From Domain to Delivery: End-to-End Clean Architecture in Python
summary
A demo builds an end-to-end Python pipeline applying Clean Architecture, with concrete modules for entities, use cases, controllers and adapters. It fetches market data via Binance Kline fetch, processes and stores it in BigQuery storage, trains models and serves predictions through Vertex AI predictions, and provisions cloud resources with Pulumi infra. Four to five use cases orchestrate fetch → transform → warehouse → train → predict, adapters let local vs cloud storage swap without code changes, and CI/CD hits an artifact-image retrieval issue with Cloud Functions.
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chapters (9)
- 0:00Introduction and speaker intro
- 1:49What is clean architecture
- 5:27Clean architecture layers explained
- 12:28End-to-end solution demo
- 16:57Entities implementation
- 17:18Use cases implementation
- 18:46Storage adapters and environments
- 20:13Infrastructure as code with Pulumi
- 22:01Closing and Q&A
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