A reliable data ingestion service with FastAPI, SQLModel and Dramatiq

Understand the web-queue-worker architecture to implement a service able to ingest and run expensive analysis on thousands of documents.

00:00 Introduction
01:31 Web-Queue-Worker architecture
04:18 Code showcase
13:25 Run it locally
16:46 Deploy on Heroku
25:05 Stress test
27:47 Conclusion

• The concepts of the FastAPI framework, including aspects relating to asynchronous programming, type hinting, and dependency injection
• Develop efficient RESTful APIs for data science with modern Python
• Build, test, and deploy high performing data science and machine learning systems with FastAPI

[luiscevallos]

Please please more videos about fastapi please

[enterprisecloudnative]

I have the same setup but with containers

[coxinitus]

Hi! good example, but what about checking the status of one processing? I figure out that you can store the result into a database but, is any option to check the task state on the fly?

[jdgaravito]

Wow, thanks, please more SQLModel and FastAPI Videos please!

[vladimirtalpa]

Thank you for demonstration of this wonderful stack of technologies in one chain - FastAPI - Redis - Dramatiq!!!