of thousands to millions/sec.

AI-written summary · about

" chapters (16)

1. 0:00Introduction and books
2. 0:59The danger of extremes
3. 4:21Monoliths vs microservices
4. 6:31Defining microservice size
5. 8:52DDD bounded context approach
6. 12:51Ubiquitous language cohesion
7. 17:20Event-driven architecture
8. 22:35Rapids, Rivers, and Ponds
9. 25:59Service interactions
10. 27:53Reactive principles in DDD
11. 32:06Distributed system demo
12. 34:34Code walkthrough
13. 40:43Process managers
14. 44:16Running the demo
15. 48:37CQRS implementation
16. 50:48Q&A and conclusion

" related talks

• 44mLong-lived microservicesJan Machacek · Scala Days Copenhagen 2017
• 48mChallenges in Implementing MicroServicesFred George · Agile Singapore Conference 2016
• 49mChallenges in Implementing MicroservicesFred George · GOTO Amsterdam 2015
• 41mHow to write microservices in Scala without AkkaPaweł Bogdan · Confitura 2023
• 58mImplementing Event-driven MicroservicesNikhil Barthwal · DevOpsCon Spring 2019
• 50mChallenges in Implementing MicroservicesFred George · GOTO Copenhagen 2015
• 37mBeyond Microservices: Streams, State & ScalabilityGwen Shapira · GOTO Chicago 2020
• 48mThe three paths of Scaling with AkkaFran Perez · Scala.IO 2017