How do you handle data seeding in a Clean Architecture application?
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what is clean architecture Informational
- How does this separation enable independent development and testing? How does Clean Architecture support the testability of the core business logic by isolating it from the dependencies on the outer layers?
- How do you scale a Clean Architecture application vertically?
- Does it promote more specialized roles within the team?
- Where should these rules be enforced within the architecture? How does Clean Architecture deal with asynchronicity and concurrency?
- How does the architecture influence the design of the application's public interfaces? How does Clean Architecture handle the need for different representations of data for different purposes (e.g., domain model vs. data transfer objects)?
- How does the separation of concerns make it easier to write unit and integration tests for individual services? How can Clean Architecture be used in serverless environments?
- How are channel-specific presentation concerns handled? How can Clean Architecture be applied in the context of microservices architecture?
- Where should caching logic be implemented? How does Clean Architecture handle the processing and validation of user input?
- How can DDD principles inform the design of the domain layer in a Clean Architecture? How does Clean Architecture support the implementation of business rules and policies?
- How does the presentation layer act as a translator between the UI and the use cases? How does Clean Architecture handle different data formats and protocols when interacting with external systems?
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