FastAPI Tutorial Series

Welcome to the FastAPI & Kubernetes Tutorial Series with PyCharm & AWS EKS.

Prerequisites

Before starting up this project, make sure you have an AWS account and PyCharm installed in your machine.

AWS Command Line Interface - The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services.
eksctl - The official CLI for Amazon EKS
Docker - Docker helps developers bring their ideas to life by conquering the complexity of app development.
Kubernetes - also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications.
Helm - The package manager for Kubernetes. Helm helps you manage Kubernetes applications — Helm Charts help you define, install, and upgrade even the most complex Kubernetes application.
PostgreSQL - The World's Most Advanced Open Source Relational Database
Redis - open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker
NICE DCV (Optional) - Deliver high-performance remote desktop and application streaming. If you are interested to run your workload directly in AWS.

Make sure your system is up-to-date.
Run the below command to install python system dependencies along-with postgres driver.

$ sudo apt-get install libpq-dev python-dev libssl-dev

$ pip install -r requirements.txt

$ uvicorn main:app --reload

Make sure to update the environment variables in ecommerce/config.py, before starting up the project.

Make sure before starting up Celery, redis is up and running.

Command to start celery worker :

$ celery -A main.celery worker -l info

or with execution pool

$ celery -A main.celery worker -l info --pool=prefork

Reference Materials:

Before proceeding make sure you have created a test database in Postgres.

If you are interested to know more about AWS with Python, then you can follow the below links.