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Building a crashproof cloud backend in Python using REST and PostgreSQL
- This guide shows how to build and deploy a crashproof Python backend for an online store using DBOS and FastAPI.
- The guide covers a single service, several REST APIs, and a PostgreSQL database.
- The checkout workflow is created and backed out if it fails, returning reserved inventory and marking the order as cancelled.
- The guide also shows how to write the HTTP endpoints for payment and checkout and retrieve product information.
- The guide concludes with creating a workflow to dispatch orders that have been paid for.
- The source code for this example is available on GitHub and also provides additional information on deploying to the cloud and running the app locally.
- DBOS serves as a backend to make the application scalable and resilient.
- DBOS provides durable execution to write crashproof workflows, uses queues to manage API rate limits gracefully, and scheduled workflows to run functions at recurring intervals.
- Other example applications created using DBOS can also be explored.
- Overall the guide provides a useful showcase of how to build a crashproof cloud backend in Python using REST and PostgreSQL.
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