End-to-End Automated Testing in a Microservices Architecture

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" summary

Company moves from a monolith to ~60 microservices run by 45 developers across seven teams and reduces hotfixes by shifting testing left. End-to-end tests submit REST requests, listen to RabbitMQ traffic, and store per-test event logs; assertions use Approval Testing (diffs against approved output) with filtering regexes. Tooling includes texttest and GoCD pipelines, a bill-of-materials workflow, dark deploys for production traffic checks, and data-driven test cases.

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" chapters (34)

1. 0:00Emily Bache
2. 2:04Microservices architecture
3. 4:06Multi-team development
4. 5:14Move towards Continuous Delivery
5. 5:43Pagero's release schedule
6. 7:12Test Pyramid: Mike Cohn
7. 8:44Testing Strategy for the Monolith
8. 9:35Unit tests
9. 9:58Learning TDD
10. 10:30Data-Layer & Service Tests
11. 13:11Test Pyramid for Microservices - Fowler
12. 14:49Microservice Tests
13. 16:31Testing in the pipeline
14. 19:35Example End-to-End Test Strategy
15. 21:52Test-API for creating accounts
16. 23:29Data-Driven Testing
17. 24:543 parts of a test
18. 26:49The "Approved" Result
19. 27:41There is a change in behaviour!
20. 28:43Scenario 2: it's a feature
21. 32:40Assertion vs Filtering
22. 33:31Approval Tests are not Isolated
23. 34:42Related Failure Example
24. 35:52Text Test Tool Support
25. 37:46Approval Testing overview
26. 39:00End-to-End test failure?
27. 39:26Debugging a failing test?
28. 44:18System tests split by feature area
29. 49:33Testing in Staging or Production?
30. 50:49Difference Testing
31. 52:28Regression Testing
32. 53:22Team-owned system test
33. 53:59Test in Production
34. 54:52Summary

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