Python FastAPI Tutorial (Part 16): AWS S3 and Boto3 - Moving File Uploads to the Cloud
The video walks developers through upgrading a FastAPI blog app’s image handling from local disk storage to Amazon S3, emphasizing why container‑based deployments require durable, external object storage. It outlines the practical steps: installing the Boto3 SDK, creating an S3 bucket with a globally unique name, disabling default public blocks for a specific "profile‑pics" prefix, and attaching a bucket policy that permits public reads only for that path. An IAM policy is then crafted to grant the application least‑privilege put and delete rights, and an IAM user with access keys is generated for local or non‑AWS hosting. Key examples include the bucket‑naming constraints (lowercase, no underscores), the JSON policy snippets that restrict actions to the "profile‑pics/*" prefix, and the reminder to store access keys in a .env file that is git‑ignored. The presenter also stresses the importance of cleaning up displayed credentials after the demo. By moving uploads to S3, the app gains scalability, resilience across container restarts, and cost‑effective storage while maintaining security through scoped policies. This transformation readies the codebase for production deployments on any cloud or VPS environment.
Python FastAPI Tutorial (Part 15): PostgreSQL and Alembic - Database Migrations for Production
The video walks developers through converting a FastAPI tutorial project from a development‑only SQLite database to a production‑ready PostgreSQL setup, and introduces Alembic for managing schema migrations. It explains why SQLite’s file‑based model and the use of create_all() are unsuitable...
