Working in Units: How to Decouple the Database and Domain Layers in Python

A crucial element of architecting a software application for scale is the collaboration of domain experts and developers. For that to happen, the application must separate the domain layer— where elements that represent the real world reside—from the infrastructure layer—where these elements are translated into precise software processes.

Within the Fintech team at Kiwi.com, we are rearchitecting a critical service to accept more payment providers. As part of this refactor, we are adopting the Unit of Work pattern to disentangle domain entities from the database processes that represent them. This way, domain experts can share their knowledge with developers more easily, and developers can find opportunities for optimization without the involvement of domain experts in the process.

Attendees will gain a solid understanding of how to implement the UoW pattern in their Python applications, how it fits into the broader context of DDD, and how to prepare their code for future growth.

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4. @oh_duran Kleppman, Martin. 2017. Designing Data Intensive Applications. O’Reilly Media.
5. @oh_duran Kleppman, Martin. 2017. Designing Data Intensive Applications. O’Reilly Media.
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12. @oh_duran Krikorian, Raffi. 2013. Timelines at Scale. QCon San Francisco. infoq.com/presentations/Twitter-Timeline-Scalability/
13. @oh_duran Kleppman, Martin. 2017. Designing Data Intensive Applications. O’Reilly Media.
14. @oh_duran Kleppman, Martin. 2017. Designing Data Intensive Applications. O’Reilly Media.
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18. @oh_duran Persistence Ignorance
19. Working in Units How to Decouple the Database and Domain Layers in Python Alvaro Duran Senior SWE - Fintech @ Kiwi.com @oh_duran
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21. @oh_duran Data Mapper
22. @oh_duran Repository
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24. @oh_duran Unit of Work
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28. @oh_duran Use Case Layer Domain Layer UoW Repos Domain Process
29. @oh_duran: Working in Units
30. @oh_duran thank_you alvaro.duran@kiwi.com alduba.substack.com