Developing FastAPI Application using K8s & AWS

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

This tutorial will be entirely focused on FastAPI along-with playing with titans like Kubernetes & Amazon Web Services.

There are a lot of features we are going to cover:

Note: We'll be using PyCharm Professional Edition for all the steps in this tutorial.

Introducing FastAPI, a modern, fast (high-performance), web framework.

Setting up FastAPI project type in PyCharm Professional.

Configuring database connection with SQLAlchemy and FastAPI.

Setting up database migrations with Alembic.

Implementing a REST API for User modules using Pydantic & API Router.

Performing CRUD operations in our User module.

Performing CRUD operations in Products & Category Module.

Performing CRUD operations in Orders & Cart Module.

Performing CRUD operations in Orders along with placing a new order.

Configuring Celery & Redis with FastAPI.

Integrating FastAPI with JWT Tokens.

Writing Unit Tests using Pytest & Asyncio.

Writing K8s manifests & deploying in minikube.

Combine your K8s manifests into a single package using Helm Charts.

Deploying application using EKS, RDS, ElastiCache, Route53 & AWS Certificate Manager.

Cleaning up stack (removing RDS, EKS, ElastiCache, LoadBalancer, Route53).

Reference materials which helped to prepare this tutorial.