Nameko for Microservices

on YouTube ↗41m

" summary

Claims that Nameko makes microservices easier to write and test by providing dependency injection, entry points and test helpers; it ships AMQP entry points (RPC and pub/sub), a timer and experimental WebSocket support and recommends AMQP RPC and pub/sub for internal service-to-service messaging. Examples show a memcache dependency and a worker factory for unit tests. Production use at onefinestay (closed source) proves it scales to real workloads; monitoring relies on Logstash, Elasticsearch and Kibana for tracing and analysis.

AI-written summary · about

" chapters (26)

1. 0:00Introduction
2. 0:56Microservices
3. 1:40What are microservices
4. 3:22Reasons for adopting microservices
5. 4:58Independently deployable
6. 5:33Independently scalable
7. 6:38Language choice
8. 6:54Microservices are not monolithic
9. 7:40Conways Law
10. 9:19DevOps overhead
11. 9:37Microservices are post CD
12. 10:40Embrace the domain
13. 11:23Decentralize
14. 13:23Complexity
15. 14:34Questions to Consider
16. 14:59Are You Ready
17. 15:26Continuous Continuous Spectrum
18. 16:07Laker
19. 16:55Design principles
20. 17:31Code examples
21. 19:13Dependencies
22. 20:32Extensions
23. 22:42WorkerFactory
24. 24:23Summary
25. 25:53Thanks
26. 26:12Question

" related talks

• 27mProgressive Microservices with NodeJSShashank Sharma · Developer Summit 2020
• 52m10 LESSONS LEARNED FROM USING KAFKA IN 1000 SCALA MICROSERVICESNatan Silnitsky · Scalar 2020
• 28mPractical Microservices, Practical WhiskeyJonathan Schabowsky · SpringOne Platform 2017
• 44mLong-lived microservicesJan Machacek · Scala Days Copenhagen 2017
• 27mSimplifying Building and Managing Microservices with MicroAsim Aslam · Golang UK 2016
• 43mGo micro with MicroservicesMariusz Gil · International PHP Conference Spring 2017
• 49mPractical Eff monad for microservicesEric torreborre · Scala Days Copenhagen 2017
• 31mHundreds of Microservices without breaking your APIsMichael Haberman · Conf42 Cloud Native 2021